Abstract
Pose imitation is for two shapes to study pose from each other. It has been a hot area in shape deformation and we improve the original graphical pose imitation method by introducing signal thought. Laplace framework is often used in pose imitation and geometrical information involved Laplace operator performs better in preserving original shape's mass smooth part by carrying much intrinsic information of graph. However, the two shapes' bases in Laplace feature space need to be well mapped before utilizing classical pose imitation algorithm, which makes it an obstacle to introduce the geometry related Laplace operator. In our work, the problem is solved by proposing signal transfer algorithm and based on it, we put out an effective pose imitation framework using edge length related Laplace operator. Our method well suits to 2-dimension shape and good results of pose imitation have been achieved.
| Original language | English |
|---|---|
| Title of host publication | Eighth International Conference on Digital Image Processing, ICDIP 2016 |
| Publisher | SPIE |
| Volume | 10033 |
| ISBN (Electronic) | 9781510605039 |
| DOIs | |
| Publication status | Published - 2016 |
| Event | 8th International Conference on Digital Image Processing, ICDIP 2016 - Chengu, China Duration: 2016 May 20 → 2016 May 23 |
Other
| Other | 8th International Conference on Digital Image Processing, ICDIP 2016 |
|---|---|
| Country | China |
| City | Chengu |
| Period | 16/5/20 → 16/5/23 |
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Keywords
- Laplace operator
- Pose imitation
- Signal transfer
- Spectral analysis.
ASJC Scopus subject areas
- Electronic, Optical and Magnetic Materials
- Condensed Matter Physics
- Computer Science Applications
- Applied Mathematics
- Electrical and Electronic Engineering
Cite this
Improvement of pose imitation method : A signal processing perspective. / Mao, Tiezheng; Mao, Aihua; Yoshie, Osamu.
Eighth International Conference on Digital Image Processing, ICDIP 2016. Vol. 10033 SPIE, 2016. 100335C.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Improvement of pose imitation method
T2 - A signal processing perspective
AU - Mao, Tiezheng
AU - Mao, Aihua
AU - Yoshie, Osamu
PY - 2016
Y1 - 2016
N2 - Pose imitation is for two shapes to study pose from each other. It has been a hot area in shape deformation and we improve the original graphical pose imitation method by introducing signal thought. Laplace framework is often used in pose imitation and geometrical information involved Laplace operator performs better in preserving original shape's mass smooth part by carrying much intrinsic information of graph. However, the two shapes' bases in Laplace feature space need to be well mapped before utilizing classical pose imitation algorithm, which makes it an obstacle to introduce the geometry related Laplace operator. In our work, the problem is solved by proposing signal transfer algorithm and based on it, we put out an effective pose imitation framework using edge length related Laplace operator. Our method well suits to 2-dimension shape and good results of pose imitation have been achieved.
AB - Pose imitation is for two shapes to study pose from each other. It has been a hot area in shape deformation and we improve the original graphical pose imitation method by introducing signal thought. Laplace framework is often used in pose imitation and geometrical information involved Laplace operator performs better in preserving original shape's mass smooth part by carrying much intrinsic information of graph. However, the two shapes' bases in Laplace feature space need to be well mapped before utilizing classical pose imitation algorithm, which makes it an obstacle to introduce the geometry related Laplace operator. In our work, the problem is solved by proposing signal transfer algorithm and based on it, we put out an effective pose imitation framework using edge length related Laplace operator. Our method well suits to 2-dimension shape and good results of pose imitation have been achieved.
KW - Laplace operator
KW - Pose imitation
KW - Signal transfer
KW - Spectral analysis.
UR - http://www.scopus.com/inward/record.url?scp=85000400621&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85000400621&partnerID=8YFLogxK
U2 - 10.1117/12.2244949
DO - 10.1117/12.2244949
M3 - Conference contribution
VL - 10033
BT - Eighth International Conference on Digital Image Processing, ICDIP 2016
PB - SPIE
ER -