Image-based modeling of inhomogeneous single-scattering participating media  被引量:4

Image-based modeling of inhomogeneous single-scattering participating media

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作  者:HU Yong QI Yue TONG Xin 

机构地区:[1]State Key Laboratory of Virtual Reality Technology and Systems, Beihang University, Beijing 100191, China [2]Microsoft Research Asia, Beijing 100080, China

出  处:《Science China(Information Sciences)》2010年第6期1141-1150,共10页中国科学(信息科学)(英文版)

基  金:supported by the National Natural Science Foundation of China (Grant No. 60773153);the National High-Tech Research & Development Program of China (Grant No. 2009AA012102);Beijing Natural Science Foundation (Grant No. 4102037)

摘  要:We propose a method to reconstruct inhomogeneous single-scattering participating media, which could preserve fine high-frequency details of density field. Volumetric data and the ratio of absorption coefficient to scattering coefficient are used to describe the spatial-varying density distribution and optical properties of certain participating media, and a function between the above parameters and captured pixel values is built. Thus the problem of how to find solutions to these parameters is formulated into a nonlinear numerical optimization problem. In order to reduce large time overheads and numerical instability brought by simultaneously solving large numbers of voxels, we propose an initialization algorithm for enabling the assigned density values to satisfy the regularity of brightness distribution in captured images approximately as well as a progressive refinement algorithm for multi-resolution volumetric data. Besides, we propose a parallel multi-voxel gradient computation algorithm of utilizing hardware acceleration to reduce time overheads in gradient computation for large numbers of voxels. Experiment results indicate that our method is well suited for reconstructing thin smoke, retaining high-frequency details from images captured from multiple viewpoints.We propose a method to reconstruct inhomogeneous single-scattering participating media, which could preserve fine high-frequency details of density field. Volumetric data and the ratio of absorption coefficient to scattering coefficient are used to describe the spatial-varying density distribution and optical properties of certain participating media, and a function between the above parameters and captured pixel values is built. Thus the problem of how to find solutions to these parameters is formulated into a nonlinear numerical optimization problem. In order to reduce large time overheads and numerical instability brought by simultaneously solving large numbers of voxels, we propose an initialization algorithm for enabling the assigned density values to satisfy the regularity of brightness distribution in captured images approximately as well as a progressive refinement algorithm for multi-resolution volumetric data. Besides, we propose a parallel multi-voxel gradient computation algorithm of utilizing hardware acceleration to reduce time overheads in gradient computation for large numbers of voxels. Experiment results indicate that our method is well suited for reconstructing thin smoke, retaining high-frequency details from images captured from multiple viewpoints.

关 键 词:single-scattering participating media smoke modeling volumetric modeling image based modeling 

分 类 号:TP391[自动化与计算机技术—计算机应用技术] TN011[自动化与计算机技术—计算机科学与技术]

 

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