Mapping learning in eigenspace for harmonious caricature generation

Authors:
Junfa Liu;Yiqiang Chen;Wen Gao
Affiliations:
Chinese Academy of Sciences, Beijing, China & Graduate School of Chinese Academy of Sciences, Beijing, China;Chinese Academy of Sciences, Beijing, China;Chinese Academy of Sciences, Beijing, China
Venue:
MULTIMEDIA '06 Proceedings of the 14th annual ACM international conference on Multimedia
Year:
2006

Citing 7
Cited 6

Principal Warps: Thin-Plate Splines and the Decomposition of Deformations

IEEE Transactions on Pattern Analysis and Machine Intelligence
The nature of statistical learning theory

The nature of statistical learning theory
Making caricatures with morphing

ACM SIGGRAPH 97 Visual Proceedings: The art and interdisciplinary programs of SIGGRAPH '97
Example-Based Caricature Generation with Exaggeration

PG '02 Proceedings of the 10th Pacific Conference on Computer Graphics and Applications
Learning and Caricaturing the Face Space Using Self-Organization and Hebbian Learning for Face Processing

ICIAP '01 Proceedings of the 11th International Conference on Image Analysis and Processing
Human facial illustrations: Creation and psychophysical evaluation

ACM Transactions on Graphics (TOG)
Depicting Shape Features with Directional Strokes and Spotlighting

CGI '04 Proceedings of the Computer Graphics International

AAML Based Avatar Animation with Personalized Expression for Online Chatting System

PCM '08 Proceedings of the 9th Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing
Semi-supervised Learning of Caricature Pattern from Manifold Regularization

MMM '09 Proceedings of the 15th International Multimedia Modeling Conference on Advances in Multimedia Modeling
Learning from humanoid cartoon designs

ICDM'10 Proceedings of the 10th industrial conference on Advances in data mining: applications and theoretical aspects
MMS entertainment system based on mobile phone

ICIMCS '10 Proceedings of the Second International Conference on Internet Multimedia Computing and Service
Shape stylized face caricatures

MMM'11 Proceedings of the 17th international conference on Advances in multimedia modeling - Volume Part I
Colored exaggerative caricature creation using inter- and intra-correlations of feature shapes and positions

Image and Vision Computing

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper proposes a mapping learning approach for caricature auto-generation. Simulating the artist's creativity based on the object's facial feature, our approach targets discovering what are the principal components of the facial features, and what's the difference between facial photograph and caricature measured by those components. In training phase, PCA approach is adopted to obtain the principal components. Then, machine learning of SVR (Support Vector Regression) is carried out to learn the mapping model in principal component space. With the mapping model, in application phase, users just need to input a frontal facial photograph for the caricature generation. The caricature is exaggerated based on the original face while reserving essential similar features. Experiments proved comparatively that our approach could generate more harmonious caricatures.