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3-D object recognition from shadow shape curves
Author(s)
Pansang, Seri
Kimpan, Chom
Date Issued
December 1, 2000
Type
Conference Paper
Abstract
The 3-D object recognition can be normally done by collecting 2-D projections taken at various angles viewing, which requires a large size of the database. In this paper we present the 3-D object-recognizing approach by analyzing the shadow shape curve of 2-D from horizontally 360° viewing angles, projections which depends on typical characters of objects. The process starts from shooting the subject with the light source behind the subject or a subject with a light background while the subject is being turned around in various viewing angles. The process is independent on the size of the shadow shape curves or position of the subject taken. This process shows the shadow shape curves which are then converted to patterns of slope scores and later matched with the standard slope score patterns in database. By comparing the sequent aspects of the figure members in the slope patterns with the standard ones, this process can recognize 3-D objects better than 92 percent of accuracy.
Citation
IEEE Asia Pacific Conference on Circuits and Systems Proceedings, 437-440, 2000