2013 IEEE International Conference on Computer Vision最新文献

SUN3D: A Database of Big Spaces Reconstructed Using SfM and Object Labels SUN3D:基于SfM和目标标签的大空间重构数据库

2013 IEEE International Conference on Computer Vision Pub Date : 2013-12-01 DOI: 10.1109/ICCV.2013.458

Jianxiong Xiao, Andrew Owens, A. Torralba

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引用次数: 684

Detecting Curved Symmetric Parts Using a Deformable Disc Model 利用可变形圆盘模型检测弯曲对称零件

2013 IEEE International Conference on Computer Vision Pub Date : 2013-12-01 DOI: 10.1109/ICCV.2013.220

T. S. Lee, S. Fidler, Sven J. Dickinson

引用次数: 42

Query-Adaptive Asymmetrical Dissimilarities for Visual Object Retrieval 面向视觉对象检索的查询自适应不对称不相似性

2013 IEEE International Conference on Computer Vision Pub Date : 2013-12-01 DOI: 10.1109/ICCV.2013.214

Cai-Zhi Zhu, H. Jégou, S. Satoh

引用次数: 59

A General Dense Image Matching Framework Combining Direct and Feature-Based Costs 结合直接代价和特征代价的通用密集图像匹配框架

2013 IEEE International Conference on Computer Vision Pub Date : 2013-12-01 DOI: 10.1109/ICCV.2013.30

Jim Braux-Zin, R. Dupont, A. Bartoli

引用次数: 56

Nested Shape Descriptors 嵌套形状描述符

2013 IEEE International Conference on Computer Vision Pub Date : 2013-12-01 DOI: 10.1109/ICCV.2013.152

J. Byrne, Jianbo Shi

引用次数: 16

Partial Sum Minimization of Singular Values in RPCA for Low-Level Vision 基于低层次视觉的RPCA奇异值部分和最小化算法

2013 IEEE International Conference on Computer Vision Pub Date : 2013-12-01 DOI: 10.1109/ICCV.2013.25

Tae-Hyun Oh, Hyeongwoo Kim, Yu-Wing Tai, J. Bazin, In-So Kweon

{"title":"Partial Sum Minimization of Singular Values in RPCA for Low-Level Vision","authors":"Tae-Hyun Oh, Hyeongwoo Kim, Yu-Wing Tai, J. Bazin, In-So Kweon","doi":"10.1109/ICCV.2013.25","DOIUrl":"https://doi.org/10.1109/ICCV.2013.25","url":null,"abstract":"Robust Principal Component Analysis (RPCA) via rank minimization is a powerful tool for recovering underlying low-rank structure of clean data corrupted with sparse noise/outliers. In many low-level vision problems, not only it is known that the underlying structure of clean data is low-rank, but the exact rank of clean data is also known. Yet, when applying conventional rank minimization for those problems, the objective function is formulated in a way that does not fully utilize a priori target rank information about the problems. This observation motivates us to investigate whether there is a better alternative solution when using rank minimization. In this paper, instead of minimizing the nuclear norm, we propose to minimize the partial sum of singular values. The proposed objective function implicitly encourages the target rank constraint in rank minimization. Our experimental analyses show that our approach performs better than conventional rank minimization when the number of samples is deficient, while the solutions obtained by the two approaches are almost identical when the number of samples is more than sufficient. We apply our approach to various low-level vision problems, e.g. high dynamic range imaging, photometric stereo and image alignment, and show that our results outperform those obtained by the conventional nuclear norm rank minimization method.","PeriodicalId":6351,"journal":{"name":"2013 IEEE International Conference on Computer Vision","volume":"35 1","pages":"145-152"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75121871","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 69

Multi-view Object Segmentation in Space and Time 空间和时间的多视图目标分割

2013 IEEE International Conference on Computer Vision Pub Date : 2013-12-01 DOI: 10.1109/ICCV.2013.328

Abdelaziz Djelouah, Jean-Sébastien Franco, Edmond Boyer, F. Clerc, P. Pérez

引用次数: 36

PM-Huber: PatchMatch with Huber Regularization for Stereo Matching PM-Huber:用Huber正则化进行立体匹配的PatchMatch

2013 IEEE International Conference on Computer Vision Pub Date : 2013-12-01 DOI: 10.1109/ICCV.2013.293

Philipp Heise, S. Klose, B. Jensen, Alois Knoll

引用次数: 160

Dynamic Probabilistic Volumetric Models 动态概率体积模型

2013 IEEE International Conference on Computer Vision Pub Date : 2013-12-01 DOI: 10.1109/ICCV.2013.68

Ali O. Ulusoy, O. Biris, J. Mundy

引用次数: 19

A Generalized Low-Rank Appearance Model for Spatio-temporally Correlated Rain Streaks 时空相关雨条的广义低阶出现模式

2013 IEEE International Conference on Computer Vision Pub Date : 2013-12-01 DOI: 10.1109/ICCV.2013.247

Yi-Lei Chen, Chiou-Ting Hsu

引用次数: 364