23rd IEEE Conference on Computer Vision and Pattern Recognition 2010 - San Francisco

Poster Spotlights

author: Jun Sato, Nagoya Institute of Technology
author: Michela Farenzena, University of Verona
author: Arjun Jain, Max Planck Institute for Informatics, Max Planck Institute
author: Guillaume Batog, INRIA - The French National Institute for Research in Computer Science and Control
author: Michael Bleyer, Vienna University of Technology
author: Branislav Micusik, Austrian Institute of Technology
author: Peter Lindstrom, Lawrence Livermore National Laboratory
author: Margarita Chli, Department of Computing, Imperial College London
author: Ricardo Fabbri, School of Engineering, Brown University
author: Shubao Liu, School of Engineering, Brown University
author: Junghyun Kwon, Seoul National University
author: Vivek Pradeep, University of Southern California
author: Tali Bahsa, Tel Aviv University
author: Richard Newcombe, Department of Computing, Imperial College London
author: Yuping Lin, Viterbi School of Engineering, University of Southern California
author: Tai-Pang Wu, The Hong Kong University of Science and Technology
author: Yekeun Jeong, KAIST - Korea Advanced Institute of Science and Technology
author: Xiaoyan Hu, Stevens Institute of Technology
author: Qingxiong Yang, Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign
author: Carl Olsson, Centre for Mathematical Sciences, Lund University
author: Dirk Schnieders, University of Hong Kong
author: Yasutaka Furukawa, Department of Computer Science and Engineering, University of Washington
published: July 19, 2010, recorded: June 2010, views: 697

Slides

Slides
0:00	Towards Internet-scale Multi-view Stereo
0:05	Towards Internet-scale Multi-view Stereo - Abstract
1:20	Reconstruction of Display and Eyes from a Single Image
1:31	Reconstruction of Display and Eyes - Abstract
2:21	Outlier Removal using Duality
2:31	Outlier Removal using Duality - Abstract
3:31	A Constant-Space Belief Propagation Algorithm for Stereo Matching
3:42	A Constant-Space Belief Propagation - Abstract
4:38	Evaluation of Stereo Confidence Indoors and Outdoors
4:47	Evaluation of Stereo Confidence - Abstract
5:58	Pushing the Envelope of Modern Methods
6:08	Pushing the Envelope - Abstract
7:03	Quasi-dense 3D Reconstruction using Tensor-based Multiview Stereo
7:13	Quasi-dense 3D Reconstruction - Abstract
8:33	Accurate 3D Face Reconstruction from Weakly Calibrated Wide Baseline Images with Profile Contours
8:46	Accurate 3D Face Reconstruction - Abstract
10:19	Live Dense Reconstruction with a Single Moving Camera
10:23	Live Dense Reconstruction - Abstract
11:34	Multi-View Scene Flow Estimation: A View Centered Variational Approach
11:43	Multi-View Scene Flow Estimation - Abstract
12:58	Egomotion using Assorted Features
13:08	Egomotion using Assorted Features - Abstract
14:31	Monocular SLAM with Locally Planar Landmarks
14:40	Monocular SLAM - Abstract
15:43	Ray Markov Random Fields for Image-Based 3D Modeling
15:53	Ray Markov Random Fields - Abstract
17:27	3D Curve Sketch: Flexible Curve-Based Stereo Reconstruction and Calibration
17:37	3D Curve Sketch - Abstract
19:02	Scalable Active Matching
19:11	Scalable Active Matching - Abstract
20:23	Triangulation Made Easy
20:31	Triangulation Made Easy - Abstract
21:47	Simultaneous surveillance camera calibration and foot-head homology estimation from human detections
21:55	Simultaneous surveillance camera calibration - Abstract
23:00	Surface Stereo with Soft Segmentation
23:07	Surface Stereo with Soft Segmentation - Abstract
24:15	Admissible Linear Maps Models of Linear Cameras
24:24	Admissible Maps of Linear Cameras - Abstract
25:57	Exploiting Global Connectivity Constraints for Reconstruction of 3D Line Segment from Images
26:06	Exploiting Global Connectivity Constraints - Abstract
27:20	Improving the Efficiency of Hierarchical Structure-and-Motion
27:30	Hierarchical Structure-and-Motion - Abstract
28:57	Multiview Constraints in Frequency Space and Camera Calibration from Unsynchronized Images
29:06	Multiview Constraints in Frequency Space - Abstract

Report a problem or upload files

If you have found a problem with this lecture or would like to send us extra material, articles, exercises, etc., please use our ticket system to describe your request and upload the data.
Enter your e-mail into the 'Cc' field, and we will keep you updated with your request's status.

Lecture popularity: You need to login to cast your vote.