S
Sami Romdhani
Researcher at University of Basel
Publications - 30
Citations - 3521
Sami Romdhani is an academic researcher from University of Basel. The author has contributed to research in topics: Face detection & Support vector machine. The author has an hindex of 14, co-authored 30 publications receiving 2768 citations. Previous affiliations of Sami Romdhani include Microsoft.
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Proceedings ArticleDOI
A 3D Face Model for Pose and Illumination Invariant Face Recognition
TL;DR: This paper publishes a generative 3D shape and texture model, the Basel Face Model (BFM), and demonstrates its application to several face recognition task and publishes a set of detailed recognition and reconstruction results on standard databases to allow complete algorithm comparisons.
Proceedings ArticleDOI
Optimal Step Nonrigid ICP Algorithms for Surface Registration
TL;DR: An algorithm using a locally affine regularisation which assigns an affine transformation to each vertex and minimises the difference in the transformation of neighbouring vertices is presented, showing that for this regularisation the optimal deformation for fixed correspondences and fixed stiffness can be determined exactly and efficiently.
Proceedings ArticleDOI
Estimating 3D shape and texture using pixel intensity, edges, specular highlights, texture constraints and a prior
Sami Romdhani,Thomas Vetter +1 more
TL;DR: A novel algorithm aiming to estimate the 3D shape, the texture of a human face, along with the3D pose and the light direction from a single photograph by recovering the parameters of a 3D morphable model is presented.
Proceedings ArticleDOI
Computationally efficient face detection
TL;DR: A method of speeding up the non-linear support vector machine by considering the RV's sequentially, and if at any point a face is deemed too unlikely to cease the sequential evaluation, obviating the need to evaluate the remaining RVs.
Journal ArticleDOI
3D Morphable Face Models—Past, Present, and Future
Bernhard Egger,William A. P. Smith,Ayush Tewari,Stefanie Wuhrer,Michael Zollhoefer,Thabo Beeler,Florian Bernard,Timo Bolkart,Adam Kortylewski,Sami Romdhani,Christian Theobalt,Volker Blanz,Thomas Vetter +12 more
TL;DR: A detailed survey of 3D Morphable Face Models over the 20 years since they were first proposed is provided in this paper, where the challenges in building and applying these models, namely, capture, modeling, image formation, and image analysis, are still active research topics, and the state-of-the-art in each of these areas are reviewed.