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Visual modeling reveals cryptic aspect in egg mimicry of Himalayan Cuckoo(Cuculus saturatus) on its host Blyth's Leaf Warbler(Phylloscopus reguloides) 认领 引用 被引量：12
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作者 杨灿朝 蔡燕 梁伟 《Zoological Research》 CSCD 北大核心 2011年第4期451-455,共5页
Brood parasitism and egg mimicry of Himalayan Cuckoo（Cuculus saturatus） on its host Blyth＇s Leaf Warbler（Phylloscopus reguloides） were studied in south-western China from April to July 2009.The cuckoo laid a whit... Brood parasitism and egg mimicry of Himalayan Cuckoo（Cuculus saturatus） on its host Blyth＇s Leaf Warbler（Phylloscopus reguloides） were studied in south-western China from April to July 2009.The cuckoo laid a white egg with fine brown markings on the blunt end.The eggs were conspicuously bigger than the host＇s own,with 2.06 g in mass and 1.91 cm3 in volume.Visual modeling showed that the cuckoo eggs,which from the human eye appeared to mimic the host eggs to a great extent,were completely different from the host eggs in both hue and chroma.The characters of the Himalayan Cuckoo nestling,reported for the first time,included two triangular and black patches on its gape,which appeared from four days old and became darker with age and growth.While this character also exists in nestlings of Oriental Cuckoo（C.optatus）,it has not been found for other Cuculus species.Our results reveal cryptic aspects in the cuckoo-host egg color matching,which are not visible to the naked human eye,and indicate that high mimetic cuckoo eggs rejected by hosts,as determined by human observers in previous studies,might not be mimetic as birds see them. 展开更多
关键词 Egg color Egg matching Visual modeling Spectrophotometer Cuculus saturatus Phylloscopus reguloides Robinson projection
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Visual Modeling of Rice Root Growth Based on B-Spline Curve 认领 引用
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作者 YANG Le TANG Zizong +3 位作者 WU Panpan PENG Jun SHI Junlin LONG Lan 《Wuhan University Journal of Natural Sciences》 CAS CSCD 2022年第1期85-92,共8页
As a major food production crop in China,the growth and development of rice is an extremely complex systemic process,and the root system is the main organ for rice to obtain nutrients.Therefore,3D modeling and visuali... As a major food production crop in China,the growth and development of rice is an extremely complex systemic process,and the root system is the main organ for rice to obtain nutrients.Therefore,3D modeling and visualization of the rice root system can help to further understand its morphology,structure and function,and provide an aid for scientific cultivation of rice and improving rice yield for decision making.In this paper,a mathematical model of the rice root system is established based on the B spline curve combined with the L-system approach,using mathematical knowledge based on the 3D morphological characteristics of the real rice root system.The B-Spline Curve is chosen to simulate this,and the recursive definition of B-Spline Curve and its formula are used to realize the modeling of the rice root system curve.Based on the mathematical method of rice root system integration,the bending effect of rice root system at different periods and different growth positions is realized.Finally,the L-system combined with B-Spline Curve is used to construct a rice root system model and realize the rice root system visualization simulation.The simulated image is closer to the real rice root system image in terms of morphological structure and has a strong sense of realism. 展开更多
关键词 rice root system visual modeling L-system B-Spline Curve
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Prompt reverse learning:enhancing visual language models for medical image recognition 认领 引用
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作者 Shuhan Zhu Yonggang Zhang Xinmei Tian 《Journal of University of Science and Technology of China》 CAS CSCD 北大核心 2026年第1期23-33,I0001,共11页
Large visual language models such as CLIP have demonstrated impressive performance on various downstream tasks involving natural images,by leveraging prompt learning.However,these models often falter when applied to t... Large visual language models such as CLIP have demonstrated impressive performance on various downstream tasks involving natural images,by leveraging prompt learning.However,these models often falter when applied to tasks involving medical images.We provide an experimental insight into this phenomenon:CLIP is insensitive to the class names of medical images.For instance,replacing the class name“medulloblastoma”(a type of brain tumor)with“dog”in prompts has minimal impact on performance,a phenomenon not observed with natural images.To realign prompt learning with medical image recognition,we propose a novel prompt learning strategy,termed prompt reverse learning(PeLen).Different from the existing methods that adapt CLIP’s representations to downstream tasks,PeLen adapts task-specific representations to CLIP’s representations.Built upon the insensitivity to the class names of medical images,PeLen designates natural images and their class names to represent a specific class of medical images and class names,e.g.,allowing the image and text of a dog to correspond to the image and text of medulloblastoma.Consequently,PeLen learns prompts to align the representations between the medical images and the visual and textual representations of natural images.Our experiments demonstrate the efficacy of PeLen for medical image recognition. 展开更多
