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Sparse representation for pose invariant face recognition

Zhi Chen ; Department of Electronic and Information Engineering, Taizhou Polytechnic College, Taizhou, Jiangsu Province, CHINA
Wei Shen ; Department of Electronic and Information Engineering, Taizhou Polytechnic College, Taizhou, Jiangsu Province, CHINA
Yumin Zeng ; School of physical science and technology, Nanjing Normal University, Nanjing, Jiangsu Province, CHINA

Puni tekst: engleski, pdf (3 MB) str. 37-47 preuzimanja: 113* citiraj
APA 6th Edition
Chen, Z., Shen, W. i Zeng, Y. (2017). Sparse representation for pose invariant face recognition. International Journal for Engineering Modelling, 30 (1-4), 37-47. Preuzeto s https://hrcak.srce.hr/201724
MLA 8th Edition
Chen, Zhi, et al. "Sparse representation for pose invariant face recognition." International Journal for Engineering Modelling, vol. 30, br. 1-4, 2017, str. 37-47. https://hrcak.srce.hr/201724. Citirano 28.07.2021.
Chicago 17th Edition
Chen, Zhi, Wei Shen i Yumin Zeng. "Sparse representation for pose invariant face recognition." International Journal for Engineering Modelling 30, br. 1-4 (2017): 37-47. https://hrcak.srce.hr/201724
Harvard
Chen, Z., Shen, W., i Zeng, Y. (2017). 'Sparse representation for pose invariant face recognition', International Journal for Engineering Modelling, 30(1-4), str. 37-47. Preuzeto s: https://hrcak.srce.hr/201724 (Datum pristupa: 28.07.2021.)
Vancouver
Chen Z, Shen W, Zeng Y. Sparse representation for pose invariant face recognition. International Journal for Engineering Modelling [Internet]. 2017 [pristupljeno 28.07.2021.];30(1-4):37-47. Dostupno na: https://hrcak.srce.hr/201724
IEEE
Z. Chen, W. Shen i Y. Zeng, "Sparse representation for pose invariant face recognition", International Journal for Engineering Modelling, vol.30, br. 1-4, str. 37-47, 2017. [Online]. Dostupno na: https://hrcak.srce.hr/201724. [Citirano: 28.07.2021.]

Sažetak
Face recognition is easily affected by pose angle. In order to improve the obustness to pose angle, we need to solve the pose estimation, face synthesis and recognition problem. Sparse representation can represent a face image with linear combination of atom faces. In this paper, we construct different pose dictionaries using face images captured under the same pose angle to estimate pose angle and synthesize front face images for recognition. Experimental results show that sparse representation can estimate pose angle accurately, synthesize near frontal faces very well and significantly improve the recognition rate for large pose angles.

Ključne riječi
face pose estimation; sparse representation; face synthesis; face recognition

Hrčak ID: 201724

URI
https://hrcak.srce.hr/201724

Posjeta: 239 *