Partial differential equation-based dense 3D structure and motion estimation from monocular image sequences PROJECT TITLE :Partial differential equation-based dense 3D structure and motion estimation from monocular image sequencesABSTRACT:In this study, the authors propose an approach towards dense depth reconstruction, combining robust feature-based structure from motion with the spatial coherence of dense reconstruction algorithms. To achieve this, a variational framework was set up, minimising the epipolar reprojection error and the image brightness constraint, while preserving discontinuities in the depth field by introducing an anisotropic diffusion term. As initial guess for the iterative solver, a region growing algorithm is proposed which mixes sparse and dense data. Did you like this research project? To get this research project Guidelines, Training and Code... Click Here facebook twitter google+ linkedin stumble pinterest Hand-based multimodal identification system with secure biometric template storage Robust three-dimensional vehicle reconstruction using cross-ratio invariance
