DocumentCode
438832
Title
An extended ICM algorithm for range image segmentation
Author
Wang, Xiao ; Wang, Han
Author_Institution
Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore
Volume
1
fYear
2004
fDate
6-9 Dec. 2004
Firstpage
98
Abstract
We model the range image segmentation problem in the framework of Bayes inference and Markov random field. Thereafter an extended ICM algorithm is presented in this paper. We introduce another estimation (surface parameter set A) into the basic ICM algorithm and also propose to use edge-based segmentation as the initial state for subsequent energy minimizing procedure. Theoretical and experimental analysis of convergence is given. We have shown that in this way a little computation brings forth a high-quality segmentation.
Keywords
Bayes methods; Markov processes; image segmentation; robot vision; Bayes inference; Markov random field; edge-based segmentation; iterated conditional modes; range image segmentation; Computer vision; Convergence; Costs; Distance measurement; Image edge detection; Image segmentation; Inference algorithms; Layout; Partitioning algorithms; Robot vision systems;
fLanguage
English
Publisher
ieee
Conference_Titel
Control, Automation, Robotics and Vision Conference, 2004. ICARCV 2004 8th
Print_ISBN
0-7803-8653-1
Type
conf
DOI
10.1109/ICARCV.2004.1468805
Filename
1468805
Link To Document