Mathias Unberath is an Assistant Professor in the Department of Computer Science at Johns Hopkins University and affiliated with the Laboratory for Computational Sensing and Robotics and the Malone Center for Engineering in Healthcare.
His group – the ARCADE Lab – develops collaborative intelligent systems that support clinical workflows to increase the access to – and expand the possibilities of highest-quality healthcare. They pioneer human-centered solutions that are enabled by synergistic advancements across imaging, computer vision, machine learning, and interaction design to develop systems that are embodied in emerging technology, such as mixed reality and robotics.
Title: 3D Vision in Endoscopy
Recovering the 3D scene geometry from one or multiple projective observations thereof is a well established problem in machine vision. In endoscopy, the challenges associated with 3D vision are exacerbated due to the repetitive textures of anatomy or the lack of photometric consistency, among other things. In this talk, I will highlight some of our recent developments to overcome these challenges and enable 3D vision from monocular and stereo endoscopic video.