Simulated annealing and Boltzmann machines: a stochastic approach to combinatorial optimization and neural computing
Computer graphics visualization for acoustic simulation
SIGGRAPH '89 Proceedings of the 16th annual conference on Computer graphics and interactive techniques
Lights from highlights and shadows
I3D '92 Proceedings of the 1992 symposium on Interactive 3D graphics
SIGGRAPH '93 Proceedings of the 20th annual conference on Computer graphics and interactive techniques
Radioptimization: goal based rendering
SIGGRAPH '93 Proceedings of the 20th annual conference on Computer graphics and interactive techniques
Design galleries: a general approach to setting parameters for computer graphics and animation
Proceedings of the 24th annual conference on Computer graphics and interactive techniques
A beam tracing approach to acoustic modeling for interactive virtual environments
Proceedings of the 25th annual conference on Computer graphics and interactive techniques
Beam tracing polygonal objects
SIGGRAPH '84 Proceedings of the 11th annual conference on Computer graphics and interactive techniques
Advanced Engineering Informatics
ACM SIGGRAPH 2009 Courses
Developing architectural lighting representations
INFOVIS'03 Proceedings of the Ninth annual IEEE conference on Information visualization
Advanced Engineering Informatics
GENE_ARCH: an evolution-based generative design system for sustainable architecture
EG-ICE'06 Proceedings of the 13th international conference on Intelligent Computing in Engineering and Architecture
Sound tracing: rendering listener specific acoustic room properties
EuroVis'08 Proceedings of the 10th Joint Eurographics / IEEE - VGTC conference on Visualization
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We present a new inverse, interactive approach to acoustic design that applies optimization techniques to an acoustic simulation system. The work builds on previous work in computer graphics dealing with the analogous problem in lighting design. The user interactively indicates a range of acceptable material and geometric modifications for an auditorium or similar space and specifies acoustic goals by choosing target values for a set of acoustic measures. Given this set of goals and constraints, the system performs an optimization of surface material and geometric parameters using a combination of simulated annealing and steepest descent techniques. Visualization tools extract and present the simulated sound field data for points sampled in space and time. The user then manipulates the visualizations to create an intuitive expression of acoustic design goals. We demonstrate an interactive system and report results for two performance spaces.