NDLI: Multi-sensory fusion and model-based recognition of complex objects

Content Provider	IEEE Xplore Digital Library
Author	Devy, M. Boumaza, R.
Copyright Year	1994
Description	Author affiliation: Lab. d'Autom. et d'Anal. des Syst., CNRS, Toulouse, France (Devy, M.; Boumaza, R.)
Abstract	Perception with complementary sensors like a color camera and a laser range finder, make easier the recognition of objects in a 3D scene. This paper copes with the recognition of non-polyhedral objects, described each one by a REV graph and an aspect table, required to afford reasoning about visibility. The authors focus on the relations between segmentation and recognition strategies. A set of segmentation operators, executed by logical sensors, can be requested with respect to the state of the recognition task, in order to extract the more suitable set of features from the sensory data; if needed, the fusion of perceptual data can provide the more accurate estimates of the perceived geometric features. The control module of the recognition task, follows a classical "hypothesize and test" paradigm; this paper concerns only the hypothesis generation and verification, after one acquisition. Recognition strategies could be compiled off line, according to the object and the sensor models. The authors show how such strategies allow one to limit complexity of the segmentation and recognition processes; experimental results on real perceptual data, validate this method.
Starting Page	345
Ending Page	352
File Size	840161
Page Count	8
File Format	PDF
ISBN	0780320727
DOI	10.1109/MFI.1994.398434
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1994-10-02
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Cameras Laser fusion Laser modes Layout Sensor fusion Sensor phenomena and characterization Data mining State estimation Testing Fusion power generation
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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