关键词 prompt learning image recognition visual language model
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TriLVM-UNet:Multi-Scale State Space Modeling with Cross-Channel Fusion Attention Mechanism for Precise Medical Image Segmentation 认领 引用
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作者 Kexin Zhang Lihua Liu +3 位作者 Yuting Xue Tao Zhou Fengshuai Yue Ruifeng Du 《Computers, Materials & Continua》 SCIE EI 2026年第9期2223-2252,共30页
Traditional Mamba-UNet integrations employ four-stage architectures,replacing conventional five-stage UNets with VMamba blocks for global dependency modeling.Unlike Transformers,which suffer from quadratic complexity ... Traditional Mamba-UNet integrations employ four-stage architectures,replacing conventional five-stage UNets with VMamba blocks for global dependency modeling.Unlike Transformers,which suffer from quadratic complexity and high memory consumption in self-attention,Mamba-UNet achieves efficient global modeling through linear-complexity state space modeling.This paper proposes TriLVM-UNet,a lightweight three-stage architecture that integrates parameter-efficient VMamba blocks and enhances cross-stage feature interaction via an improved skip-attention bridge(SAB)module inspired by UltraLight VM-UNet.The model incorporates a Lightweight Vision Mamba(LVM)layer for high-resolution feature extraction,alongside multi-scale dilated convolution(MSDC)and convolutional block attention module(CBAM)for enhanced feature fusion.Evaluated on the 3D ACDC dataset against six baseline models,TriLVM-UNet achieves 98.57%accuracy.The GitHub repository is available at:http://gffzz188fe103f8f1460aswvqbvq9wp5wv69pp.ffgz.tsg.suse.edu.cn/730432ch/TriLVM-UNet. 展开更多
关键词 Medical image segmentation visual state space model TriLVM-UNet lightweight architecture
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A visual modeling method for spatiotemporal and multidimensional features in epidemiological analysis:Applied COVID-19 aggregated datasets 认领 引用
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作者 Yu Dong Christy Jie Liang +1 位作者 Yi Chen Jie Hua 《Computational Visual Media》 SCIE EI CSCD 2024年第1期161-186,共26页
The visual modeling method enables flexible interactions with rich graphical depictions of data and supports the exploration of the complexities of epidemiological analysis.However,most epidemiology visualizations do ... The visual modeling method enables flexible interactions with rich graphical depictions of data and supports the exploration of the complexities of epidemiological analysis.However,most epidemiology visualizations do not support the combined analysis of objective factors that might influence the transmission situation,resulting in a lack of quantitative and qualitative evidence.To address this issue,we developed a portrait-based visual modeling method called+msRNAer.This method considers the spatiotemporal features of virus transmission patterns and multidimensional features of objective risk factors in communities,enabling portrait-based exploration and comparison in epidemiological analysis.We applied+msRNAer to aggregate COVID-19-related datasets in New South Wales,Australia,combining COVID-19 case number trends,geo-information,intervention events,and expert-supervised risk factors extracted from local government area-based censuses.We perfected the+msRNAer workflow with collaborative views and evaluated its feasibility,effectiveness,and usefulness through one user study and three subject-driven case studies.Positive feedback from experts indicates that+msRNAer provides a general understanding for analyzing comprehension that not only compares relationships between cases in time-varying and risk factors through portraits but also supports navigation in fundamental geographical,timeline,and other factor comparisons.By adopting interactions,experts discovered functional and practical implications for potential patterns of long-standing community factors regarding the vulnerability faced by the pandemic.Experts confirmed that+msRNAer is expected to deliver visual modeling benefits with spatiotemporal and multidimensional features in other epidemiological analysis scenarios. 展开更多
关键词 visual modeling epidemiological analysis spatiotemporal multidimensional COVID-19
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Dynamic Visual Image Modeling Based on Mobile RobotSelf- Organizing Network in Internetof Things Perception Layer 认领 引用 被引量：1
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作者 高立 任旭鹏 李晓博 《China Communications》 SCIE CSCD 2011年第8期49-55,共7页
