GPU-BASED REAL-TIME SOLID VOXELIZATION FOR VOLUME GRAPHICS: Theory and Practice: Volume Modeling and Volumetric Collision Detection

This book proposes a new approach for an important step of volume graphics -- solid voxelization by Graphics Processor Unit (GPU) acceleration in real time. The algorithms introduced in this book not only improve performance and quality, but also are convenient to implement and integrate into a wide range of volume graphics applications, such as volume modeling, collision detection, volume rendering, volume animation, medical simulation, 3D printing, and computer art. Furthermore, the algorithms are slice-independent voxelization processing, which is critical for any parallelization approaches. Two important volume graphics applications based on the core real-time GPU-accelerated solid voxelization, volumetric Constructive Solid Geometry (CSG) modeling and volumetric collision detection, are studied in detail. The experimental results, performance analysis, comparison, and case studies demonstrate the effectiveness, flexibility, and diversity of the developed approaches.

Duoduo Liao holds a Ph.D degree in computer science from George Washington University and a M.S. degree from Purdue University.