Structured face hallucination

Chih Yuan Yang, Sifei Liu, Ming Hsuan Yang

研究成果: 期刊稿件會議文章同行評審

131 引文 斯高帕斯(Scopus)

摘要

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.

原文英語
文章編號6618990
頁(從 - 到)1099-1106
頁數8
期刊Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
DOIs
出版狀態已出版 - 2013
對外發佈
事件26th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2013 - Portland, OR, 美國
持續時間: 23 06 201328 06 2013

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