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Titlebook: Advances in Visual Computing; 11th International S George Bebis,Richard Boyle,Gunther Weber Conference proceedings 2015 Springer Internatio

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A Computer Vision System for Automatic Classification of Most Consumed Brazilian Beansamber and a camera, to simulate an industrial line of production. The results obtained in the experiments indicate that proposed system could be used to support the visual quality inspection of Brazilian beans.
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Guided High-Quality Rendering generation and distribution of rendering tasks on the GPU that allows for altering the sampling density over the image plane. Moreover, we present a prototypical approach for filtering the newly, possibly sparse samples to a final image. Finally, we show how large-scale display systems can benefit from rendering with ROIs.
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Many-Lights Real Time Global Illumination Using Sparse Voxel Octrees an efficient Sparse Voxel Octree (SVO) ray marching algorithm for visibility tests instead of the shadow map generation step of the many-lights algorithm. Our technique achieves high rendering fidelity at about 50 FPS, is highly scalable and can support thousands of VPLs generated on the fly.
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Landscape Genetics in the Neotropicsimage guided by the input image. Finally, the refined high-resolution gradients are fed into a uniform energy function to recover the final output. Extensive experiments demonstrate that our framework outperforms the recent state-of-the-art single image super-resolution approaches both quantitatively and qualitatively.
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Conservation Genetics in the Neotropicsuild the average motion model (AMM), and the remainder are used for the evaluation. The accuracy of habit detection in the proposed system is shown to have a precision of 84.0 . and a recall of 81.8 ..
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