Robotics and Computer Vision Lab

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저 자 Jinsun Park, Yu-Wing Tai, Donghyeon Cho, In So Kweon
학 회 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
Notes This work was supported by the Technology Innovation Program (No. 2017-10069072) funded by the Ministry of Trade, Industry & Energy (MOTIE, Korea).
논문일시(Year) 2017
논문일시(Month) 07
In this paper, we introduce robust and synergetic hand-crafted features and a simple but efficient deep feature from a convolutional neural network (CNN) architecture for defocus estimation. This paper systematically analyzes the effectiveness of different features, and shows how each feature can compensate for weaknesses of other features when they are concatenated. For a full defocus map estimation, we extract image patches on strong edges sparsely, then we use them for the deep and hand-crafted features extraction. In order to reduce patch scale dependency, we also propose multi-scale patch extraction strategy. A sparse defocus map is generated using a neural network classifier followed by a probability-joint bilateral filter. The final defocus map is obtained from the sparse defocus map with a guidance of an edge preserving filtered input image. Experimental results show that our algorithm is superior to state-of-the-art algorithms in defocus estimation. Our work can be used for applications including segmentation, blur magnification, all-in-focus image generation, and 3-D estimation.

List of Articles
» A Unified Approach of Multi-scale Deep and Hand-crafted Features for Defocus Estimation
Jinsun Park, Yu-Wing Tai, Donghyeon Cho, In So Kweon
IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2017 / 07
277. Deep Representation of Industrial Components using Simulated Images
Seong-Heum Kim, Gyeongmin Choe, Byungtae Ahn, In So Kweon
IEEE International Conference on Robotics and Automation (ICRA) 2017 / 05
276. Single Image Depth Estimation using Convolutional Neural Networks with NCC-based Loss
Jinsun Park, In So Kweon
International Workshop on Frontiers of Computer Vision (FCV) 2017 / 02
275. Robust Road Marking Detection and Recognition Using Density-Based Grouping and Machine Learning Techniques
Oleksandr Bailo, Seokju Lee, Francois Rameau, Jae Shin Yoon, In So Kweon
Winter Conference of Applications on Computer Vision (WACV) 2017 / 03
274. Control strategies for a humanoid robot to drive and then egress a utility vehicle for remote approach
Hyobin Jeong, Jaesung Oh, Mingeuk Kim, Kyungdon Joo, In So Kweon, Jun-Ho Oh
IEEE-RAS 15th International Conference on Humanoid Robots (Humanoids) 2015 / 11
273. A Real-time Vehicular Vision System to Seamlessly See-through Cars
Francois Rameau, Hyowon Ha, Kyungdon Joo, Jinsoo Choi, In So Kweon
European Conference on Computer Vision Workshops (ECCVW - ACVR) 2016 / 10
272. A Real-time Augmented Reality System to See-Through Cars
Francois Rameau, Hyowon Ha, Kyungdon Joo, Jinsoo Choi, Kibaek Park, In So Kweon
IEEE International Symposium on Mixed and Augmented Reality (ISMAR) 2016 / 09
271. Pixel-Level Domain Transfer
Donggeun Yoo, Namil Kim, Sunggyun Park, Anthony S. Paek, In So Kweon
European Conference on Computer Vision (ECCV) 2016 / 10
270. A Pseudo-Bayesian Algorithm for Robust PCA
Tae-Hyun Oh, Yasuyuki Matsushita, In So Kweon, David Wipf
Neural Information Processing Systems (NIPS) 2016 / 12
269. Natural Image Matting using Deep Convolutional Neural Networks
Donghyeon Cho, Yu-Wing Tai, In So Kweon
European Conference on Computer Vision (ECCV), 2016 2016 / 10
268. Photometric Stereo under Non-uniform Light Intensities and Exposures
Donghyeon Cho, Yasuyuki Matsushita, Yu-Wing Tai, In So Kweon
European Conference on Computer Vision (ECCV), 2016 2016 / 10
267. Fine-scale Surface Normal Estimation using a Single NIR Image
Youngjin Yoon, Gyeongmin Choe, Namil Kim, Joon-Young Lee, In So Kweon
European Conference on Computer Vision (ECCV) , October 2016 2016 / 10
266. All-around Depth from Small Motion with A Spherical Panoramic Camera
Sunghoon Im, Hyowon Ha, Francois Rameau, Hae-Gon Jeon, Gyeongmin Choe, In So Kweon
European Conference on Computer Vision (ECCV) 2016 / 10
265. Human Body Part Classification from Optical Flow
Junsik Kim, Kyungdon Joo, Tae-Hyun Oh, In So Kweon
The International Conference on Ubiquitous Robots and Ambient Intelligence (URAI) 2016 / 08
264. Asymmetric Stereo with Catadioptric Lens: High Quality Image Generation for Intelligent Robot
Donghyeon Cho, Jinsun Park, Yu-Wing Tai, In So Kweon
The International Conference on Ubiquitous Robots and Ambient Intelligence (URAI) 2016 / 08
263. Sentence Learning on Deep Convolutional Networks for Image Caption Generation
Dong-Jin Kim, Donggeun Yoo, Bonggeun Sim, In So Kweon
The International Conference on Ubiquitous Robots and Ambient Intelligence (URAI) 2016 / 08
262. EureCar Turbo: a Self-Driving Car that can Handle Adverse Weather Conditions
Unghui Lee, Jiwon Jung, Seunghak Shin, Yongseop Jeong, Kibaek Park, David Hyunchul Shim, In So Kweon
The International Conference of Intelligent Robots and Systems (IROS) 2016 / 10
261. Object Proposal Using 3D Point Cloud for DRC-HUBO+
Seunghak Shin, Inwook Shim, Jiyoung Jung, Yunsu Bok, Jun-Ho Oh, In So Kweon
The International Conference of Intelligent Robots and Systems (IROS) 2016 / 10
260. Fast Multiple Objects Detection and Tracking Fusing Color Camera and 3D LIDAR for Intelligent Vehicles
Soonmin Hwang, Namil Kim, Yukyung Choi, Seokju Lee, In So Kweon
The International Conference on Ubiquitous Robots and Ambient Intelligence (URAI) 2016 / 08
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259. Thermal Image Enhancement using Convolution Neural Network
Yukyung Choi, Namil Kim, Soonmin Hwang, In So Kweon
The International Conference of Intelligent Robots and Systems (IROS) 2016 / 10
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