Face reconstruction using a small set of feature points

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 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 publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
PublisherSpringer Verlag
Pages308-315
Number of pages8
Volume1811
ISBN (Print)3540675604, 9783540675600
DOIs
Publication statusPublished - 2000
Event1st IEEE International Workshop on Biologically Motivated Computer Vision, BMCV 2000 - Seoul, Korea, Republic of
Duration: 2000 May 152000 May 17

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume1811
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other1st IEEE International Workshop on Biologically Motivated Computer Vision, BMCV 2000
CountryKorea, Republic of
CitySeoul
Period00/5/1500/5/17

Fingerprint

Feature Point
Textures
Face
Texture
Least Squares
Linear Combination
Optimal Solution
Prototype
Experimental Results
Approximation

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Hwang, B. W., Blanz, V., Vetter, T., & Lee, S. W. (2000). Face reconstruction using a small set of feature points. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 1811, pp. 308-315). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 1811). Springer Verlag. https://doi.org/10.1007/3-540-45482-9_30

Face reconstruction using a small set of feature points. / Hwang, Bon Woo; Blanz, Volker; Vetter, Thomas; Lee, Seong Whan.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 1811 Springer Verlag, 2000. p. 308-315 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 1811).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Hwang, BW, Blanz, V, Vetter, T & Lee, SW 2000, Face reconstruction using a small set of feature points. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). vol. 1811, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 1811, Springer Verlag, pp. 308-315, 1st IEEE International Workshop on Biologically Motivated Computer Vision, BMCV 2000, Seoul, Korea, Republic of, 00/5/15. https://doi.org/10.1007/3-540-45482-9_30
Hwang BW, Blanz V, Vetter T, Lee SW. Face reconstruction using a small set of feature points. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 1811. Springer Verlag. 2000. p. 308-315. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/3-540-45482-9_30
Hwang, Bon Woo ; Blanz, Volker ; Vetter, Thomas ; Lee, Seong Whan. / Face reconstruction using a small set of feature points. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 1811 Springer Verlag, 2000. pp. 308-315 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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