An effective 3d facial segmentation algorithm based on SNAKE model

Authors:
Zenggang Lin;Zhe Guo;Jun Liang
Affiliations:
College of Computer Science, Shaanxi Key Laboratory of Speech and Image Information Processing, Northwestern Polytechnical University, Xi'an, China;College of Computer Science, Shaanxi Key Laboratory of Speech and Image Information Processing, Northwestern Polytechnical University, Xi'an, China;College of Computer Science, Shaanxi Key Laboratory of Speech and Image Information Processing, Northwestern Polytechnical University, Xi'an, China
Venue:
IScIDE'11 Proceedings of the Second Sino-foreign-interchange conference on Intelligent Science and Intelligent Data Engineering
Year:
2011

Citing 5
Cited 0

Decomposing polygon meshes for interactive applications

I3D '01 Proceedings of the 2001 symposium on Interactive 3D graphics
Hierarchical face clustering on polygonal surfaces

I3D '01 Proceedings of the 2001 symposium on Interactive 3D graphics
Snaking Across 3D Meshes

PG '04 Proceedings of the Computer Graphics and Applications, 12th Pacific Conference
Mesh scissoring with minima rule and part salience

Computer Aided Geometric Design - Special issue: Geometry processing
Snakes, shapes, and gradient vector flow

IEEE Transactions on Image Processing

Quantified Score

Hi-index	0.00

Visualization

Abstract

The paper applied the SNAKE model to segmentation of 3D real facial model: First, using physiological knowledge of the facial organs distribution to get the initial processing region; Second, using bending energy and tensile energy to compose the internal energy, using total energy of vertex's characteristic to compose external energy and using the area contained by the vertexes as the constraint, building up the equation of energy's changing; finally, doing the iterative operation to equation and get the segmentation result when the equation value is minimum. Experiment results in real 3D models show the algorithm's validity and superiority.