3D face recognition using multiple features for local depth information
In this paper, we recognized multiple features from the local depth information of distance and angle calculation. These features are calculated from the twelve salient points by considering the distance and angle calculation. Then, fifty three non-independent features are extracted and the discr...
| Main Authors: | , |
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| Format: | Article |
| Language: | English English |
| Published: |
2009
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| Subjects: | |
| Online Access: | http://psasir.upm.edu.my/id/eprint/12637/1/3D%20face%20recognition%20using%20multiple%20features%20for%20local%20depth%20information.pdf |
| _version_ | 1825945082371506176 |
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| author | Khalid, Fatimah N. A., Lili |
| author_facet | Khalid, Fatimah N. A., Lili |
| author_sort | Khalid, Fatimah |
| collection | UPM |
| description | In this paper, we recognized multiple features from the local
depth information of distance and angle calculation. These
features are calculated from the twelve salient points by
considering the distance and angle calculation. Then, fifty three non-independent features are extracted and the discriminating power is used for analyzing these features. The result shows an improvement compared to the previous work |
| first_indexed | 2024-03-06T07:25:58Z |
| format | Article |
| id | upm.eprints-12637 |
| institution | Universiti Putra Malaysia |
| language | English English |
| last_indexed | 2024-03-06T07:25:58Z |
| publishDate | 2009 |
| record_format | dspace |
| spelling | upm.eprints-126372015-09-28T01:02:05Z http://psasir.upm.edu.my/id/eprint/12637/ 3D face recognition using multiple features for local depth information Khalid, Fatimah N. A., Lili In this paper, we recognized multiple features from the local depth information of distance and angle calculation. These features are calculated from the twelve salient points by considering the distance and angle calculation. Then, fifty three non-independent features are extracted and the discriminating power is used for analyzing these features. The result shows an improvement compared to the previous work 2009-01 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/12637/1/3D%20face%20recognition%20using%20multiple%20features%20for%20local%20depth%20information.pdf Khalid, Fatimah and N. A., Lili (2009) 3D face recognition using multiple features for local depth information. IJCSNS International Journal of Computer Science and Network Security, 9 (1). pp. 27-32. Human face recognition (Computer science) Face perception - Computer simulation English |
| spellingShingle | Human face recognition (Computer science) Face perception - Computer simulation Khalid, Fatimah N. A., Lili 3D face recognition using multiple features for local depth information |
| title | 3D face recognition using multiple features for local depth information |
| title_full | 3D face recognition using multiple features for local depth information |
| title_fullStr | 3D face recognition using multiple features for local depth information |
| title_full_unstemmed | 3D face recognition using multiple features for local depth information |
| title_short | 3D face recognition using multiple features for local depth information |
| title_sort | 3d face recognition using multiple features for local depth information |
| topic | Human face recognition (Computer science) Face perception - Computer simulation |
| url | http://psasir.upm.edu.my/id/eprint/12637/1/3D%20face%20recognition%20using%20multiple%20features%20for%20local%20depth%20information.pdf |
| work_keys_str_mv | AT khalidfatimah 3dfacerecognitionusingmultiplefeaturesforlocaldepthinformation AT nalili 3dfacerecognitionusingmultiplefeaturesforlocaldepthinformation |