Abstract
The work presents a methodology contributing to boundary extraction in images of approximate polyhedral objects. We make extensive use of basic principles underlying the process of image formation and thus reduce the role of object-specific knowledge. Simple configurations of line segments are extracted subject to geometric-photometric compatibilities. The perceptual Organization into polygonal arrangements is based on geometric regularity compatibilities under projective transformation. The combination of several compatibilities yields a saliency function for extracting a list of most salient structures. Based on systematic measurements during an experimentation phase the adequacy and degrees of compatibilities are determined. The methodology is demonstrated for technical objects of electrical scrap located in cluttered scenes.
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Pauli, J., Sommer, G. (2000). Compatibilities for Boundary Extraction. In: Sommer, G., Krüger, N., Perwass, C. (eds) Mustererkennung 2000. Informatik aktuell. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-59802-9_59
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DOI: https://doi.org/10.1007/978-3-642-59802-9_59
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-67886-1
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