Estimating the body shape and posture of a dressed human subject in motion represented as a sequence of (possibly incomplete) 3D meshes is important for virtual change rooms and security. To solve this problem, statistical shape spaces encoding human body shape and posture variations are commonly used to constrain the search space for the shape estimate. In this work, we propose a novel method ...

Rapid and accurate estimation of a person’s upper body shape and real-time tracking of the pose in the presence of occlusions is crucial for many future assistive technologies, health care applications and telemedicine systems. We propose to tackle this challenging problem by combining data-driven and generative methods for both body shape and pose estimation. Our strategy comprises a subspace-...

Based on recent discoveries, Bujurquina appears to be the most widely distributed and species-rich cichlid genus in western Amazon of South America. In this study, using a large representative sample covering its whole distribution area, we use morphological molecular data test hypothesis that each major basin includes multiple endemic species arranged along an elevational river gradient these ...