The dynamic multichannel binocular visual image modeling is studied based on Internet of Things (IoT) Perception Layer, using mobile robot self-organizing network. By employing multigroup mobile robots with binocular ... The dynamic multichannel binocular visual image modeling is studied based on Internet of Things (IoT) Perception Layer, using mobile robot self-organizing network. By employing multigroup mobile robots with binocular visual system, the real visual images of the object will be obtained. Then through the mobile self-organizing network, a three-dimensional model is rebuilt by synthesizing the returned images. On this basis, we formalize a novel algorithm for multichannel binocular visual three-dimensional images based on fast three-dimensional modeling. Compared with the method based on single binocular visual system, the new algorithm can improve the Integrity and accuracy of the dynamic three-dimensional object modeling. The simulation results show that the new method can effectively accelerate the modeling speed, improve the similarity and not increase the data size. 展开更多
关键词 IoT perception layer multigroup binocular visual dynamic visual image modeling fast three-dimensional modeling rebuild
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Optimized Modeling Method for Unbalanced Data in High-Level Visual Semantic Concept Classification 认领 引用
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作者 谭励 曹元大 +1 位作者 杨明华 贺巧艳 《Journal of Beijing Institute of Technology》 EI CAS 2009年第2期186-191,共6页
To solve the unbalanced data problems of learning models for semantic concepts, an optimized modeling method based on the posterior probability support vector machine （PPSVM） is presented. A neighborbased posterior ... To solve the unbalanced data problems of learning models for semantic concepts, an optimized modeling method based on the posterior probability support vector machine （PPSVM） is presented. A neighborbased posterior probability estimator for visual concepts is provided. The proposed method has been applied in a high-level visual semantic concept classification system and the experiment results show that it results in enhanced performance over the baseline SVM models, as well as in improved robustness with respect to high-level visual semantic concept classification. 展开更多
关键词 visual concept modeling posterior probability support vector machine unbalanced data
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Modeling Tracer Flow Characteristics in Different Types of Pores: Visualization and Mathematical Modeling 认领 引用 被引量：2
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作者 Tongjing Liu Weixia Liu +6 位作者 Pengxiang Diwu Gaixing Hu TingXu Yuqi Li Zhenjiang You Runwei Qiao Jia Wang 《Computer Modeling in Engineering & Sciences》 SCIE EI 2020年第6期1205-1222,共18页
Structure of porous media and fluid distribution in rocks can significantly affect the transport characteristics during the process of microscale tracer flow.To clarify the effect of micro heterogeneity on aqueous tra... Structure of porous media and fluid distribution in rocks can significantly affect the transport characteristics during the process of microscale tracer flow.To clarify the effect of micro heterogeneity on aqueous tracer transport,this paper demonstrates microscopic experiments at pore level and proposes an improved mathematical model for tracer transport.The visualization results show a faster tracer movement into movable water than it into bound water,and quicker occupancy in flowing pores than in storage pores caused by the difference of tracer velocity.Moreover,the proposed mathematical model includes the effects of bound water and flowing porosity by applying interstitial flow velocity expression.The new model also distinguishes flowing and storage pores,accounting for different tracer transport mechanisms(dispersion,diffusion and adsorption)in different types of pores.The resulting analytical solution better matches with tracer production data than the standard model.The residual sum of squares(RSS)from the new model is 0.0005,which is 100 times smaller than the RSS from the standard model.The sensitivity analysis indicates that the dispersion coefficient and flowing porosity shows a negative correlation with the tracer breakthrough time and the increasing slope,whereas the superficial velocity and bound water saturation show a positive correlation. 展开更多
关键词 Tracer flow characteristics different types of pores interstitial flow velocity visualization and mathematical modeling tracer concentration prediction model
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The establishment of 3D visualization modeling for the jointed slope 认领 引用
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作者 LI Yu XU Jia HAN Chuan 《Journal of Civil Engineering and Architecture》 2009年第3期23-30,共8页
