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Proceedings Paper

Differential geometric techniques for invariant feature set representation
Author(s): Scott D. Brown; Richard L. Tutwiler
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Paper Abstract

The analysis of simple elliptical image structures is accomplished by casting the image as a 3D surface so that the mathematics of surface analysis can be explained. Segmentation is performed by computing surface characteristics using differential geometry and classifying image regions based on local surface measures. The segmented image regions are classified by fitting a generalized conic section to the region boundary. A least squares method minimizes the total error between the segmented image and the ideal conic. Further image manipulations force this conic to be an ellipse for this application. The image analysis paradigm is tested with bubble images where each bubble region is assumed to have an elliptical shape.

Paper Details

Date Published: 30 September 1996
PDF: 12 pages
Proc. SPIE 2826, Vision Geometry V, (30 September 1996); doi: 10.1117/12.251789
Show Author Affiliations
Scott D. Brown, The Pennsylvania State Univ. (United States)
Richard L. Tutwiler, The Pennsylvania State Univ. (United States)

Published in SPIE Proceedings Vol. 2826:
Vision Geometry V
Robert A. Melter; Angela Y. Wu; Longin Jan Latecki, Editor(s)

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