@inproceedings{41d23bc76dd449c1956b381540c0266a,
title = "Face reconstruction using a small set of feature points",
abstract = "This paper proposes a method for face reconstruction that makes use of only a small set of feature points. Faces can be modeled by forming linear combinations of prototypes of shape and texture information. With the shape and texture information at the feature points alone, we can achieve only an approximation to the deformation required. In such an under-determined condition, we find an optimal solution using a simple least square minimization method. As experimental results, we show well-reconstructed 2D faces even from a small number of feature points.",
author = "Hwang, {Bon Woo} and Volker Blanz and Thomas Vetter and Lee, {Seong Whan}",
note = "Publisher Copyright: {\textcopyright} Springer-Verlag Berlin Heidelberg 2000.; 1st IEEE International Workshop on Biologically Motivated Computer Vision, BMCV 2000 ; Conference date: 15-05-2000 Through 17-05-2000",
year = "2000",
doi = "10.1007/3-540-45482-9_30",
language = "English",
isbn = "3540675604",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "308--315",
editor = "Tomaso Poggio and Seong-Whan Lee and Bulthoff, {Heinrich H.}",
booktitle = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
}