The 3D visualization model of slop with structural plane can displayed the characters of structural plane in slop directly, and illustrated the spatial combination. It is a modem and critical question in the field of ... The 3D visualization model of slop with structural plane can displayed the characters of structural plane in slop directly, and illustrated the spatial combination. It is a modem and critical question in the field of geotechnical engineering. Based on the peculiarity of the reconnaissance and the research of the visualization by formers, systemized the method fit for building 3D visualization model of slop with structural plane. Write the special program with Visual C^-＋ computer language and illustrated it by OpenGL, the program can displayed and captured the random section plane. The program has a satisfied result by proving with the real projects. 展开更多
关键词 slop with structural plane 3D visualization model moving least squares method computer simulation
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Secondary Realignment:An Embodied Intelligent Operational Framework Integrating Vision-Language and Action Two-Stage Models 认领 引用
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作者 Jinjiang Lin Yuan Lu +3 位作者 Han Li Xiaolong Cai Enyi Chen Jiansheng Guan 《Computers, Materials & Continua》 SCIE EI 2026年第7期2047-2066,共20页
Manipulating objects based on verbal commands in cluttered environments remains a critical challenge in robotic arm research.Verbal commands possess high semantic abstraction,while precise grasping and placement actio... Manipulating objects based on verbal commands in cluttered environments remains a critical challenge in robotic arm research.Verbal commands possess high semantic abstraction,while precise grasping and placement actions rely on fine-grained geometric perception.The disparity between these two domains is the primary cause of operational errors.Particularly in certain cluttered scenarios,visual-spatial noise and background redundancy further disrupt attention distribution,significantly degrading the generalization capabilities of existing methods in unseen environments.To address these issues,this paper proposes the Secondary Realignment(SR)framework.It decouples vision-language alignment and vision-action alignment into two stages,mitigating semantic-geometric discrepancies through a hierarchical approach to substantially reduce errors in cross-modal mapping.Simultaneously,to address noise and redundancy in visual-language features,we design a Deep Sparse Self-Attention(DSSA)module.This module dynamically fuses sparse and dense attention mechanisms through self-learning parameters,adaptively enhancing relevant features while suppressing irrelevant noise.Extensive simulation experimental results demonstrate that compared to the state-of-the-art method A2,our approach achieves 9.7%,9.9%,and 17.6%higher task success rates in grasping,placing,and pick-and-place tasks,respectively,further validating its effectiveness. 展开更多
关键词 Robot grasping visual language model language-conditional grasping attention mechanism
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Application of Three-Dimensional Visual Simulation in Tidal Defense Engineering 认领 引用 被引量：1
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作者 钟登华 杨斌 +2 位作者 李文倩 刘东海 佟大威 《Transactions of Tianjin University》 EI CAS 2013年第1期1-9,共9页
Any tidal defense engineering involves the collection and analysis of massive information about engineering structures and their surrounding environment. Traditional method, which is carried out mainly by means of two... Any tidal defense engineering involves the collection and analysis of massive information about engineering structures and their surrounding environment. Traditional method, which is carried out mainly by means of twodimensional drawings and textures, is not efficient and intuitive enough to analyze the whole project and reflect its spatial relationship. Three-dimensional visual simulation provides an advanced technical means of solving this problem. In this paper, triangular irregular network (TIN) model simplified by non-uniform rational B-splines (NURBS) technique was used to establish the digital terrain model (DTM) of a super large region. Simulation of dynamic water surface was realized by combining noise function with sine wave superposition method. Models of different objects were established with different modeling techniques according to their characteristics. Application of texture mapping technology remarkably improved the authenticity of the models. Taking the tidal defense engineering in the new coastal region of Tianjin as a case study, three-dimensional visual simulation and dynamic roaming of the study area were realized, providing visual analysis and visible demonstration method for the management and emergency decision-making associated with construction. 展开更多
关键词 tidal defense engineering three-dimensional visual simulation simulation modeling
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Chromatic and achromatic differences of melanin-and carotenoid-based plumage coloration in five minivet species(Pericrocotus spp.)under conspecific and predator visual systems 认领 引用
