Paper
1 September 1995 Scale space and affine invariant recognition of occluded shapes
Thierry Cohignac, Jean-Michel Morel
Author Affiliations +
Abstract
The recently proved existence of affine invariant scale spaces for shapes opens new possibilities for shape recognition. While affine invariant shape recognition is easily performed when shapes are complete, partially occluded or incomplete shapes must be recognized by dividing them into intrinsic parts. The characteristic point method, for instance, focuses on configurations of points with maximal curvature of the shape (in a euclidian invariant framework). Using the affine invariant scale space, we define affine invariant characteristic points and affine invariant parts of a shape. We prove that compatibility scale relations make feasible the matching of scale spaces and show experiments with noisy affine distorted and occluded shapes.
© (1995) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Thierry Cohignac and Jean-Michel Morel "Scale space and affine invariant recognition of occluded shapes", Proc. SPIE 2567, Investigative and Trial Image Processing, (1 September 1995); https://doi.org/10.1117/12.218476
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Shape analysis

Silicon

Astatine

Cameras

Binary data

Feature extraction

Image segmentation

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