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

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Presentation on theme: "Inverse Lighting with a Monte Carlo Method Patrick Poulingeas, Vincent Jolivet, Dimitri Plemenos LMSI Equipe Modélisation et Infographie Intelligente."— Presentation transcript:

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

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

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 Scenes Rendering

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

5 Finding the Light Source Positions Reducing the number of potential light sources with: 1.A heuristic using form factors computed in radiosity 2.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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