Abstract
The viewpoint consistency constraint (VCC) provides a powerful way to discover extended feature groups and to test hypotheses in object recognition. Lowe’s incremental method fails in complex scenes, and an exhaustive tree search (eg Grimson &Lozano-Perez) is too expensive. We present a state space approach in which transitions are made which monotonically ascend a measure of viewpoint consistency.
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© 1991 Springer-Verlag London Limited
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Du, L., Sullivan, G.D., Baker, K.D. (1991). 3D Grouping by Viewpoint Consistency Ascent. In: Mowforth, P. (eds) BMVC91. Springer, London. https://doi.org/10.1007/978-1-4471-1921-0_7
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DOI: https://doi.org/10.1007/978-1-4471-1921-0_7
Publisher Name: Springer, London
Print ISBN: 978-3-540-19715-7
Online ISBN: 978-1-4471-1921-0
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