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