Dense 3D interpretation of image sequences: a variational approach using anisotropic diffusion

The purpose of this study is to investigate a new method for recovering relative depth and 3D motion from a temporal sequence of monocular images. The method is direct insomuch as it does not require computation of image motion prior to 3D interpretation. This interpretation is obtained by minimizing a functional with two characteristic terms, one of conformity to the spatiotemporal changes in the image sequence, the other of regularization based on anisotropic diffusion. The Euler-Lagrange equations corresponding to the functional minimization are solved iteratively via the half-quadratic algorithm.

• Type: Conference
• Year: 2003
• Where: ICIAP
• Authors: Hicham Sekkati, Amar Mitiche
• Keywords: Functional Minimization, ICIAP 2003, Image Processing, Image Sequence, Temporal Sequence