Feature-based image metamorphosis
SIGGRAPH '92 Proceedings of the 19th annual conference on Computer graphics and interactive techniques
Making caricatures with morphing
ACM SIGGRAPH 97 Visual Proceedings: The art and interdisciplinary programs of SIGGRAPH '97
IEEE Transactions on Pattern Analysis and Machine Intelligence
PicToon: a personalized image-based cartoon system
Proceedings of the tenth ACM international conference on Multimedia
Example-Based Caricature Generation with Exaggeration
PG '02 Proceedings of the 10th Pacific Conference on Computer Graphics and Applications
Generating Discriminating Cartoon Faces Using Interacting Snakes
IEEE Transactions on Pattern Analysis and Machine Intelligence
Human facial illustrations: Creation and psychophysical evaluation
ACM Transactions on Graphics (TOG)
A High Resolution Grammatical Model for Face Representation and Sketching
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 2 - Volume 02
Improved automatic caricature by feature normalization and exaggeration
SIGGRAPH '04 ACM SIGGRAPH 2004 Sketches
SMI 2011: Full Paper: Interactive 3D caricature from harmonic exaggeration
Computers and Graphics
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We developed a novel system consisting of two modules, statistics-based synthesis and non-photorealistic rendering (NPR), to synthesize caricatures of exaggerated facial features and other particular characteristics, such as beards or nevus. The statistics-based synthesis module can exaggerate shapes and positions of facial features based on non-linear exaggerative rates determined automatically. Instead of comparing only the inter relationship between features of different subjects at the existing methods, our synthesis module applies both inter and intra (i.e. comparisons between facial features of the same subject) relationships to make the synthesized exaggerative shape more contrastive. Subsequently, the NPR module generates a line-drawing sketch of original face, and then the sketch is warped to an exaggerative style with synthesized shape points. The experimental results demonstrate that this system can automatically, and effectively, exaggerate facial features, thereby generating corresponding facial caricatures.