TY - JOUR
T1 - Structured face hallucination
AU - Yang, Chih Yuan
AU - Liu, Sifei
AU - Yang, Ming Hsuan
PY - 2013
Y1 - 2013
N2 - The goal of face hallucination is to generate high-resolution images with fidelity from low-resolution ones. In contrast to existing methods based on patch similarity or holistic constraints in the image space, we propose to exploit local image structures for face hallucination. Each face image is represented in terms of facial components, contours and smooth regions. The image structure is maintained via matching gradients in the reconstructed high-resolution output. For facial components, we align input images to generate accurate exemplars and transfer the high-frequency details for preserving structural consistency. For contours, we learn statistical priors to generate salient structures in the high-resolution images. A patch matching method is utilized on the smooth regions where the image gradients are preserved. Experimental results demonstrate that the proposed algorithm generates hallucinated face images with favorable quality and adaptability.
AB - The goal of face hallucination is to generate high-resolution images with fidelity from low-resolution ones. In contrast to existing methods based on patch similarity or holistic constraints in the image space, we propose to exploit local image structures for face hallucination. Each face image is represented in terms of facial components, contours and smooth regions. The image structure is maintained via matching gradients in the reconstructed high-resolution output. For facial components, we align input images to generate accurate exemplars and transfer the high-frequency details for preserving structural consistency. For contours, we learn statistical priors to generate salient structures in the high-resolution images. A patch matching method is utilized on the smooth regions where the image gradients are preserved. Experimental results demonstrate that the proposed algorithm generates hallucinated face images with favorable quality and adaptability.
KW - structured face hallucination landmarks localizatio
UR - http://www.scopus.com/inward/record.url?scp=84887392129&partnerID=8YFLogxK
U2 - 10.1109/CVPR.2013.146
DO - 10.1109/CVPR.2013.146
M3 - 会议文章
AN - SCOPUS:84887392129
SN - 1063-6919
SP - 1099
EP - 1106
JO - Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
JF - Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
M1 - 6618990
T2 - 26th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2013
Y2 - 23 June 2013 through 28 June 2013
ER -