DocumentCode :
2241332
Title :
Multi-layer surface segmentation using energy minimization
Author :
Madarasmi, S. ; Kersten, D. ; Pong, T.C.
Author_Institution :
Univ. of Minnesota, Minneapolis, MN, USA
fYear :
1993
fDate :
15-17 Jun 1993
Firstpage :
774
Lastpage :
775
Abstract :
A multilayer, depth planes approach to image segmentation is proposed, where pixels may have arisen from a single smooth surface in the scene are represented in a common layer. Two types of output are produced at each pixel, i.e., a layer number and a vector of depth values, one value for each layer. The layer assignment performs image partitioning based on surface properties. The depth value assignment for each layer either represents the input data with the noise removed or interpolates between data values to fill-in nonvisible parts of the scene. The disjoint surfaces due to occlusion or transparency are also grouped together if they form a smooth surface
Keywords :
image segmentation; interpolation; minimisation; depth planes approach; depth value assignment; disjoint surfaces; energy minimization; image partitioning; image segmentation; interpolation; layer assignment; multilayer surface segmentation; occlusion; transparency; Additive noise; Bayesian methods; Computer science; Contracts; Gaussian noise; Image edge detection; Image segmentation; Layout; Nonhomogeneous media; Pixel; Psychology;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Vision and Pattern Recognition, 1993. Proceedings CVPR '93., 1993 IEEE Computer Society Conference on
Conference_Location :
New York, NY
ISSN :
1063-6919
Print_ISBN :
0-8186-3880-X
Type :
conf
DOI :
10.1109/CVPR.1993.341169
Filename :
341169
Link To Document :
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