Ryusuke Sagawa is a researcher at Service Robotics Research Group,
Intelligent Systems Research Institute, National Institute of Advanced
Industrial Science and Technology (AIST), Japan. He received a BE in
Information Science from Kyoto University in 1998.  He received a ME
in Information Engineering in 2000 and Ph.D. in Information and
Communication Engineering from the University of Tokyo in 2003. He was
an assistant professor at the Institute of Scientific and Industrial
Research, Osaka University. He stayed at ETHZ as a visiting researcher
in 2008 and moved to AIST in 2010. His primary research interests are
computer vision, computer graphics and robotics (mainly geometrical
modeling and visualization).

AG 1, AG 2, AG 3, AG 4, AG 5, RG1, MMCI   Info

AG Audience

English

45 Minutes

Saarbrücken

3D scanning of moving objects has many applications, for example, marker-less motion capture, analysis on fluid dynamics, object explosion and so on. One of the approach to acquire accurate shape is a projector-camera system, especially the methods that reconstructs a shape by using a single image with static pattern is suitable for capturing fast moving object. In this research, we propose a method that uses a grid pattern consisting of sets of parallel lines. The pattern is spatially encoded by a periodic color pattern. While informations are sparse in the camera image, the proposed method extracts the dense (pixel-wise) phase informations from the sparse pattern. As the result, continuous regions in the camera images can be extracted by analyzing the phase. Since there remain one DOF for each region, we propose the linear solution to eliminate the DOF by using geometric informations of the devices, i.e. epipolar constraint. In addition, solution space is finite because projected pattern consists of parallel lines with same intervals, the linear equation can be efficiently solved by integer least square method. In the experiments, a scanning system that can capture an object in fast motion has been actually developed by using a high-speed camera. In the experiments, we show the sequence of dense shapes of an exploding balloon, and other objects at more than 1000 fps.

Michael Wand

4008

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