Title :
Depth-based segmentation
Author :
François, Edouard ; Chupeau, Bertrand
Author_Institution :
Thomson Multimedia R&D, Cesson-Sevigne, France
fDate :
2/1/1997 12:00:00 AM
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;
Journal_Title :
Circuits and Systems for Video Technology, IEEE Transactions on
