A rapid hierarchical radiosity algorithm
Proceedings of the 18th annual conference on Computer graphics and interactive techniques
Radiosity and realistic image synthesis
Radiosity and realistic image synthesis
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
Matrix computations (3rd ed.)
Multi-Objective Optimization Using Evolutionary Algorithms
Multi-Objective Optimization Using Evolutionary Algorithms
Artificial Intelligence: A Modern Approach
Artificial Intelligence: A Modern Approach
Evolutionary Algorithms for Solving Multi-Objective Problems (Genetic and Evolutionary Computation)
Evolutionary Algorithms for Solving Multi-Objective Problems (Genetic and Evolutionary Computation)
ACM Transactions on Graphics (TOG)
A meshless hierarchical representation for light transport
ACM SIGGRAPH 2008 papers
Metaheuristics: From Design to Implementation
Metaheuristics: From Design to Implementation
An inverse daylighting model for CAAD
Proceedings of the 24th Spring Conference on Computer Graphics
Energy-saving light positioning using heuristic search
Engineering Applications of Artificial Intelligence
Optimizing realistic rendering with many-light methods
ACM SIGGRAPH 2012 Courses
Lighting design: a goal based approach using optimisation
EGWR'99 Proceedings of the 10th Eurographics conference on Rendering
Wavelet radiance transport for interactive indirect lighting
EGSR'06 Proceedings of the 17th Eurographics conference on Rendering Techniques
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In this paper we propose a new method for solving inverse lighting design problems that can include diverse sources such as diffuse roof skylights or artificial light sources. Given a user specification of illumination requirements, our approach provides optimal light source positions as well as optimal shapes for skylight installations in interior architectural models. The well known huge computational effort that involves searching for an optimal solution is tackled by combining two concepts: exploiting the scene coherence to compute global illumination and using a metaheuristic technique for optimization. Results and analysis show that our method provides both fast and accurate results, making it suitable for lighting design in indoor environments while supporting interactive visualization of global illumination.