Super-resolution of faces using the epipolar constraint

Hollander, Richard J. M. den; Lange, Dirk-Jan de; Schutte, Klamer

doi:10.5244/c.21.42

Cited by 2 publications

References 9 publications

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Super-Resolution of Faces Using Texture Mapping on a Generic 3D Model

Yuk

Chow

et al. 2009

2009 Fifth International Conference on Image and Graphics

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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.

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Super-Resolution of Faces Using Texture Mapping on a Generic 3D Model

Yuk

Chow

et al. 2009

2009 Fifth International Conference on Image and Graphics

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Multiframe Super-Resolution Reconstruction of Small Moving Objects

Eekeren

Schutte

Vliet

2010

IEEE Trans. on Image Process.

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Multiframe super-resolution (SR) reconstruction of small moving objects against a cluttered background is difficult for two reasons: a small object consists completely of “mixed” boundary pixels and the background contribution changes from frame-to-frame. We present a solution to this problem that greatly improves recognition of small moving objects under the assumption of a simple linear motion model in the real-world. The presented method not only explicitly models the image acquisition system, but also the space-time variant fore- and background contributions to the “mixed” pixels. The latter is due to a changing local background as a result of the apparent motion. The method simultaneously estimates a subpixel precise polygon boundary as well as a high-resolution (HR) intensity description of a small moving object subject to a modified total variation constraint. Experiments on simulated and real-world data show excellent performance of the proposed multiframe SR reconstruction method.

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Super-resolution of faces using the epipolar constraint

Cited by 2 publications

References 9 publications

Super-Resolution of Faces Using Texture Mapping on a Generic 3D Model

Super-Resolution of Faces Using Texture Mapping on a Generic 3D Model

Multiframe Super-Resolution Reconstruction of Small Moving Objects

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