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作者 Yan Cai Xiangyang Chen +1 位作者 Neng Wu Canchao Yang 《Avian Research》 SCIE CSCD 2023年第1期93-98,共6页
Adaptive mate choice has been accepted as the leading theory to explain the colorful plumage of birds.This theory hypothesizes that conspicuous colors act as signals to advertise the qualities of the owners.However,a ... Adaptive mate choice has been accepted as the leading theory to explain the colorful plumage of birds.This theory hypothesizes that conspicuous colors act as signals to advertise the qualities of the owners.However,a dilemma arises in that conspicuous colors may not only attract mates,but also alert predators.The"private channels of communication"hypothesis proposes that some intraspecific signals may not be visible to heterospecific animals because of different visual systems.To better understand the evolution of plumage colors and sexual selection in birds,here we studied the chromatic difference and achromatic differences of melanin-and carotenoid-based plumage coloration in five minivet species(Pericrocotus spp.)under conspecific and predator visual systems.We found that either the chromatic or achromatic difference among male or female minivets’plumage was consistently higher under conspecific vision than under predator vision for all five studied species of minivets.This result indicated that individual differences in plumage colors of minivets were visible to the conspecific receivers and hidden from potential predators as a result of evolution under predation risk and conspecific communication.However,males were under a higher risk of predation because they were more conspicuous than females to the vision of a nocturnal predator. 展开更多
关键词 Achromatic difference Adaptive mate choice Chromatic difference Omamental plumage Visual modelling
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Traffic danger detection by visual attention model of sparse sampling 认领 引用
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作者 夏利民 刘涛 谭论正 《Journal of Central South University》 SCIE EI CAS CSCD 2015年第10期3916-3924,共9页
A method to detect traffic dangers based on visual attention model of sparse sampling was proposed. The hemispherical sparse sampling model was used to decrease the amount of calculation which increases the detection ... A method to detect traffic dangers based on visual attention model of sparse sampling was proposed. The hemispherical sparse sampling model was used to decrease the amount of calculation which increases the detection speed. Bayesian probability model and Gaussian kernel function were applied to calculate the saliency of traffic videos. The method of multiscale saliency was used and the final saliency was the average of all scales, which increased the detection rates extraordinarily. The detection results of several typical traffic dangers show that the proposed method has higher detection rates and speed, which meets the requirement of real-time detection of traffic dangers. 展开更多
关键词 traffic dangers visual attention model sparse sampling Bayesian probability model multiscale saliency
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From neurogenesis to neuronal regeneration: the amphibian olfactory system as a model to visualize neuronal development in vivo 认领 引用
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作者 Ivan Manzini 《Neural Regeneration Research》 SCIE CAS CSCD 2015年第6期872-874,共3页
How do individual neurons develop and how are they in- tegrated into neuronal circuitry？ To answer this question is essential to understand how the nervous system develops and how it is maintained during the adult li... How do individual neurons develop and how are they in- tegrated into neuronal circuitry？ To answer this question is essential to understand how the nervous system develops and how it is maintained during the adult life. A neural stem cell must go through several stages of maturation, including proliferation, migration, differentiation, and integration, to become fully embedded to an existing neuronal circuit. The knowledge on this topic so far has come mainly from cell culture studies. Studying the development of individual neurons within intact neuronal networks in vivo is inherently difficult. Most neurons are generated form neural stem cells during embryonic and early postnatal development. 展开更多
关键词 the amphibian olfactory system as a model to visualize neuronal development in vivo Figure
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Experimental investigation on migration and retention mechanisms of elastic gel particles(EGPs)in pore-throats using multidimensional visualized models 认领 引用
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作者 Yi-Fei Liu Chen-Wei Zou +4 位作者 Xu-Guang Lou Ming-Wei Gao Guang Zhao Ming-Wei Zhao Cai-Li Dai 《Petroleum Science》 SCIE CAS CSCD 2022年第5期2374-2386,共13页
