NDLI: Multi-view Object Segmentation in Space and Time

Content Provider	IEEE Xplore Digital Library
Author	Djelouah, A. Franco, J.-S. Boyer, E. Le Clerc, F. Perez, P.
Copyright Year	2013
Description	Author affiliation: LJK - INRIA Rhone-Alpes, Grenoble, France (Djelouah, A.; Franco, J.-S.; Boyer, E.) \|\| Technicolor, Cesson Sevigne, France (Le Clerc, F.; Perez, P.)
Abstract	In this paper, we address the problem of object segmentation in multiple views or videos when two or more viewpoints of the same scene are available. We propose a new approach that propagates segmentation coherence information in both space and time, hence allowing evidences in one image to be shared over the complete set. To this aim the segmentation is cast as a single efficient labeling problem over space and time with graph cuts. In contrast to most existing multi-view segmentation methods that rely on some form of dense reconstruction, ours only requires a sparse 3D sampling to propagate information between viewpoints. The approach is thoroughly evaluated on standard multi-view datasets, as well as on videos. With static views, results compete with state of the art methods but they are achieved with significantly fewer viewpoints. With multiple videos, we report results that demonstrate the benefit of segmentation propagation through temporal cues.
Sponsorship	IEEE Comput. Soc.
Starting Page	2640
Ending Page	2647
File Size	665531
Page Count	8
File Format	PDF
ISBN	9781479928408
ISSN	15505499
DOI	10.1109/ICCV.2013.328
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-12-01
Publisher Place	Australia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Three-dimensional displays Image segmentation Labeling Image color analysis Videos Computational modeling Histograms multi-view segmentation segmentation
Content Type	Text
Resource Type	Article
Subject	Computer Vision and Pattern Recognition Software

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