Effective use of SIMD parallelism in low- and intermediate-level vision

Author

Narayanan, P.J. ; Chen, Ling Tony ; Davis, Larry S.

Author_Institution

Computer Vision Lab., Maryland Univ., College Park, MD, USA

Volume

25

Issue

2

fYear

1992

Firstpage

68

Lastpage

73

Abstract

The authors consider two examples from image understanding-focus-of-attention vision and contour image analysis-and present new parallel-processing methods that effectively support these types of computations. The research is a blend of theory and practice. On the one hand, the aim is to develop algorithms whose properties are well understood and can be formally related to key aspects of machine models. On the other hand, it is desired that the algorithms be easy to implement and practical in terms of their actual processing times on existing parallel machines. The experimental research was conducted on a 16384-processor Connection Machine CM2, and results of algorithm implementations on that machine are presented.<>

Keywords

computer vision; computerised picture processing; parallel algorithms; parallel machines; parallel programming; Connection Machine CM2; algorithm implementations; contour image analysis; focus-of-attention vision; image understanding; machine models; parallel machines; parallel-processing methods; processing times; Computer vision; Concurrent computing; Focusing; Image analysis; Image edge detection; Image motion analysis; Machine vision; Parallel machines; Pixel; Solid modeling;

fLanguage

English

Journal_Title

Computer

Publisher

ieee

ISSN

0018-9162

Type

jour

DOI

10.1109/2.121477

Filename

121477