Please use this identifier to cite or link to this item:
http://dspace.unimap.edu.my:80/xmlui/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) |
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://dspace.unimap.edu.my/123456789/10134 |
ISSN: | 1823-9633 |
Appears in Collections: | Publications Mohd Yusoff Mashor, Prof. Dr. |
Files in This Item:
File | Description | Size | Format | |
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3D Object Recognition; Views, Moment Invariants & Perceptron Networks.pdf | 260.09 kB | Adobe PDF | View/Open |
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