Details
| Original language | English |
|---|---|
| Title of host publication | Image and Video Technology - PSIVT 2013 Workshops |
| Subtitle of host publication | GCCV 2013, GPID 2013, PAESNPR 2013, and QACIVA 2013, Revised Selected Papers |
| Editors | Fay Huang, Akihiro Sugimoto |
| Publisher | Springer Verlag |
| Pages | 216-227 |
| Number of pages | 12 |
| ISBN (electronic) | 9783642539251 |
| Publication status | Published - 2014 |
| Event | 6th Pacific-Rim Symposium on Image and Video Technology, PSIVT 2013 with GCCV 2013, GPID 2013, PAESNPR 2013, and QACIVA 2013 - Guanajuato, Mexico Duration: 28 Oct 2013 → 29 Oct 2013 |
Publication series
| Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
|---|---|
| Volume | 8334 |
| ISSN (Print) | 0302-9743 |
| ISSN (electronic) | 1611-3349 |
Abstract
We compare the performance of an intensity based nonparametric image registration algorithm and extensions applied to frame interpolation of mouth images. The mouth exhibits large deformations due to different shapes, additionally some facial features occlude others, e.g. the lips cover the teeth. The closures and disclosures represent a challenging problem, which cannot be solved by the traditional image registration algorithms. The tested extensions include local regularizer weight adaptation, incorporation of landmarks, self-occlusion handling and penalization of folds, which have all been examined with different weight parameters. Since the performance of these algorithms and extensions turns out to be superior in case of mouth closures, we provide an algorithm for the automatic selection of deformable template and static reference image for the registration procedure. Subjective tests show that the quality of results for interpolation of mouth images is enhanced by this proposal.
Keywords
- Facial motion, Frame interpolation, Nonparametric image registration, Numeric optimization, Optical flow, Variational
ASJC Scopus subject areas
- Mathematics(all)
- Theoretical Computer Science
- Computer Science(all)
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Image and Video Technology - PSIVT 2013 Workshops : GCCV 2013, GPID 2013, PAESNPR 2013, and QACIVA 2013, Revised Selected Papers. ed. / Fay Huang; Akihiro Sugimoto. Springer Verlag, 2014. p. 216-227 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8334).
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Performance of Image Registration and Its Extensions for Interpolation of Facial Motion
AU - Grasshof, Stella
AU - Ostermann, Jörn
PY - 2014
Y1 - 2014
N2 - We compare the performance of an intensity based nonparametric image registration algorithm and extensions applied to frame interpolation of mouth images. The mouth exhibits large deformations due to different shapes, additionally some facial features occlude others, e.g. the lips cover the teeth. The closures and disclosures represent a challenging problem, which cannot be solved by the traditional image registration algorithms. The tested extensions include local regularizer weight adaptation, incorporation of landmarks, self-occlusion handling and penalization of folds, which have all been examined with different weight parameters. Since the performance of these algorithms and extensions turns out to be superior in case of mouth closures, we provide an algorithm for the automatic selection of deformable template and static reference image for the registration procedure. Subjective tests show that the quality of results for interpolation of mouth images is enhanced by this proposal.
AB - We compare the performance of an intensity based nonparametric image registration algorithm and extensions applied to frame interpolation of mouth images. The mouth exhibits large deformations due to different shapes, additionally some facial features occlude others, e.g. the lips cover the teeth. The closures and disclosures represent a challenging problem, which cannot be solved by the traditional image registration algorithms. The tested extensions include local regularizer weight adaptation, incorporation of landmarks, self-occlusion handling and penalization of folds, which have all been examined with different weight parameters. Since the performance of these algorithms and extensions turns out to be superior in case of mouth closures, we provide an algorithm for the automatic selection of deformable template and static reference image for the registration procedure. Subjective tests show that the quality of results for interpolation of mouth images is enhanced by this proposal.
KW - Facial motion
KW - Frame interpolation
KW - Nonparametric image registration
KW - Numeric optimization
KW - Optical flow
KW - Variational
UR - http://www.scopus.com/inward/record.url?scp=84927665978&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-53926-8_20
DO - 10.1007/978-3-642-53926-8_20
M3 - Conference contribution
AN - SCOPUS:84927665978
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 216
EP - 227
BT - Image and Video Technology - PSIVT 2013 Workshops
A2 - Huang, Fay
A2 - Sugimoto, Akihiro
PB - Springer Verlag
T2 - 6th Pacific-Rim Symposium on Image and Video Technology, PSIVT 2013 with GCCV 2013, GPID 2013, PAESNPR 2013, and QACIVA 2013
Y2 - 28 October 2013 through 29 October 2013
ER -