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Titlebook: Advanced Topics in Computer Vision; Giovanni Maria Farinella,Sebastiano Battiato,Rober Book 2013 Springer-Verlag London 2013 3D Reconstruc

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期刊全称Advanced Topics in Computer Vision
影响因子2023Giovanni Maria Farinella,Sebastiano Battiato,Rober
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发行地址Presents a broad selection of cutting-edge research from internationally-recognized computer vision groups.Covers both theoretical and practical aspects of reconstruction, registration, and recognitio
学科分类Advances in Computer Vision and Pattern Recognition
图书封面Titlebook: Advanced Topics in Computer Vision;  Giovanni Maria Farinella,Sebastiano Battiato,Rober Book 2013 Springer-Verlag London 2013 3D Reconstruc
影响因子This book presents a broad selection of cutting-edge research, covering both theoretical and practical aspects of reconstruction, registration, and recognition. The text provides an overview of challenging areas and descriptions of novel algorithms. Features: investigates visual features, trajectory features, and stereo matching; reviews the main challenges of semi-supervised object recognition, and a novel method for human action categorization; presents a framework for the visual localization of MAVs, and for the use of moment constraints in convex shape optimization; examines solutions to the co-recognition problem, and distance-based classifiers for large-scale image classification; describes how the four-color theorem can be used for solving MRF problems; introduces a Bayesian generative model for understanding indoor environments, and a boosting approach for generalizing the k-NN rule; discusses the issue of scene-specific object detection, and an approach for making temporal super resolution video.
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Sumitha Banu Jamaldheen,Arun Goyald-based), where any suited online learner can be applied. In our case we demonstrate the proposed approaches for different applications and scenarios, clearly showing their benefits compared to generic methods.
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Political Impacts of Biorefinery,en visual data by intra-layer expansion and inter-layer merge. We demonstrate the effectiveness of this approach on identical object detection, image retrieval, symmetry detection, and action recognition. These applications will validate the usefulness of co-recognition to several vision problems.
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Political Impacts of Biorefinery,equires only few labels while simultaneously making use of the vast amount of images available today. In this chapter, we outline the main challenges of semi-supervised object recognition, we review existing approaches, and we emphasize open issues that should be addressed next to advance this research topic.
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