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    Improving Shadow Map Filtering with Statistical Analysis
    (The Eurographics Association, 2011) Gumbau, Jesus; Szirmay-Kalos, László; Sbert, Mateu; Sellés, Miguel Chover; N. Avis and S. Lefebvre
    Shadow maps are widely used in real-time applications. Shadow maps cannot be filtered linearly as regular textures, thus undersampling leads to severe aliasing. This problem has been attacked by methods that transform the depth values to allow approximate linear filtering and to approaches based on statistical analysis, which suffer from light bleeding artifacts. In this paper we propose a new statistical filtering method for shadow maps, which approximates the cumulative distribution function (CDF) of depths with a power function. This approximation significantly reduces light bleeding artifacts, maintaining performance and spatial costs. Like existing techniques, the algorithm is easy to implement on the graphics hardware and is fairly scalable.
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    Efficient Feature-preserving Local Projection Operator for Geometry Reconstruction
    (The Eurographics Association, 2011) Liao, Bin; Xiao, Chunxia; Jin, Liqiang; N. Avis and S. Lefebvre
    This paper proposes an efficient and feature-preserving locally optimal projection operator (FLOP) for geometry reconstruction. We first develop a bilateral weighted local optimal projection operator. We then present a novel fast FLOP operator based on random sampling of Kernel Density Estimate (KDE), which greatly accelerates FLOP. The experimental results show that the proposed algorithms are efficient and robust for feature-preserving geometry reconstruction.