Range estimation via multidimensional segmentation

Author

Parker, Brian

Author_Institution

Biomed. & Multimedia Inf. Technol. Group, Sydney Univ., NSW, Australia

Volume

1

fYear

2003

fDate

14-17 Sept. 2003

Abstract

A new graph-theoretic algorithm for stereo range estimation, utilizing a Mumford-Shah variational, multidimensional segmentation of a 3D or 4D spatio-(temporal)-parallax space to implicitly solve the stereo correspondence problem, is described. Initial results and comparison with an area correlation range estimation algorithm demonstrate that it is capable of producing very accurate boundary demarcation including alpha coverage information, suggesting its applicability to foreground/background separation and range keying applications.

Keywords

image reconstruction; image segmentation; object detection; object recognition; spatiotemporal phenomena; stereo image processing; Mumford-Shah variational segmentation; alpha coverage information; area correlation range estimation; foreground-background separation; multidimensional segmentation; range keying application; spatio-temporal-parallax space; stereo range estimation; Australia; Cameras; Image segmentation; Information technology; Iterative algorithms; Multidimensional systems; Object recognition; Optical distortion; Space technology; Stereo image processing;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing, 2003. ICIP 2003. Proceedings. 2003 International Conference on

ISSN

1522-4880

Print_ISBN

0-7803-7750-8

Type

conf

DOI

10.1109/ICIP.2003.1247132

Filename

1247132