Shacked, R.; Lischinski, D.; Automatic Lighting Design using a Perceptual Quality Metric; EUROGRAPHICS Proceedings; EUROGRAPHICS 2001.  Home/Search   Document Details and Download   Summary   Related Articles   Check

....views as selected by his method were discarded by them due to the fact that they presented too large specular regions. With the results of the study he has improved the method taking into account their comments. Some fast methods for light positioning are also presented. Shacked and Lischinski [18] propose a quality function formed by six terms that are weighted by the user. Their system optimizes these parameters based on a perceptual quality metric. Their objective is to e#ectively communicating information on the scene: shapes, materials, and their relationships. The quality metric they ....

....of polygons. We have also implemented a software renderer which uses Phong lighting. Initially, the object is projected and the depth bu#er is read. Then, the illumination calculations are performed only on these captured pixels. This results in a reduction of 4:1 in computation time. As seen in [18], it is di#cult to visually evaluate the quality of a rendering. On the other hand, the optizimed images with their method also yield high values of illumination entropy with our system, with the advantage that we do not need a preprocess of calibration and di#erent tuning for each model or view. ....

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R. Shacked and D. Lischinski. Automatic lighting design using a perceptual quality metric. In Computer Graphics Forum (Proceedings of Eurographics 2001),vol- ume 20, pages C--215--C--226, September 2001.

....the user by optimization software. In most situation, this would prove impossible because of the difficulty to translate and solve for artistic goals. Moreover, many users want to keep control of the process. However, there are cases where software optimization proves useful, e.g. AS01, GRMS01, SL01, Hau01, KS00, GFMS95, Her01] Our argument is at a more philosophical level: We need to recognize the complexity of the depiction problem and its optimization dimension in order to develop relevant solutions. There are essentially three strategies to solve this optimization problem: The user ....

....parameter space, and presents a choice to the user based on the secondary characteristics of the output [MAB 97] If the computer solves the optimization: Define the energy function. This involves cognitive psychology and understanding of traditional techniques, e.g. SF91, HCS96, AS01, SL01] The traditional optimization issue: exploration of a highly non linear parameter space. This ties up with the need for predictable and uniform parameter spaces. The general case is mixed. The computer has to take decisions automatically, but the user wants to keep some control and ....

R. Shacked and D. Lischinski. Automatic lighting design using a perceptual quality metric. Computer Graphics Forum, 20(3):215--226, 2001.

....the user by optimization software. In most situation, this would prove impossible because of the difficulty to translate and solve for artistic goals. Moreover, many users want to keep control of the process. However, there are cases where software optimization proves useful, e.g. AS01, GRMS01, SL01, Hau01, KS00] Our argument is at a more philosophical level: we need to recognize the complexity of the depiction problem and its optimization dimension in order to develop relevant solutions. There are essentially three strategies to solve this optimization problem: the user can solve it, ....

....or tone mapping, e.g. Tum99] Speed up the internal loop to provide faster feedback to the user, e.g. GKR95, GH00] If the computer solves the optimization: Define the energy function. This involves cognitive psychology and understanding of traditional techniques, e.g. SF91, HCS96, AS01, SL01] The traditional optimization issue: exploration of a highly non linear parameter space. The general case is mixed. The computer has to take decisions automatically, but the user wants to keep some control and influence the decisions. This is for example one of the exciting issues raised by ....

R. Shacked and D. Lischinski. Automatic lighting design using a perceptual quality metric. Computer Graphics Forum, 20(3):215--226, 2001.

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Shacked, R.; Lischinski, D.; Automatic Lighting Design using a Perceptual Quality Metric; EUROGRAPHICS Proceedings; EUROGRAPHICS 2001.

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