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Open AccessProceedings ArticleDOI

Facial view synthesis from a single image using shape from shading

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TLDR
In this paper, a facial view synthesis technique based on explicit shape and reflectance information extracted from a single image is presented, which combines an image based reflectance estimation process with a novel method of interpolating between needle-maps recovered using shape from shading.
Abstract
We present a facial view synthesis technique based on explicit shape and reflectance information extracted from a single image. The technique combines an image based reflectance estimation process with a novel method of interpolating between needle-maps recovered using shape from shading. This allows images of a face to be synthesised under novel lighting, pose and skin reflectance given only one example image. We exploit facial symmetry by reflecting the needle-map of a rotated face to yield the needle-map of the face rotated in the opposite direction. This provides two needle-maps between which interpolation can be performed.

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Citations
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Proceedings ArticleDOI

Image based rendering for a mobile robot using visual landmarks

TL;DR: This paper addresses the problem of IBR on images taken by a mobile robot by proposing a novel IBR method, where the location uncertainty is reduced using a visual landmark, which is commonly used in mobile robotics.
Proceedings ArticleDOI

View synthesis on mobile robot image database

TL;DR: This paper proposes a novel IBR method, where the location uncertainty is reduced using a visual landmark, which is commonly used in mobile robotics, and can be performed successfully under the location Uncertainty.
References
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Proceedings ArticleDOI

Face recognition using eigenfaces

TL;DR: An approach to the detection and identification of human faces is presented, and a working, near-real-time face recognition system which tracks a subject's head and then recognizes the person by comparing characteristics of the face to those of known individuals is described.
Journal ArticleDOI

From few to many: illumination cone models for face recognition under variable lighting and pose

TL;DR: A generative appearance-based method for recognizing human faces under variation in lighting and viewpoint that exploits the fact that the set of images of an object in fixed pose but under all possible illumination conditions, is a convex cone in the space of images.
Journal ArticleDOI

Face recognition by elastic bunch graph matching

TL;DR: A system for recognizing human faces from single images out of a large database containing one image per person, based on a Gabor wavelet transform, which is constructed from a small get of sample image graphs.
Proceedings ArticleDOI

View-based and modular eigenspaces for face recognition

TL;DR: In this paper, a view-based multiple-observer eigenspace technique is proposed for use in face recognition under variable pose, which incorporates salient features such as the eyes, nose and mouth, in an eigen feature layer.
Proceedings ArticleDOI

Face recognition by elastic bunch graph matching

TL;DR: A system for recognizing human faces from single images out of a large database containing one image per person, based on a Gabor wavelet transform, which differs from Lades et al. (1993) in three respects.