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Proceedings Paper

Complex Moment As Features For Object Recognition Using Tactile Image Sensor
Author(s): Ren C. Luo; Horng-Hai Loh
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Paper Abstract

Complex moments have been considered as useful features for object recognition in general. In this paper, the usefulness of applying the complex moment features into the tactile image for object recognition has been explored. Some complex moment invariants have been derived and implementation of those features has been conducted. With those moment invariants, we can elimiate the effect of lateral displacement and rotation from the tactile images. Through the generation of a decision tree and the utilization of the complex moment features, the shape of the objects from the tactile sensor can easily be recognized.

Paper Details

Date Published: 27 March 1987
PDF: 7 pages
Proc. SPIE 0726, Intelligent Robots and Computer Vision V, (27 March 1987); doi: 10.1117/12.937744
Show Author Affiliations
Ren C. Luo, North Carolina State University (United States)
Horng-Hai Loh, North Carolina State University (United States)


Published in SPIE Proceedings Vol. 0726:
Intelligent Robots and Computer Vision V
David P. Casasent, Editor(s)

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