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Please use this identifier to cite or link to this item: http://dspace.unimap.edu.my:80/dspace/handle/123456789/10134

Title: 3D object recognition: Views, moment invariants & perceptron networks
Authors: Mohd Yusof, Mashor, Prof. Dr.
M. K., Osman
R., Arshad
Keywords: Explore -- Penerbitan universiti;UniMAP -- Publications;UniMAP -- Research and development;3D objects;Recognition system
Issue Date: Aug-2007
Publisher: Universiti Malaysia Perlis (UniMAP)
???metadata.dc.publisher.department???: Pejabat Timbalan Naib Canselor (Penyelidikan dan Inovasi)
Citation: p.8-9
Series/Report no.: Explore
August 2007
Abstract: Computer vision recognition typically involves sensors, a model database containing information about the object representations and decision making or categorization. Sensors gather images that are processed to represent it as the database models and a recognition algorithm is applied to find the model to which the object best matches, known as model-based object recognition system.
URI: http://hdl.handle.net/123456789/10134
ISSN: 1823-9633
Appears in Collections:Publications
Mohd Yusoff Mashor, Prof. Dr.

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