A variational approach for multi-valued velocity field estimation in transparent sequences
SSVM'07 Proceedings of the 1st international conference on Scale space and variational methods in computer vision
Variational Multi-Valued Velocity Field Estimation for Transparent Sequences
Journal of Mathematical Imaging and Vision
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An image is ideally a projection of the 3-D scene. However the imaging process is always imperfect and constrained by the physical environment, for example, viewing through a window with reflections. This paper is concerned with image sequences acquired in such situations, the so-called transparency. When it occurs, the image sequence contains undesirable transparent motion, for example, of the window reflections. This complicates the already difficult motion estimation problem. We present an algorithm to segment transparent motion based on a spatio-temporal filtering technique-3-D Hermite polynomial differentiation filters. With motion segmentation accomplished, we can then focus on the scene analysis. The implementation of our algorithm is fast and accurate.