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
Automatic contour segmentation for object analysis
D.C.D. Hung,I.R. Chen +1 more
- 10 Nov 1991
TL;DR: The problem of distinguishing shapes from a compound contour, which is formed by overlapping more than one distinct object, is considered and the algorithm exploits the fact that planar shapes can be completely described by contour segments, and that they can be decomposed at their maximum concavity into simpler objects.
Object Recognition Based On Indexing In 2D Environment
S.K. Bose,K.X. Biswas,S. K. Gupta +2 more
- 28 Aug 1991
TL;DR: The paper shows how the symmetry of the object can be exploited to reduce the model data storage and to speed up the matching process, and the proposed algorithm is also able to identify a partially occluded object in cluttered environment.
Comparing Cell Images Segmentation Methods for Diagnostic Pathology
T. Zalizam T. Muda,Rosalina Abdul Salam +1 more
- 01 Feb 2008
TL;DR: Segmentation of images is the most critical part and yet complicated process in quantitative cytophotometry in cell Imagery.
A method for subpart decomposition for overlapped object identification
T. Damergi,Dan Ionescu +1 more
- 14 Sep 1993
TL;DR: A special technique of decomposing objects in subparts is used for building object models as lists of above subparts by applying a decomposition algorithm on the edge representation of the object subject to identification.
On the recognition of articulated objects: (generalizing the generalized Hough transform)
Haim J. Wolfson
- 02 Jan 1992
TL;DR: A new method for model based recognition of articulated objects in cluttered scenes is presented, based on an extension of the Generalized Hough transform paradigm, that is applicable to various viewing transformations in 2-D from 2D and 3- D from 3-D recognition situations.
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