Abstract
This paper decribes a technique for scene interpretation within a continuously operating active vision system, based on the use of a vocabulary of perceptual grouping procedures for detection and labeling of objects. We propose a taxonomy of complex features composed of edge lines, describe the algorithms to construct each type of grouping from simple edge lines, and analyse the complexity of this computation. To reduce the size of input data for complex groupings we introduce chaining of grouping operations.
This work was sponsored by the CEC ESPRIT Basic Research office as part of Project 3038 “Vision as Process.
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© 1993 Springer-Verlag Berlin Heidelberg
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Zoppis, B., Calvary, G., Crowley, J.L. (1993). Perceptual grouping for scene interpretation in an active vision system. In: Laugier, C. (eds) Geometric Reasoning for Perception and Action. GRPA 1991. Lecture Notes in Computer Science, vol 708. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-57132-9_11
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DOI: https://doi.org/10.1007/3-540-57132-9_11
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