Learning-assisted Matrix-Pencil Method for Indirect Time-of-Flight Image Demixing

Abstract

We present a learning-based approach to estimate scene sparsity from time-of-flight measurements and address leakage artifacts to obtain improved demixing performance from matrix pencil method. Experiments are conducted in our simulator framework using the MitsubaToF renderer.