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Titlebook: Computer Animation and Social Agents; 33rd International C Feng Tian,Xiaosong Yang,Jian Chang Conference proceedings 2020 Springer Nature S

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書(shū)目名稱Computer Animation and Social Agents
副標(biāo)題33rd International C
編輯Feng Tian,Xiaosong Yang,Jian Chang
視頻videohttp://file.papertrans.cn/234/233471/233471.mp4
叢書(shū)名稱Communications in Computer and Information Science
圖書(shū)封面Titlebook: Computer Animation and Social Agents; 33rd International C Feng Tian,Xiaosong Yang,Jian Chang Conference proceedings 2020 Springer Nature S
描述This book constitutes the revised selected papers of the 33rd International Conference on Computer Animation and Social Agents, CASA 2020, held in Bournemouth, UK*, in October 2020..The 1 full paper and 13 short papers presented were carefully reviewed and selected from a total of 86 submissions. The papers are organized in topical sections of?modelling, animation and simulation;?virtual reality;?image processing and computer vision..*The conference was held virtually due to the COVID-19 pandemic..
出版日期Conference proceedings 2020
關(guān)鍵詞artificial intelligence; computer systems; computer vision; engineering; face recognition; Human-Computer
版次1
doihttps://doi.org/10.1007/978-3-030-63426-1
isbn_softcover978-3-030-63425-4
isbn_ebook978-3-030-63426-1Series ISSN 1865-0929 Series E-ISSN 1865-0937
issn_series 1865-0929
copyrightSpringer Nature Switzerland AG 2020
The information of publication is updating

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Energy levels for Li-4 (Lithium-4),her a specific clothing is fit to body when doing actions. The proposed method accepts automatically predicting the points on 3D human models with scale transformation and even partial loss. A wide variety of experiments are conducted in which the method proved to achieve a significant result for anthropometric measurement in motion.
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Energy levels for Li-4 (Lithium-4),ents. The results indicate that our stimuli are overall convincing, even for long video sequences. Furthermore, we partially annotate the dataset with noticeable facial distortions and artifacts reported by participants.
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Efficient Metaballs-Based Collision Detection for VR Neurosurgery Simulation on GPUe surgical instrument and metaballs. Our framework is built on the parallel computation architecture of CUDA, and thus can afford interactive performance on a commodity desktop. To illustrate the effectiveness, the above techniques have all been integrated into a VR-based ventriculoscopic surgery simulator.
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