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Titlebook: Deformation Models; Tracking, Animation Manuel González Hidalgo,Arnau Mir Torres,Javier Va Book 2013 Springer Science+Business Media Dordr

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書(shū)目名稱(chēng)Deformation Models
副標(biāo)題Tracking, Animation
編輯Manuel González Hidalgo,Arnau Mir Torres,Javier Va
視頻videohttp://file.papertrans.cn/265/264829/264829.mp4
概述Brings together one topic from three points of view: deformation viewed from the perspectives of computer vision, computer graphics and real-world applications.Unique mix of theory and applications re
叢書(shū)名稱(chēng)Lecture Notes in Computational Vision and Biomechanics
圖書(shū)封面Titlebook: Deformation Models; Tracking, Animation  Manuel González Hidalgo,Arnau Mir Torres,Javier Va Book 2013 Springer Science+Business Media Dordr
描述.The computational modelling of deformations has been actively studied for the last thirty years. This is mainly due to its large range of applications that include computer animation, medical imaging, shape estimation, face deformation as well as other parts of the human body, and object tracking. In addition, these advances have been supported by the evolution of computer processing capabilities, enabling realism in a more sophisticated way.?This book encompasses relevant works of expert researchers in the field of deformation models and their applications. ?The book is divided into two main parts. The first part presents recent object deformation techniques from the point of view of computer graphics and computer animation. The second part of this book presents six works that study deformations from a computer vision point of view with a common characteristic: deformations are applied in real world applications.?The primary audience for this work are researchers from different multidisciplinary fields, such as those related with Computer Graphics, Computer Vision, Computer Imaging, Biomedicine, Bioengineering, Mathematics, Physics, Medical Imaging and Medicine..
出版日期Book 2013
關(guān)鍵詞Computer graphics; Computer imaging; Computer vision; Deformation models; Shape modeling; Shape tracking
版次1
doihttps://doi.org/10.1007/978-94-007-5446-1
isbn_softcover978-94-024-0585-9
isbn_ebook978-94-007-5446-1Series ISSN 2212-9391 Series E-ISSN 2212-9413
issn_series 2212-9391
copyrightSpringer Science+Business Media Dordrecht 2013
The information of publication is updating

書(shū)目名稱(chēng)Deformation Models影響因子(影響力)




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Jozef Rovensky,Juraj Payer,Manfred Heroldts of the strain tensor. The results were combined to investigate the dependencies of these errors on the experimental and signal-processing parameters as well as to determine the effects of one strain component on the estimation of the other. The expressions were evaluated for special cases of axia
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Book 2013 in real world applications.?The primary audience for this work are researchers from different multidisciplinary fields, such as those related with Computer Graphics, Computer Vision, Computer Imaging, Biomedicine, Bioengineering, Mathematics, Physics, Medical Imaging and Medicine..
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A Fast Geometric Deformation Method to Adapt a Foot to a Platformesults presented evaluate the error between deformations and we validate the error of several users (foot and last). Also the low error obtained guarantees the comfort of the foot that is a very important objective in this area of research.
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Learning-Based Detection and Tracking in Medical Imaging: A Probabilistic Approachode the domain knowledge in shape models and motion models and to learn discriminative image classifiers for the target appearance. The framework robustly fuses the prior information with traditional tracking approaches based on template matching and registration. We demonstrate various medical imag
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A Supervised Graph-Cut Deformable Model for Brain MRI Segmentationnd supervised energies based on contextual brain structures are added. Furthermore, boundary detection is reinforced using a new multi-scale edgeness measure. The method is applied to the segmentation of the brain caudate nucleus in a set of 39 pediatric attention-deficit/hyperactivity disorder (ADH
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