10th Scandinavian Conference on Image Analysis,
SCIA 97, Lappeenranta, Finland (June 09-11, 1997)
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The detection and the identification of an object in an image is an extremely complex combinatory problem. The objective of a shape recognition system is to reduce this complexity and make the problem solvable. In this paper, we present a two stage method for features extraction. First we start with a description of the scene using Perceptual Organization techniques. This step extracts a set of salient structures in the image, from a local to gobal level, without prior knowledge of the scene.
We show how this description is more appropriate for the shape extraction level. Along the analysis, increasingly complex features are extracted from this description, organized into a graph of structural relationships, and validated using the original image.
The final description of objects in the image can be used for matching a 3D model with a 2D scene or used to track objects in a sequence.