Adaptive Contour Fitting for Pose-Invariant 3D Face Shape Reconstruction | Zendy

Chengchao Qu | Zendy; Eduardo Monari | Zendy; Tobias Schuchert | Zendy; Jürgen Beyerer | Zendy

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Adaptive Contour Fitting for Pose-Invariant 3D Face Shape Reconstruction

Author(s) -

Chengchao Qu,

Eduardo Monari,

Tobias Schuchert,

Jürgen Beyerer

Publication year - 2015

Language(s) - English

Resource type - Conference proceedings

DOI - 10.5244/c.29.87

Subject(s) - artificial intelligence , computer vision , landmark , invariant (physics) , computer science , face (sociological concept) , active shape model , pattern recognition (psychology) , facial recognition system , mathematics , social science , segmentation , sociology , mathematical physics

Motivation Direct reconstruction of 3D face shape—solely based on a sparse set of 2D feature points localized by a facial landmark detector— offers an automatic, efficient and illumination-invariant alternative to the widely known analysis-by-synthesis framework, which is extremely timeconsuming considering the enormous parameter space for both shape and photometric properties. Given 2D landmarks y and their correspondence on the 3D Morphable Model (3DMM), the 3D shape can be recovered by minimizing the distance between 2D and the projected 3D landmarks

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