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 language | English |
|---|---|
| Title of host publication | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
| Publisher | Springer Verlag |
| Pages | 308-315 |
| Number of pages | 8 |
| Volume | 1811 |
| ISBN (Print) | 3540675604, 9783540675600 |
| DOIs | |
| Publication status | Published - 2000 |
| Event | 1st IEEE International Workshop on Biologically Motivated Computer Vision, BMCV 2000 - Seoul, Korea, Republic of Duration: 2000 May 15 → 2000 May 17 |
Publication series
| Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
|---|---|
| Volume | 1811 |
| ISSN (Print) | 03029743 |
| ISSN (Electronic) | 16113349 |
Other
| Other | 1st IEEE International Workshop on Biologically Motivated Computer Vision, BMCV 2000 |
|---|---|
| Country | Korea, Republic of |
| City | Seoul |
| Period | 00/5/15 → 00/5/17 |
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ASJC Scopus subject areas
- Theoretical Computer Science
- Computer Science(all)
Cite this
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 proceeding › Conference contribution
}
TY - GEN
T1 - Face reconstruction using a small set of feature points
AU - Hwang, Bon Woo
AU - Blanz, Volker
AU - Vetter, Thomas
AU - Lee, Seong Whan
PY - 2000
Y1 - 2000
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=33744959572&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=33744959572&partnerID=8YFLogxK
U2 - 10.1007/3-540-45482-9_30
DO - 10.1007/3-540-45482-9_30
M3 - Conference contribution
SN - 3540675604
SN - 9783540675600
VL - 1811
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 308
EP - 315
BT - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
PB - Springer Verlag
ER -