3D Human model adaptation by frame selection and shape–texture optimization

We present a novel approach for 3D human body shape model adaptation to a sequence of multi-view images, given an initial shape model and initial pose sequence. In a first step, the most informative frames are determined by optimization of an objective function that maximizes a shape–texture likelihood function and a pose diversity criterion (i...

3D Human model adaptation by frame selection and shape–texture optimization

We present a novel approach for 3D human body shape model adaptation to a sequence of multi-view images, given an initial shape model and initial pose sequence. In a first step, the most informative frames are determined by optimization of an objective function that maximizes a shape–texture likelihood function and a pose diversity criterion (i...

Multi-view 3D human pose recovery in complex environment

The recovery of 3D human pose is an important problem in computer vision with many potential applications in human computer interfaces, motion analysis (e.g. sports, medical) and surveillance. 3D human pose also provides informative, viewinvariant features for a subsequent activity recognition step. Most if not all previous work on 3D human pose...