Robotics and Computer Vision Lab

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저 자 Tae-Hyun Oh, Hyeongwoo Kim, Yu-Wing Tai, Jean-Charles Bazin, In So Kweon
학 회 IEEE International Conference on Computer Vision (ICCV)
Notes Ack: NCRC, This work was supported by the National Research Foundation of Korea(NRF) grant funded by the Korea government( MEST) (No. 2010-0028680).
논문일시(Year) 2013
논문일시(Month) 12
Project Page at http://thoh.kaist.ac.kr

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.


[BibTex]

@inproceedings{thoh:iccv13,
author = {Tae-Hyun Oh and Hyeongwoo Kim and Yu-Wing Tai and Jean-Charles Bazin and In So Kweon },
title = {Partial Sum Minimization of Singular Values in {RPCA} for Low-Level Vision},
booktitle = {{IEEE} International Conference on Computer Vision (ICCV)},
year = {2013},
}

List of Articles
224. Accurate Depth Map Estimation from a Lenslet Light Field Camera
Hae-Gon Jeon, Jaesik Park, Gyeongmin Choe, Jinsun Park, Yunsu Bok, Yu-Wing Tai, In So Kweon
IEEE International Conference on Computer Vision and Pattern Recognition (CVPR) 2015 / 06
223. Fast Randomized Singular Value Thresholding for Nuclear Norm Minimization
Tae-Hyun Oh, Yasuyuki Matsushita, Yu-Wing Tai, In So Kweon
IEEE International Conference on Computer Vision and Pattern Recognition (CVPR) 2015 / 06
222. Multispectral Pedestrian Detection: Benchmark Dataset and Baselines
Soonmin Hwang, Jaesik Park, Namil Kim, Yukyung Choi, In So Kweon
IEEE International Conference on Computer Vision and Pattern Recognition (CVPR) 2015 / 06
221. Specular Reflection Separation Using Dark Channel Prior
Hyeongwoo Kim, Hailin Jin, Sunil Hadap, In So Kweon
IEEE International Conference on Computer Vision and Pattern Recognition (CVPR) 2013 / 06
220. Hybrid vision-based SLAM coupled with moving object tracking
Jihong Min, Jungho Kim, Hyeongwoo Kim, Kiho Kwak, In So Kweon
International Conference on Robotics & Automation (ICRA) 2014 / 05
219. A Two Phase Approach for Pedestrian Detection
Soonmin Hwang, Tae-Hyun Oh, In So Kweon
The 12th Asian Conference on Computer Vision Workshops (ACCV Workshops) 2014 / 11
218. Robust Binary Feature Using Intensity Order
Yukyung Choi, Chaehoon Park, Joon-Young Lee, In So Kweon
The 12th Asian Conference on Computer Vision (ACCV) 2014 / 11
217. Accelerated kmeans Clustering using Binary Random Projection
Yukyung Choi, Chaehoon Park, In So Kweon
The 12th Asian Conference on Computer Vision (ACCV) 2014 / 11
216. Real-time Head Orientation from a Monocular Camera using Deep Neural Network
Byungtae Ahn, Jaesik Park, In So Kweon
The 12th Asian Conference on Computer Vision (ACCV) 2014 / 11
215. Motion Deblurring using Coded Exposure for a Wheeled Mobile Robot
Kibaek Park, Seunghak Shin, Hae-Gon Jeon, Joon-Young Lee, In So Kweon
The 11th International Conference on Ubiquitous Robots and Ambient Intelligence (URAI) 2014 / 11
214. RGBD Sensor and Mirrors: a Practical Setup for 3D Reconstruction of Dynamic Objects
Min-Hyun Kim, Jaesik Park, In So Kweon
The 11th International Conference on Ubiquitous Robots and Ambient Intelligence (URAI) 2014 / 11
213. A Simple and Real-Time Moving Object Detection Invariant to Cast Shadow
Tae-Hyun Oh, In So Kweon
The 11th International Conference on Ubiquitous Robots and Ambient Intelligence (URAI) 2014 / 11
212. A Fusion Approach for Robust Visual Object Tracking in Crowd Scenes
Tae-Hyun Oh, Kyungdon Joo, Junsik Kim, Jaesik Park, In So Kweon
The 11th International Conference on Ubiquitous Robots and Ambient Intelligence (URAI) 2014 / 11
211. Geometric Calibration of Micro-Lens-Based Light-Field Cameras using Line Features
Yunsu Bok, Hae-Gon Jeon, In So Kweon
European Conference on Computer Vision (ECCV) 2014 / 09
210. Extrinsic Calibration of 2D Laser Sensors
Dong-Geol Choi, Yunsu Bok, Jun-sik Kim, In So Kweon
International Conference on Robotics & Automation (ICRA) 2014 / 05
209. Extrinsic Calibration of Non-overlapping Camera-Laser System using Structured Environment
Yunsu Bok, Dong-Geol Choi, Pascal Vasseur, In So Kweon
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2014 / 09
208. GMM-based Saliency Aggregation for Calibration-free Gaze Estimation
Jinsoo Choi, Byungtae Ahn, Jaesik Park, In So Kweon
International Conference on Image Processing (ICIP) 2014 / 10
207. Cost-Aware Depth Map Estimation for Lytro Camera
Min Jung Kim, Tae-Hyun Oh, In So Kweon
International Conference on Image Processing (ICIP) 2014 / 10
206. Balanced Optical Flow Refinement by Bidirectional Constraint
Jongwon Choi, Hyeongwoo Kim, Tae-Hyun Oh, In So Kweon
International Conference on Image Processing (ICIP) 2014 / 10
205. Auto-adjusting Camera Exposure for Outdoor Robotics using Gradient Information
Inwook Shim, Joon-Young Lee, In So Kweon
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2014 / 09
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