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research
Super-resolution of faces using texture mapping on a generic 3D model
Authors
A Ilan
A Ilan
+6 more
D Givoli
N Saffari
R Clayton
R Stacey
RG Keys
RL Higdon
Publication date
1 January 1996
Publisher
United States
Doi
Cite
Abstract
This paper proposes a novel face texture mapping framework to transform faces with different poses into a unique texture map. Under this framework, texture mapping can be realized by utilizing a generic 3D face model, standard Haar-like feature based detector, active appearance model and pose estimation algorithm. By this texture map, correspondence of every pixel at the face across multiple distinct input images can then be established, which enables super-resolution algorithms to be applied directly on registered texture map to render high resolution faces. This paper details the proposed framework, and illustrates how the proposed super-resolution algorithm works with the help of weighted average and median filters. Convincing experimental results are also presented to validate the effectiveness of the proposed framework and superresolution algorithm. © 2009 IEEE.published_or_final_versio
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HKU Scholars Hub
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oai:hub.hku.hk:10722/93216
Last time updated on 01/06/2016
Crossref
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info:doi/10.1007%2F978-1-4613-...
Last time updated on 01/04/2019
Digital Repository @ Iowa State University (ISU)
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oai:dr.lib.iastate.edu:20.500....
Last time updated on 11/01/2024