A multiresolution spline with application to image mosaics
ACM Transactions on Graphics (TOG)
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High-Quality Texture Reconstruction from Multiple Scans
IEEE Transactions on Visualization and Computer Graphics
ACM SIGGRAPH 2003 Papers
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PG '03 Proceedings of the 11th Pacific Conference on Computer Graphics and Applications
Jump flooding in GPU with applications to Voronoi diagram and distance transform
I3D '06 Proceedings of the 2006 symposium on Interactive 3D graphics and games
Multiple color texture map fusion for 3D models
Pattern Recognition Letters
Improved color acquisition and mapping on 3D models via flash-based photography
Journal on Computing and Cultural Heritage (JOCCH)
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VAST'04 Proceedings of the 5th International conference on Virtual Reality, Archaeology and Intelligent Cultural Heritage
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VAST'09 Proceedings of the 10th International conference on Virtual Reality, Archaeology and Cultural Heritage
SPBG'04 Proceedings of the First Eurographics conference on Point-Based Graphics
Proceedings of the 17th International Conference on 3D Web Technology
Proceedings of the 18th International Conference on 3D Web Technology
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We present an efficient scalable streaming technique for mapping highly detailed color information on extremely dense point clouds. Our method does not require meshing or extensive processing of the input model, works on a coarsely spatially reordered point stream, and can adaptively refine point cloud geometry on the basis of image content. Seamless multiband image blending is obtained by using GPU-accelerated screen-space operators, which solve point set visibility, compute a per-pixel view-dependent weight, and ensure a smooth weighting function over each input image. The proposed approach works independently on each image in a memory-coherent manner, and can be easily extended to include further image-quality estimators. The effectiveness of the method is demonstrated on a series of massive real-world point datasets.