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» Learning 3D Appearance Models from Video
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ICIP
2005
IEEE
14 years 10 months ago
Time-evolving 3D model representation for scalable video coding
This paper presents an efficient and scalable coding scheme for transmitting a stream of 3D models extracted from a video of a static scene. As in classical model-based video codi...
Luce Morin, Patrick Gioia, Raphaèle Balter
ECCV
2006
Springer
14 years 10 months ago
A Learning Based Approach for 3D Segmentation and Colon Detagging
Abstract. Foreground and background segmentation is a typical problem in computer vision and medical imaging. In this paper, we propose a new learning based approach for 3D segment...
Zhuowen Tu, Xiang Zhou, Dorin Comaniciu, Luca Bogo...
CVPR
2004
IEEE
14 years 10 months ago
3D Models Coding and Morphing for Efficient Video Compression
This paper presents new results in the field of video coding and compression using 3D information. Contrary to prior art in 3D model-based coding where 3D models have to be known,...
Franck Galpin, Koichiro Deguchi, Luce Morin, Rapha...
ICCV
2007
IEEE
14 years 10 months ago
Learning 3-D Scene Structure from a Single Still Image
We consider the problem of estimating detailed 3-d structure from a single still image of an unstructured environment. Our goal is to create 3-d models which are both quantitative...
Ashutosh Saxena, Min Sun, Andrew Y. Ng
ICMCS
2007
IEEE
406views Multimedia» more  ICMCS 2007»
14 years 3 months ago
3D Haar-Like Features for Pedestrian Detection
One basic observation for pedestrian detection in video sequences is that both appearance and motion information are important to model the moving people. Based on this observatio...
Xinyi Cui, Yazhou Liu, Shiguang Shan, Xilin Chen, ...