Proceedings ArticleDOI
Image understanding and graph matching
O. Faugeras
- Vol. 7, pp 1162-1165
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TLDR
It is shown that one of the key problems in Image Understanding is the matching of two symbolic structures, a model and the result of a segmentation and a formalism is presented which can deal with the inexact or fuzzy matching of such structures in a highly parallel fashion.Abstract:
We show that one of the key problems in Image Understanding is the matching of two symbolic structures, a model and the result of a segmentation. These symbolic structures are conveniently represented as labeled graphs and we present on two examples a formalism which can deal with the inexact or fuzzy matching of such structures in a highly parallel fashion.read more
Citations
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Journal ArticleDOI
Fuzzy-attribute graph with application to Chinese character recognition
Kwok-Ping Chan,Y.S. Cheung +1 more
TL;DR: The result of applying the model to the recognition of handprinted Chinese characters is presented, and a measure for matching two FAGs is suggested that has its interpretation in fuzzy logic.
Journal ArticleDOI
Recognition of Polyhedra from Range Data
Brian A. Boyter,Jake K. Aggarwal +1 more
TL;DR: The ultimate goal of machine/computer vision system based on planar-faced objects using range data emresearch is to develop and engineer machines ploying a modified version of the Hough transform on a with the ability to sense, understand, and act VAX 11/780.
Journal ArticleDOI
Correction to "Fuzzy-attribute graph with application to Chinese character recognition"
Kwok-Ping Chan,Y.S. Cheung +1 more
TL;DR: F fuzzy-attribute graph is formally defines and a new measure for matching two FAG's is suggested and the model is applied to the recognition of handprinted Chinese characters and the result is presented.
Proceedings ArticleDOI
Image understanding using fuzzy isomorphism of fuzzy structures
Christophe Demko,El-hadi Zahzah +1 more
TL;DR: A system architecture able to classify objects into models that is represented by 2D color image and segmented into semantically annotated regions and obtains a semantic graph representing the image.
References
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Scene Labeling by Relaxation Operations
TL;DR: This paper formulates the ambiguity-reduction process in terms of iterated parallel operations (i.e., relaxation operations) performed on an array of object, identification data.
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Linear feature extraction and description
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TL;DR: In this paper, a technique of edge detection and line finding for linear feature extraction is described, where edge detection is by convolution with small edge-like masks, and the resulting output is thinned and linked by using edge positions and orientations and approximated by piecewise linear segments.
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Picture segmentation using a recursive region splitting method
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Improving Consistency and Reducing Ambiguity in Stochastic Labeling: An Optimization Approach
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TL;DR: A projected gradient algorithm is developed to minimize the criterion and it is shown that the minimization procedure can be implemented in a highly parallel manner.