Orbit and Sinus Classification Based on Force Histogram Computation

In a previous work, we defined a new approach to evaluating directional relations between objects (such as "is to the right of", "is above"...). The approach is based on the computation of a histogram of forces. We show in the present paper that the notion of the histogram of forces can also be useful in pattern recognition. The aim of this study is to classify orbits and sinuses. Using force histograms instead of geometrical criteria (like compactness or degree of ellipticity) allows more accurate classification to be produced. Moreover, the proposed approach is low computing time.

• Type: Conference
• Year: 2000
• Where: ICPR
• Authors: Pascal Matsakis, Laurent Wendling
• Keywords: Computer Vision, Force Histograms, Geometrical Criteria, ICPR 2000, Low Computing Time