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检索条件"任意字段=2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2005"
6545 条 记 录,以下是191-200 订阅
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Nonparametric subspace analysis for face recognition
Nonparametric subspace analysis for face recognition
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conference on computer vision and pattern recognition
作者: Li, ZF Liu, W Lin, DH Tang, XO Chinese Univ Hong Kong Dept Informat Engn Shatin Hong Kong Peoples R China
Linear discriminant analysis (LDA) is a popular face recognition technique. However, an inherent problem with this technique stems from the parametric nature of the scatter matrix, in which the sample distribution in ... 详细信息
来源: 评论
Closest point search in high dimensions
Closest point search in high dimensions
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1966 ieee computer society conference on computer vision and pattern recognition
作者: Nene, SA Nayar, SK COLUMBIA UNIV DEPT COMP SCINEW YORKNY 10027
The problem of finding the closest point in high-dimensional spaces is common in computational vision. Unfortunately, the complexity of most existing search algorithms, such as k-d tree and R-tree, grows exponentially... 详细信息
来源: 评论
Viewpoint variation in the noise sensitivity of pose estimation
Viewpoint variation in the noise sensitivity of pose estimat...
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1966 ieee computer society conference on computer vision and pattern recognition
作者: Madsen, CB AALBORG UNIV INST ELECT SYSTLAB IMAGE ANALDK-9220 AALBORG ODENMARK
The paper presents an analysis of the stability of pose estimation. The investigated pose estimation technique is based on orientations of three edge segments and provides the rotation part of object pose. The specifi... 详细信息
来源: 评论
Runway obstacle detection by controlled spatiotemporal image flow disparity
Runway obstacle detection by controlled spatiotemporal image...
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1966 ieee computer society conference on computer vision and pattern recognition
作者: Sull, S Sridhar, B NASA AMES RES CTRMOFFETT FIELDCA 94035
This paper proposes a method for detecting obstacles on a runway by controlling their expected disparities. By approximating the runway by a planar surface, the initial model flow field (MFF) corresponding to an obsta... 详细信息
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Object recognition in 3D Lidar Data with Recurrent Neural Network
Object Recognition in 3D Lidar Data with Recurrent Neural Ne...
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ieee-computer-society conference on computer vision and pattern recognition Workshops
作者: Prokhorov, Danil V. TEMA TTC Toyota Res Inst NA Ann Arbor MI 48105 USA
This paper introduces a new method for object recognition which is based on a recurrent neural network trained in a supervised mode. The RNN inputs 3-dimensional laser scanner data sequentially, in a natural temporal ... 详细信息
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Scene-adapted structured light
Scene-adapted structured light
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2005 ieee computer society conference on computer vision and pattern recognition, cvpr 2005
作者: Koninckx, Thomas P. Peers, Pieter Dutré, Philip Van Gool, Luc Katholieke Universiteit Leuven Dep. ESAT/VISICS Leuven Belgium Katholieke Universiteit Leuven Dep. Computer Science Leuven Belgium D-ITET BIWI Zürich Switzerland
In order to overcome several limitations of structured light 3D acquisition methods, the colors, intensities, and shapes of the projected patterns are adapted to the scene. Based on a crude estimate of the scene geome... 详细信息
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Feature uncertainty arising from covariant image noise
Feature uncertainty arising from covariant image noise
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2005 ieee computer society conference on computer vision and pattern recognition, cvpr 2005
作者: Matt Steele, R. Jaynes, Christopher Dept. of Computer Science University of Kentucky United States
Uncertainty estimates related to the position of image features are seeing increasing use in several computer vision problems. Many of these have been recast from standard least squares model fitting to techniques tha... 详细信息
来源: 评论
Fisher+Kernel Criterion for discriminant analysis
Fisher+Kernel Criterion for discriminant analysis
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2005 ieee computer society conference on computer vision and pattern recognition, cvpr 2005
作者: Yang, Shu Yan, Shuicheng Xu, Dong Tang, Xiaoou Zhang, Chao National Laboratory on Machine Perception Peking University Beijing China Department of Information Engineering Chinese University of Hong Kong Shatin Hong Kong MOE-Microsoft Key Laboratory of Multimedia Computing and Communication Department of EEIS University of Science and Technology of China Hefei Anhui China Microsoft Research Asia Beijing China
We simultaneously approach two tasks of nonlinear discriminant analysis and kernel selection problem by proposing a unified criterion, Fisher+Kernel Criterion. In addition, an efficient procedure is derived to optimiz... 详细信息
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Self-maintaining camera calibration over time
Self-maintaining camera calibration over time
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1997 ieee computer society conference on computer vision and pattern recognition (cvpr 97)
作者: Zhang, ZY Schenk, V ATR HIP Kyoto Japan
The success of an intelligent robotic system depends on the performance of its vision-system which in turn depends to a great extend upon the quality of its calibration. During the execution of a task the vision-syste... 详细信息
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Learning bilinear models for two-factor problems in vision
Learning bilinear models for two-factor problems in vision
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1997 ieee computer society conference on computer vision and pattern recognition (cvpr 97)
作者: Freeman, WT Tenenbaum, JB MERL Cambridge United States
In many vision problems, we want to infer two (or more) hidden factors which interact to produce our observations. We may want to disentangle illuminant and object colors in color constancy;rendering conditions from s... 详细信息
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