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IEEE Transactions on Pattern Analysis and Machine Intelligence
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International Journal of Computer Vision
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International Journal of Computer Vision
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ACM SIGGRAPH Asia 2009 papers
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ROBIO'09 Proceedings of the 2009 international conference on Robotics and biomimetics
GPU-friendly multi-view stereo reconstruction using surfel representation and graph cuts
Computer Vision and Image Understanding
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Journal on Image and Video Processing - Special issue on fast and robust methods for multiple-view vision
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Computers & Mathematics with Applications
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Proceedings of the 5th High-Performance Graphics Conference
Incremental 3D reconstruction using Bayesian learning
Applied Intelligence
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This paper presents a new volumetric stereo algorithm to reconstruct the 3D shape of an arbitrary object. Our method is based on finding the minimum cut in an octahedral graph structure embedded into the volumetric grid, which establishes a well defined relationship between the integrated photo-consistency function of a region in space and the corresponding edge weights of the embedded graph. This new graph structure allows for a highly efficient hierarchical implementation supporting high volumetric resolutions and large numbers of input images. Furthermore we will show how the resulting cut surface can be directly converted into a consistent, closed and manifold mesh. Hence this work provides a complete multi-view stereo reconstruction pipeline. We demonstrate the robustness and efficiency of our technique by a number of high quality reconstructions of real objects.