Face reconstruction from a small number of feature points

Bon Woo Hwang, Volker Blanz, Thomas Vetter, Seong Whan Lee

Research output: Chapter in Book/Report/Conference proceedingChapter

22 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationProceedings - International Conference on Pattern Recognition
Pages838-841
Number of pages4
Volume15
Edition2
Publication statusPublished - 2000

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ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Computer Vision and Pattern Recognition
  • Hardware and Architecture

Cite this

Hwang, B. W., Blanz, V., Vetter, T., & Lee, S. W. (2000). Face reconstruction from a small number of feature points. In Proceedings - International Conference on Pattern Recognition (2 ed., Vol. 15, pp. 838-841)