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检索条件"任意字段=2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2010"
7219 条 记 录,以下是91-100 订阅
排序:
Randomness and geometric features in computer vision
Randomness and geometric features in computer vision
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1966 ieee computer society conference on computer vision and pattern recognition
作者: Pennec, X Ayache, N INRIA EPIDAURE PROJECTF-06902 SOPHIA ANTIPOLISFRANCE
It is often necessary to handle randomness and geometry is computer vision, for instance to match and fuse together noisy geometric features such as points, lines or 3D frames, or to estimate a geometric transformatio... 详细信息
来源: 评论
Comparative object similarity for improved recognition with few or no examples
Comparative object similarity for improved recognition with ...
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23rd ieee conference on computer vision and pattern recognition (cvpr)
作者: Wang, Gang Forsyth, David Hoiem, Derek Dept. of Electrical and Computer Engineering University of Illinois Urbana-Champaign (UIUC) United States Dept. of Computer Science University of Illinois Urbana-Champaign (UIUC) United States
Learning models for recognizing objects with few or no training examples is important, due to the intrinsic long-tailed distribution of objects in the real world. In this paper, we propose an approach to use comparati...
来源: 评论
Gesture recognition using the perseus architecture
Gesture recognition using the perseus architecture
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1966 ieee computer society conference on computer vision and pattern recognition
作者: Kahn, RE Swain, MJ Prokopowicz, PN Firby, RJ UNIV CHICAGO DEPT COMP SCICHICAGOIL 60637
The Perseus system is a purposive visual architecture that has been used to recognize the pointing gesture. recognition of this gesture is an important part of natural human-machine interfaces. Perseus is modularized ... 详细信息
来源: 评论
Edge detection and ridge detection with automatic scale selection
Edge detection and ridge detection with automatic scale sele...
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1966 ieee computer society conference on computer vision and pattern recognition
作者: Lindeberg, T ROYAL INST TECHNOL COMPUTAT VIS & ACT PERCEPT LABS-10044 STOCKHOLMSWEDEN
A systematic methodology is presented for automatic selection of scale levels when detecting one-dimensional features, such as edges and ridges. A novel concept of a scale-space edge is introduced and defined as a con... 详细信息
来源: 评论
Spherical Embeddings for non-Euclidean Dissimilarities
Spherical Embeddings for non-Euclidean Dissimilarities
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23rd ieee conference on computer vision and pattern recognition (cvpr)
作者: Wilson, Richard C. Hancock, Edwin R. Pekalska, Elzbieta Duin, Robert P. W. Univ York Dept Comp Sci York YO10 5DD N Yorkshire England Univ Manchester Sch Comp Sci Manchester M13 9PL Lancs England Delft Univ Technol Fac Elect Engn Math & Comp Sci NL-2600 AA Delft Netherlands
Many computer vision and pattern recognition problems may be posed by defining a way of measuring dissimilarities between patterns. For many types of data, these dissimilarities are not Euclidean, and may not be metri... 详细信息
来源: 评论
Making specific features less discriminative to improve point-based 3D object recognition
Making specific features less discriminative to improve poin...
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23rd ieee conference on computer vision and pattern recognition (cvpr)
作者: Hsiao, Edward Collet, Alvaro Hebert, Martial Carnegie Mellon Univ Inst Robot Pittsburgh PA 15213 USA
We present a framework that retains ambiguity in feature matching to increase the performance of 3D object recognition systems. Whereas previous systems removed ambiguous correspondences during matching, we show that ... 详细信息
来源: 评论
Fast pattern matching using orthogonal Haar transform
Fast pattern matching using orthogonal Haar transform
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23rd ieee conference on computer vision and pattern recognition (cvpr)
作者: Ouyang, Wanli Zhang, Renqi Cham, Wai-Kuen Chinese Univ Hong Kong Hong Kong Hong Kong Peoples R China
pattern matching is a widely used procedure in signal processing, computer vision, image and video processing. Recently, methods using Walsh Hadamard Transform (WHT) and Gray-Code kernels (GCK) are successfully applie... 详细信息
来源: 评论
Autonomous recognition: Driven by ambiguity
Autonomous recognition: Driven by ambiguity
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1966 ieee computer society conference on computer vision and pattern recognition
作者: Callari, FG Ferrie, FP MCGILL UNIV CTR INTELLIGENT MACHINESMONTREALPQ H3X 2A7CANADA
recognition ambiguity, due to noisy measurements and uncertain object models, can be quantified and actively used by an autonomous agent to efficiently gather new data and improve its information about the environment... 详细信息
来源: 评论
Dealing with occlusions in the eigenspace approach
Dealing with occlusions in the eigenspace approach
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1966 ieee computer society conference on computer vision and pattern recognition
作者: Leonardis, A Bischof, H VIENNA TECH UNIV DEPT PATTERN RECOGNIT & IMAGE PROCA-1040 VIENNAAUSTRIA
The basic limitations of the current appearance-based matching methods using eigenimages are non-robust estimation of coefficients and inability to cope with problems related to occlusions and segmentation. In this pa... 详细信息
来源: 评论
An Extension of Multifactor Analysis for Face recognition Based on Submanifold Learning
An Extension of Multifactor Analysis for Face Recognition Ba...
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23rd ieee conference on computer vision and pattern recognition (cvpr)
作者: Park, Sung Won Savvides, Marios Carnegie Mellon Univ Dept Elect & Comp Engn Pittsburgh PA 15213 USA
Lately, Multilinear Principal Component Analysis (MPCA) has been successfully applied to face recognition since MPCA provides analysis of multiple factors of face images such as people's identities, viewpoints, an... 详细信息
来源: 评论