Wavelet Model-based Stereo for Fast, Robust Face Reconstruction

Alan Brunton, Jochen Lang, Eric Dubois, Chang Shu
2011 2011 Canadian Conference on Computer and Robot Vision  
When reconstructing a specific type or class of object using stereo, we can leverage prior knowledge of the shape of that type of object. A popular class of object to reconstruct is the human face. In this paper we learn a statistical wavelet prior of the shape of the human face and use it to constrain stereo reconstruction within a Bayesian framework. We initialize our algorithm with a, typically noisy, point cloud from a standard stereo algorithm, and search our parameter space for the shape
more » ... hat best fits the point cloud. Due to the wavelet basis, our shape parameters can be optimized independently, thus simplifying and accelerating the search. We follow this by optimizing for a secondary prior and observation: smoothing and photoconsistency. Our method is fast, and is robust to noise and outliers. Additionally, we obtain a shape in an parameterized and corresponded shape space, making it ready for further processing such as tracking, recognition or statistical analysis.
doi:10.1109/crv.2011.53 dblp:conf/crv/BruntonLDS11 fatcat:u22bm4orsvbgdfc4r62qsmx4ry