Title: On Building a Digital Human
Michael J. Black
Max Planck Institute for Intelligent Systems
Abstract: The human body is complex and deformable. For many applications in computer vision, graphics, fashion, and medicine, having a realistic, low-dimensional, 3D model of the body is useful. Getting a good one, however, is difficult. This talk with review the history of our work on learning 3D models of the human body from 3D scans. It will try to answer “what” is a body model, “why” it is useful, and “how” to build one. It will summarize how to accurately align 3D meshes of bodies in arbitrary poses, how to build a statistical model of body shape and non-rigid pose variation, and how to fit such models to data including 3D scans, Kinect data, or mocap markers. The talk will also describe recent work on capturing and modeling breathing and the dynamics of soft tissue motion. Finally it will describe our one-of-a-kind 4D body scanner.