NDLI: Simultaneous multi-body stereo and segmentation

Content Provider	IEEE Xplore Digital Library
Author	Guofeng Zhang Jiaya Jia Hujun Bao
Copyright Year	2011
Description	Author affiliation: State Key Lab of CAD&CG, Zhejiang University, China (Guofeng Zhang; Hujun Bao) \|\| The Chinese University of Hong Kong, China (Jiaya Jia)
Abstract	This paper presents a novel multi-body multi-view stereo method to simultaneously recover dense depth maps and perform segmentation with the input of a monocular image sequence. Unlike traditional multi-view stereo approaches that generally handle a single static scene or an object, we show that depth estimation and segmentation can be jointly modeled and be globally solved in an energy minimization framework for ubiquitous scenes containing multiple independently moving rigid objects. Our major contribution includes a new multi-body stereo model, which integrates the color, geometry, and layer constraints for spatio-temporal depth recovery and automatic object segmentation. A two-pass optimization scheme is proposed to progressively update the estimates. Our method is applied to a variety of challenging examples.
Starting Page	826
Ending Page	833
File Size	5853325
Page Count	8
File Format	PDF
ISBN	9781457711015
ISSN	15505499
e-ISBN	9781457711022
DOI	10.1109/ICCV.2011.6126322
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-11-06
Publisher Place	Spain
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Motion segmentation Three dimensional displays Labeling Cameras Geometry Stereo vision Estimation
Content Type	Text
Resource Type	Article
Subject	Computer Vision and Pattern Recognition Software

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