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dc.contributor.authorHung, Chi Fung
dc.date.accessioned2006-01-20T06:34:10Z
dc.date.accessioned2017-09-19T08:50:36Z
dc.date.accessioned2019-02-12T06:54:16Z-
dc.date.available2006-01-20T06:34:10Z
dc.date.available2017-09-19T08:50:36Z
dc.date.available2019-02-12T06:54:16Z-
dc.date.issued2003
dc.identifier.other2003cshcf664
dc.identifier.urihttp://144.214.8.231/handle/2031/545-
dc.description.abstractPattern recognition is a fundamental problem. With large number of 3D models available on the web, and the application of 3D object models in computer graphics, computer vision and molecular biology, an effective way to search the 3D model are important. Recent year, different 3D object model search engine is available. They are based on different algorithms. In this project, I will use the features generated by different algorithms to do the similarity search. Neural network and different classifier were used to classify the objects. I also propose a new method to do normalization and features generation which provide an alternative to the existing methods.
dc.format.extent164 bytes
dc.format.mimetypetext/html
dc.rightsThis work is protected by copyright. Reproduction or distribution of the work in any format is prohibited without written permission of the copyright owner.
dc.rightsAccess is restricted to CityU users.
dc.title3D object model retrievalen
dc.contributor.departmentDepartment of Computer Scienceen
dc.description.supervisorDr. Rynson Lau. First Reader: Dr. Helena Wong. Second Reader: Prof. Horace Ip
Appears in Collections:Computer Science - Undergraduate Final Year Projects 

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