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Titlebook: Computer Vision - ECCV 2014 Workshops; Zurich, Switzerland, Lourdes Agapito,Michael M. Bronstein,Carsten Rothe Conference proceedings 2015

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發(fā)表于 2025-3-23 12:40:36 | 只看該作者
https://doi.org/10.1007/978-94-009-9284-9d tomography images of plants grown in soil. Our method is based on a level set framework guided by a greyscale intensity distribution model to identify object boundaries in image cross-sections. Root objects are followed through the data volume, while updating the tracker’s appearance models to ada
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發(fā)表于 2025-3-23 15:09:02 | 只看該作者
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發(fā)表于 2025-3-23 21:53:05 | 只看該作者
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發(fā)表于 2025-3-23 23:10:54 | 只看該作者
https://doi.org/10.5822/978-1-61091-854-1or of root in elongation is coupled to a simulator of the image acquisition to generate images of simulated seedling associated with a known synthetic ground truth. We detail how acquisition parameters of the seedling and parameters of the imaging systems are estimated and combined to produce realis
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發(fā)表于 2025-3-24 02:42:29 | 只看該作者
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發(fā)表于 2025-3-24 12:34:02 | 只看該作者
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發(fā)表于 2025-3-24 16:15:33 | 只看該作者
The Current State of Macroeconomicsterior, the other from the border. The histogrammed?local features are an improved version of a recently proposed rotation and scale invariant descriptor based on local binary patterns (LBPs)..Describing the leaf with multi-scale histograms of rotationally invariant features derived from sign- and m
19#
發(fā)表于 2025-3-24 21:53:47 | 只看該作者
Professor Lawrence J. Christianohe leaf veins and measure several multiscale morphological features on the vein segments and the areoles. Next, we build a hybrid consensus of experts formed by five different automatic classifiers?to perform the classification using the extracted features. We propose to use two strategies in order
20#
發(fā)表于 2025-3-25 02:32:22 | 只看該作者
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