Fusion of texture and contour based methods for object recognition

  • We propose a new approach to object detection based on data fusion of texture and edge information. A self organizing Kohonen map is used as the coupling element of the different representations. Therefore, an extension of the proposed architecture incorporating other features, even features not derived from vision modules, is straight forward. It simplifies to a redefinition of the local feature vectors and a retraining of the network structure. The resulting hypotheses of object locations generated by the detection process are finally inspected by a neural network classifier based on co-occurence matrices.

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Metadaten
Author:Uwe Handmann, Thomas Kalinke
URN:urn:nbn:de:hbz:1393-opus4-5231
URL:https://ieeexplore.ieee.org/document/660589/authors#authors
Parent Title (English):IEEE Conference on Intelligent Transportation Systems
Place of publication:Boston, USA
Document Type:Conference Proceeding
Language:English
Year of Completion:1997
Release Date:2019/07/09
Pagenumber:5
First Page:876
Last Page:881
Institutes:Fachbereich 1 - Institut Informatik
DDC class:000 Allgemeines, Informatik, Informationswissenschaft / 004 Informatik
Licence (German):License LogoNo Creative Commons