IEEE Transactions on Pattern Analysis and Machine Intelligence
Computational analysis of visual motion
Computational analysis of visual motion
Model-Based Brightness Constraints: On Direct Estimation of Structure and Motion
IEEE Transactions on Pattern Analysis and Machine Intelligence
Direct Recovery of Planar-Parallax from Multiple Frames
IEEE Transactions on Pattern Analysis and Machine Intelligence
Dense 3D Interpretation of Image Sequences: A Variational Approach Using Anisotropic Diffusion
ICIAP '03 Proceedings of the 12th International Conference on Image Analysis and Processing
Dense 3D Interpretation of Image Sequences: A Variational Approach Using Anisotropic Diffusion
ICIAP '03 Proceedings of the 12th International Conference on Image Analysis and Processing
IEEE Transactions on Pattern Analysis and Machine Intelligence
Efficient and reliable schemes for nonlinear diffusion filtering
IEEE Transactions on Image Processing
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This paper proposes a fast method for dense 3-D interpretation to directly estimate a dense map of relative depth and motion from a monocular sequence of images on large motion fields. The Nagel-Enkelmann technique is employed in the variational formulation of the problem. Diffusion-reaction equations are derived from the formulation so as to approximate the dense map on large motion fields and realize an anisotropic diffusion to preserve the discontinuities of the map. By combining the ideas of implicit schemes and multigrid methods, we present a new implicit multigrid block Gauss-Seidel relaxation scheme, which dramatically reduces the computation time for solving the largescale linear system of diffusion-reaction equations. Using our method, we perform fast 3-D interpretation of image sequences with large motion fields. The efficiency and effectiveness of our method are experimentally verified with synthetic and real image sequences.