Abstract
If scene flow expressed in three-dimensional (3D) vector fields is robustly estimated from multi-view or multi-focus images, we can develop advanced 3D motion tracking and motion compensation for 3D video compression. In this study, based on a synthesis of multi-focus images from multi-view images, we propose a novel method for analyzing 3D scene flow accurately at low computational cost as an extension of 2D optical flow estimation. Our method directly estimates 3D scene flow in multi-focus images arranged in a direction orthogonal to them by an extended pyramidal Lucas-Kanade method for 3D. Experimental results show that scene flow estimation is achieved efficiently when using our proposed method. In addition, our method can be easily implemented on a graphics processing unit for real-time applications.
Published Version
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call