Jan-Michael Frahm is a Associate Professor at University of North Carolina at Chapel Hill where he heads the 3D computer vision group and he is director of Computer Vision at RENCI (RENaissance Computing Institute). He received his Ph.D in computer vision in 2005 from the Christian-Albrechts University of Kiel, Germany. His dissertation, “Camera Self-Calibration with Known Camera Orientation” received the prize for that year’s best Ph.D. dissertation in CAU’s College of Engineering. His Diploma in Computer Science is from the University of Lübeck.
Dr. Frahm’s research interests include a variety of computer vision problems. He has worked on structure from motion for single/multi-camera systems for static and dynamic scenes to create 3D models of the scene; real-time multi-view stereo to create a dense scene geometry from camera images; use of camera-sensor systems for 3D scene reconstruction with fusion of multiple orthogonal sensors; improved robust and fast estimation methods from noisy data to compensate for highly noisy measurements in various stages of the reconstruction process; high performance feature tracking for salient image-point motion extraction; and the development of data-parallel algorithms for commodity graphics hardware for efficient 3D reconstruction. Dr. Frahm has worked at UNC in the real-time urban modeling project “UrbanScape” and received the Best Demo Award for it at CVPR 2007. Dr. Frahm is editor in chief for the Elsevier journal on image and vision computing. [full cv]