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To deal with multi-modality in human pose estimation, mixture models or local models are introduced. However, problems with over-fitting and generalization are caused by our necessarily limited data, and the regression parameters need to be determined without resorting to slow and processor-hungry techniques, such as cross validation. To compensate these problems, we have developed a semi-parametric...
According to measure relevant parameters of the 3D models of normal human knee, standard 3D knee model and geometry dimension database were established. Firstly, Computed Tomography (CT for short) was carried out in 110 healthy volunteers in a hospital in Tianjin. Secondly, using the reverse engineering software MIMICS, the CT images of knee joint were processed and 3D model was reconstructed. Then,...
Posture estimation plays an important role in human-computer interaction, many algorithms have been presented, but their precisions are not good enough, moreover, some approaches can only be applied under certain initial gestures. We propose a hierarchical estimation of body poses by adopting geodesic information in initiation and combining curvature constraints into graph model. Unlike other approaches,...
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