3-D shape recovery using distributed aspect matching
Dickinson, S.J.
Pentland, A.P.
Rosenfeld, A.
Comput. Vision Lab., Maryland Univ., College Park, MD;
This paper appears in: Pattern Analysis and Machine Intelligence, IEEE Transactions on
Publication Date: Feb 1992
Volume: 14,
Issue: 2
On page(s): 174-198
ISSN: 0162-8828
References Cited: 60
CODEN: ITPIDJ
INSPEC Accession Number: 4139384
Digital Object Identifier: 10.1109/34.121788
Current Version Published: 2002-08-06
Abstract
An approach to the recovery of 3-D volumetric primitives from a
single 2-D image is presented. The approach first takes a set of 3-D
volumetric modeling primitives and generates a hierarchical aspect
representation based on the projected surfaces of the primitives;
conditional probabilities capture the ambiguity of mappings between
levels of the hierarchy. From a region segmentation of the input image,
the authors present a formulation of the recovery problem based on the
grouping of the regions into aspects. No domain-independent heuristics
are used; only the probabilities inherent in the aspect hierarchy are
exploited. Once the aspects are recovered, the aspect hierarchy is used
to infer a set of volumetric primitives and their connectivity. As a
front end to an object recognition system, the approach provides the
indexing power of complex 3-D object-centered primitives while
exploiting the convenience of 2-D viewer-centered aspect matching;
aspects are used to represent a finite vocabulary of 3-D parts from
which objects can be constructed
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