Facial parts-based face hallucination method

Authors:
Kaori Kataoka;Shingo Ando;Akira Suzuki;Hideki Koike
Affiliations:
NTT Cyber Space Laboratories, NTT Corporation, Yokosuka-Shi, Kanagawa, Japan;Research and Development Center, Nippon Telegraph and Telephone West Corporation, Osaka, Japan;NTT Cyber Space Laboratories, NTT Corporation, Yokosuka-Shi, Kanagawa, Japan;NTT Cyber Space Laboratories, NTT Corporation, Yokosuka-Shi, Kanagawa, Japan
Venue:
ICISP'10 Proceedings of the 4th international conference on Image and signal processing
Year:
2010

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Abstract

Face hallucination produces high-resolution facial images from low-resolution inputs. In this paper, we propose a facial-parts-based face hallucination method. Since our goal is face recognition rather than face reconstruction, the contour information of facial-parts(such as eyes) is important. This method reconstructs facial parts as entities instead of dividing them into small blocks. We obtain the contours of facial parts by using the Active Appearance Model(AAM), and transform training images based on contours. We confirm that the proposed method significantly enhances face recognition performance.