Functional Body Mesh Representation,, A Simplified Kinematic Model, Its Inference and Applications

The paper describes a simplified representation of a body str ucture and a GMM based method for inferring from the motion capture data based on a functional relationship between the points. The proposed representation can be efficiently used for marker-wise processing of the data. The parent-child and sibling relati onships are inferred on a coherence of movement and constanc y of distances. For creating groups representing specific body parts we prop ose an incremental multicriterial clustering algorithm em ploying Gaussian mixture models. To infer body parts hierarchy we propose uti lizing a consensus method.