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Publication
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| Research Title |
P-PCC: Parallel Pearson Correlation Condition for Robust Cosmetic Makeup Face Recognitions |
| Date of Distribution |
26 February 2015 |
| Conference |
| Title of the Conference |
6th International Conference on Information Science and Applications (ICISA2015) |
| Organiser |
Korea Industry Security Forum, Institute for Creative and Advanced Technologies / Korea Information Assurance Society, Kyonggi University |
| Conference Place |
Holiday Inn Hotel, Pattaya |
| Province/State |
Pattaya, Thailand |
| Conference Date |
24 February 2015 |
| To |
26 February 2015 |
| Proceeding Paper |
| Volume |
339 |
| Issue |
Part III |
| Page |
259-266 |
| Editors/edition/publisher |
Kuinam J. Kim |
| Abstract |
The performance of face recognition has been improved over the past; however, there remain some limitations, especially with noises and defects, such as occlusion, face pose, expression, and, in particular, cosmetic makeup change. Recently, the makeup has directly impacted on face characteristics, e.g., face shape, texture, and color, perhaps leading to low classification precision. Thus, this research proposes a robust approach to enhance the recognition accuracy for the makeup using Pearson Correlation (PC) combining with the channel selection (PCC). To further optimize the complexity, the parallelism of PCC was then investigated. This technique demonstrates the practicality and proficiency by outperforming the accuracy and computational time over a traditional PCA and PC. |
| Author |
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| Peer Review Status |
มีผู้ประเมินอิสระ |
| Level of Conference |
นานาชาติ |
| Type of Proceeding |
Full paper |
| Type of Presentation |
Oral |
| Part of thesis |
true |
| Presentation awarding |
false |
| Attach file |
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| Citation |
0
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Journal Publication
ไทย