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Titlebook: Articulated Motion and Deformable Objects; 10th International C Francisco José Perales,Josef Kittler Conference proceedings 2018 Springer I

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期刊全稱Articulated Motion and Deformable Objects
期刊簡稱10th International C
影響因子2023Francisco José Perales,Josef Kittler
視頻videohttp://file.papertrans.cn/162/161986/161986.mp4
學科分類Lecture Notes in Computer Science
圖書封面Titlebook: Articulated Motion and Deformable Objects; 10th International C Francisco José Perales,Josef Kittler Conference proceedings 2018 Springer I
影響因子This book constitutes the refereed proceedings of the 10th International?Conference on Articulated Motion and Deformable Objects, AMDO 2018, held?in Palma de Mallorca, Spain, in July 2018..The 12 papers presented were carefully reviewed and selected from 26?submissions. The papers address the following topics: advanced?computer graphics and immersive videogames; human modeling and?animation; human motion analysis and tracking; 3D human reconstruction?and recognition; multimodal user interaction and applications;?ubiquitous and social computing; design tools; input technology;?programming user interfaces; 3D medical deformable models and?visualization; deep learning methods for computer vision and graphics; and multibiometric..
Pindex Conference proceedings 2018
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Sweta Raian-Rankin,Mark Tomlinsond in DNNs is to design more complex architectures, the computation time in low-resource devices increases dramatically due to their low memory capabilities. Moreover, the physical memory used to store the network parameters augments with its complexity, hindering a feasible model to be deployed in t
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Ellen Ernst Kossek,Ariane Ollier-Malaterrea VR environment. To this end we introduce an image-based scanning approach with an initial focus on a monocular (handheld) capturing device such as a portable camera. Poses of the camera will be estimated with a Simultaneous Localisation and Mapping technique. Depending on the required quality offl
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are now widely spread for such tasks and have reached higher detection accuracies than previously manually-designed approaches. Our paper reports how preprocessing and face image alignment influence accuracy scores when detecting face attributes. More importantly it demonstrates how the combination
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