Paper
27 March 1987 Complex Moment As Features For Object Recognition Using Tactile Image Sensor
Ren C. Luo, Horng-Hai Loh
Author Affiliations +
Proceedings Volume 0726, Intelligent Robots and Computer Vision V; (1987) https://doi.org/10.1117/12.937744
Event: Cambridge Symposium_Intelligent Robotics Systems, 1986, Cambridge, MA, United States
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.
© (1987) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ren C. Luo and Horng-Hai Loh "Complex Moment As Features For Object Recognition Using Tactile Image Sensor", Proc. SPIE 0726, Intelligent Robots and Computer Vision V, (27 March 1987); https://doi.org/10.1117/12.937744
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Cited by 1 scholarly publication.
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KEYWORDS
Image sensors

Robot vision

Object recognition

Sensors

Computer vision technology

Machine vision

Image compression

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