14967

GPU-Based Inverse Rendering With Multi-Objective Particle Swarm Optimization

Koki Nagano, Thomas Collins, Chi-An Chen, Aiichiro Nakano
University of Southern California
SIGGRAPH Asia 2015 Visualization in High Performance Computing (SA ’15), 2015

@inproceedings{nagano2015gpu,

   title={GPU-based inverse rendering with multi-objective particle swarm optimization},

   author={Nagano, Koki and Collins, Thomas and Chen, Chi-An and Nakano, Aiichiro},

   booktitle={SIGGRAPH Asia 2015 Visualization in High Performance Computing},

   pages={8},

   year={2015},

   organization={ACM}

}

Download Download (PDF)   View View   Source Source   

514

views

We present a novel, GPU-accelerated per-pixel inverse rendering (IR) optimization algorithm based on Particle Swarm Optimization (PSO), IRPSO. IRPSO estimates the per-pixel scene attributes including reflectance properties of a 3D model, and is fast enough to do in situ visualization of the optimization in real-time. We utilize the GPU framebuffer as a computational domain, where each pixel is treated as an independent computational "swarm". We propose a parallel framework that recovers the reflectance at each pixel location in a massively parallel fashion. The algorithm’s high parallel efficiency is demonstrated through our GPU/GLSL shader implementation of the method. IRPSO is validated experimentally on examples including simulated ground truth images.
VN:F [1.9.22_1171]
Rating: 0.0/5 (0 votes cast)

* * *

* * *

HGPU group © 2010-2017 hgpu.org

All rights belong to the respective authors

Contact us: