Modulo Imaging: Algorithms and Applications
Jorge Bacca (Assistant Professor, Computer Science Department, Universidad Industrial de Santander, Colombia)
Jorge Bacca
Title: Modulo Imaging: Algorithms and Applications
Abstract: Modulo-imaging (MI) has recently been introduced as a new sensing modality for capturing high-dynamic-range scenes. MI allows pixels to `reset/wrap' upon reaching saturation level by acquiring an irradiance-encoding image, which can then be recovered using unwrapping algorithms based on unlimited sampling theory. We present recent algorithms based on the high-order finite difference for MI and some interesting high-level applications such as objection detection under saturation scenarios.
Website: https://scholar.google.com/citations?user=I5f1HjEAAAAJ&hl=es
In Room M7 101, 1st floor, Monod campus, ENSL.