Summary: IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS, TO APPEAR, 2009 1
Modeling Repetitive Motions using Structured Light
Yi Xu and Daniel G. Aliaga
Abstract-- Obtaining models of dynamic 3D objects is an important part of content generation for computer graphics.
Numerous methods have been extended from static scenarios to model dynamic scenes. If the states or poses of the dynamic
object repeat often during a sequence (but not necessarily periodically), we call such a repetitive motion. There are many
objects, such as toys, machines, and humans, undergoing repetitive motions. Our key observation is that when a motion state
repeats, we can sample the scene under the same motion state again but using a different set of parameters; thus providing
more information of each motion state. This enables robustly acquiring dense 3D information difficult for objects with repetitive
motions using only simple hardware. After the motion sequence, we group temporally disjoint observations of the same motion
state together and produce a smooth space-time reconstruction of the scene. Effectively, the dynamic scene modeling problem
is converted to a series of static scene reconstructions, which are easier to tackle. The varying sampling parameters can be, for
example, structured-light patterns, illumination directions, and viewpoints resulting in different modeling techniques. Based on
this observation, we present an image-based motion state framework and demonstrate our paradigm using either a
synchronized or an unsynchronized structured-light acquisition method.
Index Terms-- Three Dimensional Graphics and Realism, Digitization and Image Capture, Geometric Modeling.
Modeling dynamic 3D objects is an important part of
content generation for virtual reality, movies, gaming,