Robotics and Computer Vision Lab

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저 자 Gyeongmin Choe, Srinivasa G. Narasimhan, In So Kweon
학 회 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) [Spotlight]
Notes This research was supported by ONR Grant N00014-14-1-0595, NSF NRI grant IIS-1317749 and the Ministry of Trade, Industry & Energy and the Korea Evaluation Institute of Industrial Technology (KEIT) with the program number of 10060110.
논문일시(Year) 2016
논문일시(Month) 06
http://rcv.kaist.ac.kr/gmchoe/Project/NISAR/Near-Infrared (NIR) images of most materials exhibit less texture or albedo variations making them beneficial for vision tasks such as intrinsic image decomposition and structured light depth estimation. Understanding the reflectance properties (BRDF) of materials in the NIR wavelength range can be further useful for many photometric methods including shape from shading and inverse rendering. However, even with less albedo variation, many materials e.g. fabrics, leaves, etc. exhibit complex fine-scale surface detail making it hard to accurately estimate BRDF. In this paper, we present an approach to simultaneously estimate NIR BRDF and fine-scale surface details by imaging materials under different IR lighting and viewing directions. This is achieved by a novel iterative scheme that alternately estimates surface detail and NIR BRDF until convergence. Our setup does not require complicated gantries or calibration and we present the first NIR dataset of 100 materials including a variety of fabrics (knits, weaves, cotton, satin, leather), and organic (skin, leaves, jute, trunk, fur) and inorganic materials (plastic, concrete, carpet). The NIR BRDFs measured from material samples are used with a shape-from-shading algorithm to demonstrate fine-scale reconstruction of objects from a single NIR image.

List of Articles
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
258. Thermal-Infrared based Drivable Region Detection
Jae Shin Yoon, Kibaek Park, Soonmin Hwang, Namil Kim, Yukyung Choi, Francois Rameau, In So Kweon
IEEE Intelligent Vehicles Symposium (IV) 2016 / 06
257. Vision system and depth processing for DRC-HUBO+
Inwook Shim, Seunghak Shin, Yunsu Bok, Kyungdon Joo, Dong-Geol Choi, Joon-Young Lee, Jaesik Park, Jun-Ho Oh, In So Kweon
IEEE International Conference on Robotics and Automation(ICRA) 2016 / 05
256. Efficient and Robust Color Consistency for Community Photo Collections
Jaesik Park, Yu-Wing Tai, Sudipta N. Sinha, In So Kweon
IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2016 / 06
255. Globally Optimal Manhattan Frame Estimation in Real-time
Kyungdon Joo, Tae-Hyun Oh, Junsik Kim, In So Kweon
IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2016 / 06
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