Multi-layer surface segmentation using energy minimization

S. Madarasmi, D. Kersten, T. C. Pong

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Scopus citations

Abstract

We propose a multi-layer, `depth planes' approach to image segmentation where pixels that 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: 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 non-visible parts of the scene. The disjoint surfaces due to occlusion or transparency are also grouped together if they form a smooth surface.

Original languageEnglish (US)
Title of host publicationIEEE Computer Vision and Pattern Recognition
Editors Anon
PublisherPubl by IEEE
Pages774-775
Number of pages2
ISBN (Print)0818638826
StatePublished - Dec 1 1993
EventProceedings of the 1993 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - New York, NY, USA
Duration: Jun 15 1993Jun 18 1993

Publication series

NameIEEE Computer Vision and Pattern Recognition

Other

OtherProceedings of the 1993 IEEE Computer Society Conference on Computer Vision and Pattern Recognition
CityNew York, NY, USA
Period6/15/936/18/93

Fingerprint Dive into the research topics of 'Multi-layer surface segmentation using energy minimization'. Together they form a unique fingerprint.

Cite this