Abstract
This paper describes and demonstrates a view-independent relational model (VIRM) in a vision system designed for recognising a known 3D object from single monochromatic images. The aim is to derive a model of an object able to effect recognition without invoking pose information. The system inspects a CAD model of the object from a number of different viewpoints to identify relatively view-independent relationships among component parts of the object. These relations are represented in the form of a hypergraph. The VIRM can be searched using a best-first technique to obtain hypotheses of vehicle poses which match image features.
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© 1992 Springer-Verlag Berlin Heidelberg
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Zhang, S., Sullivan, G.D., Baker, K.D. (1992). Using automatically constructed view-independent relational model in 3D object recognition. In: Sandini, G. (eds) Computer Vision — ECCV'92. ECCV 1992. Lecture Notes in Computer Science, vol 588. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-55426-2_88
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DOI: https://doi.org/10.1007/3-540-55426-2_88
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