Segmentation of the needle map of objects with curved surfaces

doi:10.1016/0167-8655(89)90085-8

Pattern Recognition Letters

Volume 10, Issue 3, September 1989, Pages 181-187

https://doi.org/10.1016/0167-8655(89)90085-8 Get rights and content

Abstract

A segmentation algorithm in the surface normal domain is presented, which operates directly on a needle map. Results are shown for images containing 3-D solid objects with planar and curved surfaces.

References (10)

G. Coray
Order independence in local clustering algorithms
Computer Graphics and Image Processing
(1975)
C. Brice et al.
Scene analysis using regions
Artificial Intelligence
(1970)
H. Tamura
Design and implementation of SPIDER — a transportable image processing software package
Computer Graphics and Image Processing
(1983)
K. Ikeuchi
Recognition of 3-D objects using the Extended Gaussian Image
C. Dane et al.
Three-dimensional segmentation using the Gaussian image and spatial information

There are more references available in the full text version of this article.

Cited by (1)

Recognition of overlapping objects using interpretation tree search and egi matching
1990, Proceedings of SPIE - The International Society for Optical Engineering

View full text

Segmentation of the needle map of objects with curved surfaces

Abstract

Computer Graphics and Image Processing

Artificial Intelligence

Computer Graphics and Image Processing

Recognition of 3-D objects using the Extended Gaussian Image

Three-dimensional segmentation using the Gaussian image and spatial information