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Estimating the 3D shape information of a face from a single image is a challenging task, especially when the input image is captured under unconstrained scenarios (e.g., variations of pose, illumination, expression, or even disguise). Previous approaches to this problem typically require careful initialization, registration, or segmentation of the face image regions. With the objective to match the...
There is a strong demand for a method of acquiring a non-rigid shape under deformation with high accuracy and high resolution. However, this is difficult to achieve because of performance limitations in measurement hardware. In this paper, we propose a model based method for estimating non-rigid deformation of a developable surface. The model is based on geometric characteristics of the surface, which...
In this article we explore the use of methodologies for 3D reconstruction from multiple images to recognize faces. We try to devise a strategy to tackle the problem of recognizing faces from images exhibiting strong pose (rotation and occlusion) and without prior knowledge (uncalibrated cameras, images from different sources). We do so by framing the recognition in the context of 3D structure from...
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