Knowledge of migration and retention mechanisms of elastic gel particles(EGPs)in pore-throats is essential for the effective application of EGPs as a smart sweep improvement and profile control agent for enhanced oil ... Knowledge of migration and retention mechanisms of elastic gel particles(EGPs)in pore-throats is essential for the effective application of EGPs as a smart sweep improvement and profile control agent for enhanced oil recovery(EOR).The matching coefficient(defined as the ratio of particle size to pore-throat size)is used to investigate its influence on migration,retention and profile control performance of EGPs.A 1-D continuous pore-throat visualization model(PTVM),a 2-D heterogeneous PTVM and a 3-D heterogeneous core model were constructed and used to investigate pore-scale migration,retention and controlling mechanism of migration and retention characteristics on EGPs profile control.The results of the 1-D continuous PTVM indicated that while the matching coefficient was in the optimal range(i.e.,0.20-0.32),the EGPs could not only smoothly migrate to the deeper pore-throats,but also form stable retention in the pores to resist the erosion of injected water,which was conducive to the effective indepth profile control.The results of the 2-D heterogeneous PTVM verified that the sweep efficiency in low-permeability regions could be significantly improved by in-depth migration and stable retention of EGPs in the pore-throats with an optimal matching coefficient(0.29),which was much better than that in cases with a smaller matching coefficient(0.17)or an excessive matching coefficient(0.39).Moreover,the NMR displacement experiments of 3-D heterogeneous cores were carried out to simulate the EGPs profile control in actual reservoir porous media.Saturation images and T2 spectrum curves of crude oil showed that EOR in the low-permeability layer was highest(56.1%)using EGPs profile control with an optimal matching coefficient,attributing to the in-depth migration and stable retention of EGPs. 展开更多
关键词 Enhanced oil recovery Elastic gel particles Matching coefficient In-depth profile control Pore-throat visualization models
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Effective Video Summarization Approach Based on Visual Attention 认领 引用
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作者 Hilal Ahmad Habib Ullah Khan +3 位作者 Sikandar Ali Syed Ijaz Ur Rahman Fazli Wahid Hizbullah Khattak 《Computers, Materials & Continua》 SCIE EI 2022年第4期1427-1442,共16页
Video summarization is applied to reduce redundancy and developa concise representation of key frames in the video, more recently, video summaries have been used through visual attention modeling. In these schemes,the... Video summarization is applied to reduce redundancy and developa concise representation of key frames in the video, more recently, video summaries have been used through visual attention modeling. In these schemes,the frames that stand out visually are extracted as key frames based on humanattention modeling theories. The schemes for modeling visual attention haveproven to be effective for video summaries. Nevertheless, the high cost ofcomputing in such techniques restricts their usability in everyday situations.In this context, we propose a method based on KFE (key frame extraction)technique, which is recommended based on an efficient and accurate visualattention model. The calculation effort is minimized by utilizing dynamicvisual highlighting based on the temporal gradient instead of the traditionaloptical flow techniques. In addition, an efficient technique using a discretecosine transformation is utilized for the static visual salience. The dynamic andstatic visual attention metrics are merged by means of a non-linear weightedfusion technique. Results of the system are compared with some existing stateof-the-art techniques for the betterment of accuracy. The experimental resultsof our proposed model indicate the efficiency and high standard in terms ofthe key frames extraction as output. 展开更多
关键词 KFE video summarization visual saliency visual attention model
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A ROBUST ADAPTIVE VIDEO ENCODER BASED ON HUMAN VISUAL MODEL 认领 引用 被引量：2
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作者 Yin Hao Zhang Jiangshan Zhu Yaoting Zhu Guangxi 《Journal of Electronics(China)》 2003年第2期142-149,共8页
A Robust Adaptive Video Encoder (RAVE) based on human visual model is proposed. The encoder combines the best features of Fine Granularity Scalable (FGS) coding, framedropping coding, video redundancy coding, and huma... A Robust Adaptive Video Encoder (RAVE) based on human visual model is proposed. The encoder combines the best features of Fine Granularity Scalable (FGS) coding, framedropping coding, video redundancy coding, and human visual model. According to packet loss and available bandwidth of the network, the encoder adjust the output bit rate by jointly adapting quantization step-size instructed by human visual model, rate shaping, and periodically inserting key frame. The proposed encoder is implemented based on MPEG-4 encoder and is compared with the case of a conventional FGS algorithm. It is shown that RAVE is a very efficient robust video encoder that provides improved visual quality for the receiver and consumes equal or less network resource. Results are confirmed by subjective tests and simulation tests. 展开更多
