Deformable Modeling for Human Body Acquired from Depth Sensors
This addresses the challenge of creating accurate 3D models of human bodies from limited sensor data, which is incremental as it builds on existing depth sensing and deformation techniques.
The paper tackles the problem of reconstructing complete 3D deformable models from a single depth camera by assembling partial surfaces over time, using mesh warping and volumetric methods to align and combine them, resulting in a complete surface with fixed holes and smoothed errors.
This paper presents a novel approach to reconstruct complete 3D deformable models over time by a single depth camera. These are the steps employed for deforming objects from single depth camera. The partial surfaces reconstructed from various times of capture are assembled together to form a complete 3D surface. A mesh warping algorithm is used to align different partial surfaces based on linear mesh deformation. A volumetric method is then applied to combine partial surfaces, fix missing holes and smooth alignment errors.