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检索条件"任意字段=2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2006"
6858 条 记 录,以下是281-290 订阅
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Efficient optimal kernel placement for reliable visual tracking
Efficient optimal kernel placement for reliable visual track...
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2006 ieee computer society conference on computer vision and pattern recognition, cvpr 2006
作者: Fan, Zhimin Yang, Ming Wu, Ying Hua, Gang Yu, Ting Department of Electrical and Computer Engineering Northwestern University
This paper describes a novel approach to optimal kernel placement in kernel-based tracking. If kernels are placed at arbitrary places, kernel-based methods are likely to be trapped in ill-conditioned locations, which ... 详细信息
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A joint illumination and shape model for visual tracking
A joint illumination and shape model for visual tracking
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2006 ieee computer society conference on computer vision and pattern recognition, cvpr 2006
作者: Kale, Amit Jaynes, Christopher Ctr. for Visualization and Virtual Environments Department of Computer Science University of Kentucky
Visual tracking involves generating an inference about the motion of an object from measured image locations in a video sequence. In this paper we present a unified framework that incorporates shape and illumination i... 详细信息
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Neurodata Lab's approach to the Challenge on computer vision for Physiological Measurement
Neurodata Lab's approach to the Challenge on Computer Vision...
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ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Artemyev, Mikhail Churikova, Marina Grinenko, Mikhail Perepelkina, Olga Neurodata Lab LLC Miami FL 33137 USA Lomonosov Moscow State Univ Fac Biol Dept Higher Nervous Act Moscow Russia
This paper introduces the Neurodata Lab's approach presented at the 1st Challenge on Remote Physiological Signal Sensing (RePSS) organized within cvpr2020. The RePSS challenge was focused on measuring the average ... 详细信息
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Image denoising via learned dictionaries and sparse representation
Image denoising via learned dictionaries and sparse represen...
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2006 ieee computer society conference on computer vision and pattern recognition, cvpr 2006
作者: Elad, Michael Aharon, Michal Department of Computer Science Technion - Israel Institute of Technology Haifa 32000 Israel
We address the image denoising problem, where zero-mean white and homogeneous Gaussian additive noise should be removed from a given image. The approach taken is based on sparse and redundant representations over a tr... 详细信息
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Spatial divide and conquer with motion cues for tracking through clutter
Spatial divide and conquer with motion cues for tracking thr...
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2006 ieee computer society conference on computer vision and pattern recognition, cvpr 2006
作者: Yin, Zhaozheng Collins, Robert Department of Computer Science and Engineering Pennsylvania State University
Tracking can be considered a two-class classification problem between the foreground object and its surrounding background. Feature selection to better discriminate object from background is thus a critical step to en... 详细信息
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Real-time visual SLAM with resilience to erratic motion
Real-time visual SLAM with resilience to erratic motion
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2006 ieee computer society conference on computer vision and pattern recognition, cvpr 2006
作者: Pupilli, Mark Calway, Andrew Department of Computer Science University of Bristol United Kingdom
Simultaneous localisation and mapping using a single camera becomes difficult when erratic motions violate predictive motion models. This problem needs to be addressed when visual SLAM algorithms are transferred from ... 详细信息
来源: 评论
Clustering appearances of 3D objects
Clustering appearances of 3D objects
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1998 ieee computer-society conference on computer vision and pattern recognition
作者: Basri, R Roth, D Jacobs, D Weizmann Inst Sci Dept Appl Math IL-76100 Rehovot Israel
We introduce a method for unsupervised clustering of images of 3D objects. Our method examines the space of all images and partitions the images into sets that form smooth and parallel surfaces in this space. Ii furth... 详细信息
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Model order selection and cue combination for image segmentation
Model order selection and cue combination for image segmenta...
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2006 ieee computer society conference on computer vision and pattern recognition, cvpr 2006
作者: Rabinovich, Andrew Lange, Tilman Buhmann, Joachim M. Belongie, Serge Department of Computer Science and Engineering University of California San Diego San Diego CA 92093 United States Institute of Computational Science ETH Zurich CH-8050 Zurich Switzerland
Model order selection and cue combination are both difficult open problems in the area of clustering. In this work we build upon stability-based approaches to develop a new method for automatic model order selection a... 详细信息
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Leveraging Cognitive Context for Object recognition
Leveraging Cognitive Context for Object Recognition
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27th ieee conference on computer vision and pattern recognition (cvpr)
作者: Lawson, Wallace Hiatt, Laura Trafton, J. Gregory Naval Res Lab Washington DC 20375 USA
Contextual information can greatly improve both the speed and accuracy of object recognition. Context is most often viewed as a static concept, learned from large image databases. We build upon this concept by explori... 详细信息
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Multiple object class detection with a generative model
Multiple object class detection with a generative model
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2006 ieee computer society conference on computer vision and pattern recognition, cvpr 2006
作者: Mikolajczyk, Krystian Leibe, Bastian Schiele, Bernt University of Surrey Guildford United Kingdom ETH Zurich Switzerland TU-Darmstadt Darmstadt Germany
In this paper we propose an approach capable of simultaneous recognition and localization of multiple object classes using a generative model. A novel hierarchical representation allows to represent individual images ... 详细信息
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