Early vision processing using a multi-stage diffusion process

Author

Yacoob, Yaser ; Davis, Larry

Author_Institution

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

fYear

1993

fDate

15-17 Jun 1993

Firstpage

41

Lastpage

46

Abstract

The use of a multistage diffusion process in the early processing of range data is examined. The input range data are interpreted as occupying a volume in 3-D space. Each diffusion stage simulates the process of diffusing part of the boundary of the volume into the volume. The outcome of the process can be used for both discontinuity detection and segmentation into shape homogeneous regions. The process is applied to synthetic noise-free and noisy step, roof, and valley edges as well as to real range images

Keywords

image segmentation; 3-D space; discontinuity detection; early vision processing; multistage diffusion process; noise-free edges; noisy edges; roof edges; segmentation; shape homogeneous regions; step edges; valley edges; Computational modeling; Computer vision; Diffusion processes; Educational institutions; Image edge detection; Image segmentation; Laboratories; Noise shaping; Performance analysis; Shape;

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.1993.341003

Filename

341003