Depth-based segmentation
- 1 January 1997
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Circuits and Systems for Video Technology
- Vol. 7 (1) , 237-240
- https://doi.org/10.1109/76.554436
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 discussedKeywords
This publication has 2 references indexed in Scilit:
- Coding algorithm with region-based motion compensationIEEE Transactions on Circuits and Systems for Video Technology, 1997
- Motion segmentation and qualitative dynamic scene analysis from an image sequenceInternational Journal of Computer Vision, 1993