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Please use this identifier to cite or link to this item:
http://hdl.handle.net/123456789/10134
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| 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) |
| 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: | Mohd Yusoff Mashor, Prof. Dr.
Publications
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