关键词 FGS coding Redundancy coding Human visual model Rate shaping MPEG 4
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INDUSTRIAL ENGINEERING AND VISUALISATION—A PRODUCT DEVELOPMENT PERSPECTIVE 认领 引用 被引量：1
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作者 YAN Xiutian 《Chinese Journal of Mechanical Engineering》 EI CAS 2007年第6期99-103,共5页
Taking the actual project of teaching and researching process for example, the relationship between the industrial engineering and product development is discussed. And use the novel visualization technology to suppor... Taking the actual project of teaching and researching process for example, the relationship between the industrial engineering and product development is discussed. And use the novel visualization technology to support the industrial engineering and product development. How to use the new computer modeling and simulating technologies to support the product development and industrial engineering, is introduced especially. The support includes both domestic products and industrial systems. The visualization and computer technologies take a very impo[tant role in some system or multi-direction modeling, those technologies mentioned above can help the industrial engineers study the effect of design on the whole life circle, including the producing steps. So the engineers can avoid making the wrong decision which may cause bad effects on the whole industrial engineering. 展开更多
关键词 Visualization Modeling and simulation Industrial engineering
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Vehicle Real-time Location Based on Visual Perception Model 认领 引用 被引量：1
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作者 LIUZhi－fang YOUZhi－sheng 《Semiconductor Photonics and Technology》 2003年第1期55-61,共7页
Vehicle recognition system (VRS) plays a very important role in the field of intelligent transportation systems.A novel and intuitive method is proposed for vehicle location.The method we provide for vehicle location ... Vehicle recognition system (VRS) plays a very important role in the field of intelligent transportation systems.A novel and intuitive method is proposed for vehicle location.The method we provide for vehicle location is based on human visual perception model technique. The perception color space HSI in this algorithm is adopted.Three color components of a color image and more potential edge patterns are integrated for solving the feature extraction problem.A fast and automatic threshold technique based on human visual perception model is also developed.The vertical edge projection and horizontal edge projection are adopted for locating left-right boundary of vehicle and top-bottom boundary of vehicle, respectively. Very promising experimental results are obtained using real-time vehicle image sequences, which have confirmed that this proposed location vehicle method is efficient and reliable, and its calculation speed meets the needs of the VRS. 展开更多
关键词 vehicle recognition system vehicle location visual perception model vertical edge projection horizontal edge projection dynamic target detection
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Natural Scene Classification Inspired by Visual Perception and Cognition Mechanisms 认领 引用
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作者 ZHANG Rui 《重庆理工大学学报（自然科学）》 CAS 2011年第7期24-43,共20页
The process of human natural scene categorization consists of two correlated stages: visual perception and visual cognition of natural scenes.Inspired by this fact,we propose a biologically plausible approach for natu... The process of human natural scene categorization consists of two correlated stages: visual perception and visual cognition of natural scenes.Inspired by this fact,we propose a biologically plausible approach for natural scene image classification.This approach consists of one visual perception model and two visual cognition models.The visual perception model,composed of two steps,is used to extract discriminative features from natural scene images.In the first step,we mimic the oriented and bandpass properties of human primary visual cortex by a special complex wavelets transform,which can decompose a natural scene image into a series of 2D spatial structure signals.In the second step,a hybrid statistical feature extraction method is used to generate gist features from those 2D spatial structure signals.Then we design a cognitive feedback model to realize adaptive optimization for the visual perception model.At last,we build a multiple semantics based cognition model to imitate human cognitive mode in rapid natural scene categorization.Experiments on natural scene datasets show that the proposed method achieves high efficiency and accuracy for natural scene classification. 展开更多
关键词 natural scene classification visual perception model visual cognition model
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