Locating landmarks on human body scan data
NRC '97 Proceedings of the International Conference on Recent Advances in 3-D Digital Imaging and Modeling
Realistic modeling and animation of human body based on scanned data
Journal of Computer Science and Technology
Building symbolic information for 3D human body modeling from range data
3DIM'99 Proceedings of the 2nd international conference on 3-D digital imaging and modeling
A functional-based segmentation of human body scans in arbitrary postures
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Automatic Segmentation of Scanned Human Body Using Curve Skeleton Analysis
MIRAGE '09 Proceedings of the 4th International Conference on Computer Vision/Computer Graphics CollaborationTechniques
Heat diffusion approach for feature-based body scans analysis
EG 3DOR'11 Proceedings of the 4th Eurographics conference on 3D Object Retrieval
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This paper presents an automatic method to extract joints accurately from scanned human body shape. Firstly, model is divided into slices by a group of horizontal parallel planes and primary landmarks are determinated according to the slices. Additionally, we propose a model intersection method based on direction of limbs. Model is separated into five segments including torso and four limbs and approximate direction of each segment can be calculated according to the primary landmarks. Five groups of parallel planes perpendicular to corresponding segments are employed to divide each segment into slices, and contours are calculated by intersection detection between planes and triangles. Finally, we propose a circularity function differentiation technique to extract key contours at joints from segments and the joints can be calculated according to centroids of the key contours. The experimental results demonstrate that the method has more advantages than the conventional ones, especially in algorithm's accuracy and robustness.