Depth-based segmentation

Author

François, Edouard ; Chupeau, Bertrand

Author_Institution

Thomson Multimedia R&D, Cesson-Sevigne, France

Volume

7

Issue

1

fYear

1997

fDate

2/1/1997 12:00:00 AM

Firstpage

237

Lastpage

240

Abstract

The tool presented in this paper performs an automatic segmentation of stereoscopic image sequences, based on the modeling of distance maps obtained by image processing. Two three-dimensional (3-D) image analysis algorithms are combined: (i) estimation of dense depth maps from stereoscopic image sequences and (ii) depth-based object segmentation. A Markovian statistical approach for such a segmentation of a dense depth map into arbitrarily shaped and oriented planar surfaces is described in detail. The simulation results on sequences “Fun fair” and “Tunnel”, provided on video tape to the MPEG-4 tests of November 1995, are discussed

Keywords

Markov processes; image segmentation; image sequences; statistical analysis; stereo image processing; video coding; 3D image analysis algorithms; MPEG-4 tests; Markovian statistical approach; arbitrarily oriented planar surfaces; arbitrarily shaped planar surfaces; automatic segmentation; dense depth maps estimation; depth based object segmentation; distance maps modeling; image processing; simulation results; stereoscopic image sequences; video sequences; video tape; Grid computing; Image motion analysis; Image processing; Image segmentation; Image sequence analysis; Image sequences; MPEG 4 Standard; Motion estimation; Object segmentation; Testing;

fLanguage

English

Journal_Title

Circuits and Systems for Video Technology, IEEE Transactions on

Publisher

ieee

ISSN

1051-8215

Type

jour

DOI

10.1109/76.554436

Filename

554436