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检索条件"任意字段=2011 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2011"
21179 条 记 录,以下是111-120 订阅
排序:
Object recognition using invariant profiles
Object recognition using invariant profiles
收藏 引用
1997 ieee computer Society conference on computer vision and pattern recognition (cvpr 97)
作者: Slater, D Healey, G Univ of California Irvine United States
We derive a sensitivity analysis for moment invariants of multidimensional distributions, These invariants have many uses in computational systems and have recently been used for illumination-invariant recognition in ... 详细信息
来源: 评论
Learning to Select Base Classes for Few-shot Classification
Learning to Select Base Classes for Few-shot Classification
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ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Zhou, Linjun Cui, Peng Jia, Xu Yang, Shiqiang Tian, Qi Tsinghua Univ Beijing Peoples R China Huawei Technol Noahs Ark Lab Shenzhen Peoples R China
Few-shot learning has attracted intensive research attention in recent years. Many methods have been proposed to generalize a model learned from provided base classes to novel classes, but no previous work studies how... 详细信息
来源: 评论
Projective registration with difference decomposition
Projective registration with difference decomposition
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1997 ieee computer Society conference on computer vision and pattern recognition (cvpr 97)
作者: Gleicher, M Apple Research Lab Cupertino United States
Current methods for registering image regions perform well for simple transformations or large image regions. In this paper, we present a new method that is better able to handle small image regions as they deform wit... 详细信息
来源: 评论
Color-based tracking of heads and other mobile objects at video frame rates
Color-based tracking of heads and other mobile objects at vi...
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1997 ieee computer Society conference on computer vision and pattern recognition (cvpr 97)
作者: Fieguth, P Terzopoulos, D Univ of Waterloo Waterloo Canada
We develop a simple and very fast method for object tracking based exclusively on color information in digitized video images. Running on a Silicon Graphics R4600 Indy system with an IndyCam, our algorithm is capable ... 详细信息
来源: 评论
Novel view synthesis in tensor space
Novel view synthesis in tensor space
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1997 ieee computer Society conference on computer vision and pattern recognition (cvpr 97)
作者: Avidan, S Shashua, A Hebrew Univ Jerusalem Israel
We present a new method for synthesizing novel views of a 3D scene from few model images in full correspondence. The core of this work is the derivation of a tensorial operator that describes the transformation from) ... 详细信息
来源: 评论
Sparsity-based Image Denoising via Dictionary Learning and Structural Clustering
Sparsity-based Image Denoising via Dictionary Learning and S...
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ieee conference on computer vision and pattern recognition (cvpr)
作者: Dong, Weisheng Li, Xin Zhang, Lei Shi, Guangming Xidian Univ Xian Peoples R China West Virginia Univ Morgantown WV 26506 USA Hong Kong Polytech Univ Hong Kong Peoples R China
Where does the sparsity in image signals come from? Local and nonlocal image models have supplied complementary views toward the regularity in natural images the former attempts to construct or learn a dictionary of b... 详细信息
来源: 评论
Introduction to the Special Section of cvpr 2017
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ieee TRANSACTIONS ON pattern ANALYSIS AND MACHINE INTELLIGENCE 2022年 第12期44卷 8702-8703页
作者: Liu, Yanxi Rehg, James M. Taylor, Camillo J. Wu, Ying Penn State Univ Sch EECS State Coll PA 16801 USA Georgia Inst Technol Sch Interact Comp Atlanta GA 30332 USA Univ Penn Comp & Informat Sci Dept State Coll PA 16801 USA Northwestern Univ Elect Engn & Comp Sci Dept Evanston IL 60208 USA
The papers in this special section were presented at the computer vision and pattern recognition conference.
来源: 评论
Stereo vision for view synthesis
Stereo vision for view synthesis
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1966 ieee computer Society conference on computer vision and pattern recognition
作者: Scharstein, D CORNELL UNIV DEPT COMP SCIITHACANY 14853
We propose a new method for view synthesis from real images using stereo vision. The method does not explicitly model scene geometry, and enables fast and exact generation of synthetic views. We also reevaluate the re... 详细信息
来源: 评论
Are textureless scenes recoverable?
Are textureless scenes recoverable?
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1997 ieee computer Society conference on computer vision and pattern recognition (cvpr 97)
作者: Sundaram, H Nayar, S Columbia Univ New York United States
It is widely accepted that textureless surfaces cannot be recovered using passive sensing techniques. The problem is approached by viewing image formation as a Sully three-dimensional mapping. It is shown that the len... 详细信息
来源: 评论
Probabilistic Graphlet Cut: Exploiting Spatial Structure Cue for Weakly Supervised Image Segmentation
Probabilistic Graphlet Cut: Exploiting Spatial Structure Cue...
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26th ieee conference on computer vision and pattern recognition (cvpr)
作者: Zhang, Luming Song, Mingli Liu, Zicheng Liu, Xiao Bu, Jiajun Chen, Chun Zhejiang Univ Coll Comp Sci Hangzhou 310003 Zhejiang Peoples R China Microsoft Res Redmond WA USA
Weakly supervised image segmentation is a challenging problem in computer vision field. In this paper, we present a new weakly supervised image segmentation algorithm by learning the distribution of spatially structur... 详细信息
来源: 评论