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Inverse Lighting with a Monte Carlo Method

Inverse Lighting with a Monte Carlo Method. Patrick Poulingeas, Vincent Jolivet, Dimitri Plemenos LMSI Equipe Modélisation et Infographie Intelligente. Usual Lighting Process. Data : Scene Geometry Material properties. designer‘idea of lighting. Specifications given by the designer :

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Inverse Lighting with a Monte Carlo Method

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  1. Inverse Lighting with a Monte Carlo Method Patrick Poulingeas, Vincent Jolivet, Dimitri Plemenos LMSI Equipe Modélisation et Infographie Intelligente

  2. Usual Lighting Process • Data: • Scene Geometry • Material properties designer‘idea of lighting • Specifications given by the designer: • Light source(s) position(s) • Light source(s) physical properties If the scene doesn’t agree the designer Rendering Scene

  3. Inverse Lighting Process • Data: • Scene Geometry • Material properties designer‘idea of lighting • Inverse Lighting Method computing: • Possible light source(s) position(s) • Possible light source(s) properties Rendering Scenes

  4. Finding the Light Source Positions Potential light source positions found by a Monte Carlo method Patches to light

  5. Finding the Light Source Positions • Reducing the number of potential light sources with: • A heuristic using form factors computed in radiosity • Constraining the lights to be at the ceiling

  6. Example of solution found The patches to be lit are painted in purple in the right picture

  7. Another example of solution found The patches to be lit are painted in purple in the right picture

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