Vamshhi Pavan Kumar Varma Vegeshna

Vamshhi Pavan Kumar Varma Vegeshna

In this paper, we contrive a stereo matching algorithm with careful handling of disparity, discontinuity and occlusion. This algorithm works a worldwide matching stereo model which is based on minimization of energy. The global energy comprises two terms, firstly the data term and secondly the smoothness term. The data term is approximated by a color-weighted correlation, then refined in obstruct and low-texture areas in many applications of hierarchical loopy belief propagation algorithm. The results during the experiment are evaluated on the Middlebury data sets, showing that out algorithm is the top performer among all the algorithms listed there

Vamshhi Pavan Kumar Varma Vegeshna

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.