Robotics and Computer Vision Lab

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저 자 Sunghoon Im, Hyowon Ha, Francois Rameau, Hae-Gon Jeon, Gyeongmin Choe, In So Kweon
학 회 European Conference on Computer Vision (ECCV)
Notes This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIP) (No.2010-0028680). Sunghoon Im and Hae-Gon Jeon were partially supported by Global PH.D Fellowship Program through the National Research Foundation of Korea(NRF) funded by the Ministry of Education (NRF-2016907531, NRF-2015034617).
논문일시(Year) 2016
논문일시(Month) 10
With the growing use of head-mounted displays for virtual reality (VR), generating 3D contents for these devices becomes an important topic in computer vision. For capturing full 360 degree panoramas in a single shot, the Spherical Panoramic Camera (SPC) are gaining in popularity. However, estimating depth from a SPC remains a challenging problem. In this paper, we propose a practical method that generates all-around dense depth map using a narrow-baseline video clip captured by a SPC. While existing methods for depth from small motion rely on perspective cameras, we introduce a new bundle adjustment approach tailored for SPC that minimizes the re-projection error directly on the unit sphere. It enables to estimate approximate metric camera poses and 3D points. Additionally, we present a novel dense matching method called sphere sweeping algorithm. This allows us to take advantage of the overlapping regions between the cameras. To validate the effectiveness of the proposed method, we evaluate our approach on both synthetic and real-world data. As an example of the applications, we also present stereoscopic panorama images generated from our depth results.

List of Articles
286. VPGNet: Vanishing Point Guided Network for Lane and Road Marking Detection and Recognition
Seokju Lee, Junsik Kim, Jae Shin Yoon, Seunghak Shin, Oleksandr Bailo, Namil Kim, Tae-Hee Lee, Hyun Seok Hong, Seung-Hoon Han, In So Kweon
IEEE International Conference on Computer Vision (ICCV) 2017 / 10
285. Two-Phase Learning for Weakly Supervised Object Localization
Dahun Kim, Donghyeon Cho, Donggeun Yoo, In So Kweon
IEEE International Conference on Computer Vision (ICCV) 2017 / 10
284. Weakly- and Self- Supervised Learning for Content-Aware Deep Image Retargeting
Donghyeon Cho, Jinsun Park, Tae-Hyun Oh, Yu-Wing Tai, In So Kweon
IEEE International Conference on Computer Vision (ICCV) 2017 / 10
283. Deltille Grids for Geometric Camera Calibration
Hyowon Ha, Michal Perdoch, Hatem Alismail, In So Kweon, Yaser Sheikh
IEEE International Conference on Computer Vision (ICCV) 2017 / 10
282. Personalized Cinemagraphs using Semantic Understanding and Collaborative Learning
Tae-Hyun Oh, Kyungdon Joo, Neel Joshi, Baoyuan Wang, In So Kweon, Sing Bing Kang
IEEE International Conference on Computer Vision (ICCV) 2017 / 10
281. Noise Robust Depth From Focus Using a Ring Difference Filter
Jaeheung Surh, Hae-Gon Jeon, Yunwon Park, Sunghoon Im, Hyowon Ha, In So Kweon
IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2017 / 07
280. Pixel-Level Matching for Video Object Segmentation using Convolutional Neural Networks
Jae Shin Yoon, Francois Rameau, Junsik Kim, Seokju Lee, Seunghak Shin, In So Kweon
IEEE International Conference on Computer Vision (ICCV) 2017 / 10
279. A Real-Time and Energy-Efficient Embedded System for Intelligent ADAS with RNN-Based Deep Risk Prediction using Stereo Camera
Kyuho Lee, Gyeongmin Choe, Kyeongryeol Bong, Changhyeon Kim, In So Kweon, Hoi-Jun Yoo
International Conference on Computer Vision Systems (ICVS) 2017 / 07
278. 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
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