DocumentCode :
3405760
Title :
Split and merge approach for detecting multiple planes in a depth image
Author :
Seon-Min Rhee ; Yong-Beom Lee ; Kim, J.D.K. ; Taehyun Rhee
Author_Institution :
Samsung Adv. Inst. of Technol. (SAIT), South Korea
fYear :
2012
fDate :
Sept. 30 2012-Oct. 3 2012
Firstpage :
1213
Lastpage :
1216
Abstract :
We propose a novel method for detecting multiple planar structures in a scene from a depth image, and estimating their parametric models in real time. To realize this goal we split an entire depth image into small patches. Initially, we assume that all patches are on the planar structure and estimate their parametric models using least square fitting. We select patches where our assumption is valid and the selected planar patches are iteratively merged and refined in case that they are in the same planar structure. The qualitative and quantitative experiments shows that the proposed method has clear benefits in terms of accuracy and processing time.
Keywords :
curve fitting; image processing; iterative methods; least squares approximations; natural scenes; depth image scene; image iterative merging approach; image spliting approach; least square fitting; multiple planar structure detection; parametric model estimation; planar patch selection; qualitative analysis; quantitative analysis; Accuracy; Computational modeling; Estimation; Least squares approximation; Noise; Real-time systems; Robot sensing systems; model estimation; plane detection; scene understanding;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing (ICIP), 2012 19th IEEE International Conference on
Conference_Location :
Orlando, FL
ISSN :
1522-4880
Print_ISBN :
978-1-4673-2534-9
Electronic_ISBN :
1522-4880
Type :
conf
DOI :
10.1109/ICIP.2012.6467084
Filename :
6467084
Link To Document :
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