Super-Pixel Sampler: a Data-driven Approach for Depth Sampling and Reconstruction
Adam Wolff,Shachar Praisler,Ilya Tcenov,Guy Gilboa,Adam Wolff,Shachar Praisler,Ilya Tcenov,Guy Gilboa
Depth acquisition, based on active illumination, is essential for autonomous and robotic navigation. LiDARs (Light Detection And Ranging) with mechanical, fixed, sampling templates are commonly used in today's autonomous vehicles. An emerging technology, based on solid-state depth sensors, with no mechanical parts, allows fast and adaptive scans. In this paper, we propose an adaptive, image-driven...
