Nonlinear frame fusion by minimizing divergence magnitude of optical flow

Frederic Guichard; Lenny I. Rudin

doi:10.1117/12.243193

14 June 1996 Nonlinear frame fusion by minimizing divergence magnitude of optical flow

Frederic Guichard, Lenny I. Rudin

Proceedings Volume 2755, Signal Processing, Sensor Fusion, and Target Recognition V; (1996) https://doi.org/10.1117/12.243193
Event: Aerospace/Defense Sensing and Controls, 1996, Orlando, FL, United States

Abstract

We define a variational method to perform frame-fusion. The process is in three steps: we first estimate the velocities and occlusions using optical flow and spatial constraint on the velocities based on the L¹ norm of the divergence. We then collect non-occluded points from the sequence, and estimate their locations at a chosen time, on which we perform the fusion. From this list of points, we reconstruct the super-frame by minimizing a total variation energy which forces the super-frame to look like each frame of the sequence (after shifting) and select among the least oscillatory solutions. We display some examples.

Citation Download Citation

Frederic Guichard and Lenny I. Rudin "Nonlinear frame fusion by minimizing divergence magnitude of optical flow", Proc. SPIE 2755, Signal Processing, Sensor Fusion, and Target Recognition V, (14 June 1996); https://doi.org/10.1117/12.243193

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