Journal Article10.1109/TPAMI.1987.4767935
Localizing Overlapping Parts by Searching the Interpretation Tree
TL;DR: The approach operates by examining all hypotheses about pairings between sensed data and object surfaces and efficiently discarding inconsistent ones by using local constraints on distances between faces, angles between face normals, and angles of vectors between sensed points.
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Abstract: This paper discusses how local measurements of positions and surface normals may be used to identify and locate overlapping objects. The objects are modeled as polyhedra (or polygons) having up to six degrees of positional freedom relative to the sensors. The approach operates by examining all hypotheses about pairings between sensed data and object surfaces and efficiently discarding inconsistent ones by using local constraints on: distances between faces, angles between face normals, and angles (relative to the surface normals) of vectors between sensed points. The method described here is an extension of a method for recognition and localization of nonoverlapping parts previously described in [18] and [15].
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Citations
Exploiting parallelism in 3D object recognition using the Connection Machine
Suchendra M. Bhandarkar,R. Shankar,M. Suk +2 more
- 12 Apr 1992
TL;DR: Dihedral feature junctions are shown to be fairly robust to occlusion and offer a viewpoint-independent modeling technique for the curved objects under consideration and a considerable saving in terms of storing the object models as compared to the viewpoint-dependent modeling techniques which need to store multiple views of a single object model.
3D Object Recognition and Visualization on the Web
Patrick S. P. Wang
- 23 Oct 2001
TL;DR: A new structural approach using linear combination and fast two-pass parallel matching techniques is presented that solves one of the basic concerns in diffusion tomography complexities, i.e. patterns can be reconstructed through fewer projections, and 3D objects can be recognized by a few learning samples views.
1
Object recognition on the hypercube
Suchendra M. Bhandarkar,L.-C. Sung +1 more
- 13 Oct 1991
TL;DR: The authors present a parallel interpretation tree search algorithm for object recognition using sparse range or tactile data on the Intel iPSC/2 hypercube multicomputer and it has shown that the requirement for uniform load sharing leads to increased inter-processor communication.
1
Genetic Image Interpretation
Milan Sonka
- 01 Jan 2002
TL;DR: Another approach to image interpretation is considered that integrates the segmentation and the object recognition steps into a single image interpretation process, incorporates contextual knowledge, and uses a genetic algorithm technique to produce an optimal image interpretation while utilizing a hypothesize-and-verify control strategy.
1
Registration of partially overlapping images using composite filters
Laurence G. Hassebrook,William J. Chimitt,Jielin Li +2 more
- 31 Mar 2000
TL;DR: In this paper, a sophisticated supervised correlation process that makes use of special composite filter response characteristics to suppress these sidelobes is discussed. But the detection and orientation estimation become independent of the amount, orientation and location of the overlapping regions.
1
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