Face Recognition based on a 3D Morphable Model gorithm is based on an analysis-by-synthesis technique that tional complexity of the fitting algorithm. This paper presents a method for face recognition across variations in pose, ranging from frontal to profile views, and across a wide range of illuminations. Download Citation on ResearchGate | Face recognition based on fitting a 3D morphable model | This paper presents a method for face.
|Published (Last):||8 September 2015|
|PDF File Size:||20.87 Mb|
|ePub File Size:||17.38 Mb|
|Price:||Free* [*Free Regsitration Required]|
The system can’t perform the operation now.
The following articles are merged in Scholar. Their combined citations are counted only for the first article. This “Cited by” count includes citations to the following bbased in Scholar.
New articles by this author. New citations to this author.
New articles related to this author’s research. Email address for updates.
My profile My library Metrics Alerts. Get my own profile Cited by View all All Since Citations h-index 37 28 iindex 63 Professor of Computer Science, Universitaet Siegen.
Verified email at informatik.
IEEE Transactions on pattern analysis and machine intelligence 25 9, Automatic Face and Gesture Recognition, International Conference on Artificial Neural Networks, The Journal of prosthetic dentistry 94 6, Computer Vision and Pattern Recognition Workshop, Human Vision and Electronic Imaging X, European Conference on Computer Vision, Articles 1—20 Show more.
An analysis of maxillary anterior teeth: What object attributes determine canonical views? To what morphaboe do unique parts influence recognition across changes in viewpoint?
Estimating coloured 3D face models from single images: