Proceedings Article10.1109/CCECE.1993.332462
A method for subpart decomposition for overlapped object identification
T. Damergi,Dan Ionescu +1 more
- 14 Sep 1993
- pp 991-994
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.
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Abstract: A number of computer vision systems have been devised to deal with overlapped object identification. Objects can be considered as built by subparts. A special technique of decomposing objects in subparts is used for building object models as lists of above subparts. The subparts are obtained by applying a decomposition algorithm on the edge representation of the object subject to identification. Examples are used to illustrate the approach. >
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References
HYPER: A New Approach for the Recognition and Positioning of Two-Dimensional Objects
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TL;DR: The method has been integrated within a vision system coupled to an indutrial robot arm, to provide automatic picking and repositioning of partially overlapping industrial parts to provide strong robustness to partial occlusions.
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Recognising and Locating Partially Visible Objects: The Local-Feature-Focus Method
Robert C. Bolles,Ronald A. Cain +1 more
TL;DR: In this paper, a new method of locating partially visible two-dimensional objects is presented, which is applicable to complex industrial parts that may contain several occurrences of local features, such as holes and corners.
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Recognizing Partially Occluded Parts
TL;DR: An efficient template matching algorithm using templates weighted by boundary segment saliency is presented and employed to recognize partially occluded parts and illustrates the effectiveness of the new technique.
Decomposition of Polygons into Simpler Components: Feature Generation for Syntactic Pattern Recognition
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TL;DR: A technique for decomposition of polygons into simpler components is described and illustrated with applications in the analysis of handwritten Chinese characters and chromosomes.
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Recognizing partially visible objects using feature indexed hypotheses
TL;DR: A new recognition method, the feature indexed hypotheses method, is described, which takes advantage of the similarities and differences between object types, and is able to handle cases, where there are a large number of possible objecttypes, in sub-linear computation time.
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