Automatic 3D face generation from video with sparse point constraint and dense deformable model
Abstract
3D face models have been widely applied in various fields (e.g. biometrics, movies, video games). Especially, it is one of the most popular and challenging tasks in computer vision and computer graphics to reconstruct a 3D face model only with single camera without attaching landmarks and projecting laser dots or structured light patterns on a face. For example, Maejima proposed a method, based on generic-model approach, which can quickly reconstruct a 3D face model from 2D single photograph using a deformable face model [Maejima et al. 2008]. However, since it supposes input as a frontal face image, this method cannot express the individual facial parts' geometry such as height of nose and cheek contour accurately.
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References
[1]
Irie, a., et.al., 2011. Accuracy Improvements of Facial Contour Detection by Hierarchical Fitting using Regression, 17th SSII 2011, Poster, IS1-06
[2]
Maejima, a., and Morishima, s. 2008. Fast Plausible 3D Face Generation from a Single Photograph, In ACM SIGGRAPH ASIA 2008, Poster, maejima.pdf
[3]
Tomasi, c., and Kanade, t. 1992. Shape and Motion from Image Streams under Orthography: a Factorization Method, International Journal of Computer Vision 9, pp. 137--154
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Published: 12 December 2011
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