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Regularized Optimization Methods for Reconstruction and Modeling in Computer Graphics

regularized optimization problem, in which a data term ensures consistency between model and data and a regularization term promotes solutions that;

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Regularized Image Reconstruction in Parallel MRI with MATLAB

and artifacts. Apart from providing a detailed overview and implementation details of various pMRI reconstruction methods, Regularized image;

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Optimization Techniques in Computer Vision

wide variety of theories for image processing and computer vision. Various optimization techniques are used at different levels for these;

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Scale Space and Variational Methods in Computer Vision

Reconstruction; Segmentation; Convex and Non-Convex Modeling and Optimization in Imaging; Optical Flow, Motion Estimation and Registration; 3D Vision.;

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Digital Representations of the Real World

graphics methods, and computer vision algorithms. It explores the integration of new capture modalities, reconstruction approaches, and visual;

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Mathematical Optimization in Computer Graphics and Vision

today. Distills down a vast and complex world of information on optimization into one short, self-contained volume especially for;

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Articulated Motion and Deformable Objects

submissions. The conference dealt with the following topics: advanced computer graphics and immersive videogames; human modeling and animation; human;

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An Integrated Introduction to Computer Graphics and Geometric Modeling

Taking a novel, more appealing approach than current texts, An Integrated Introduction to Computer Graphics and Geometric Modeling focuses;

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An Integrated Introduction to Computer Graphics and Geometric Modeling

Taking a novel, more appealing approach than current texts, An Integrated Introduction to Computer Graphics and Geometric Modeling focuses;

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Material Appearance Modeling: A Data-Coherent Approach

believe that coherency-based appearance modeling will make it easier and more feasible for practitioners to bring computer graphics imagery to;

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Modeling, Simulation and Optimization of Bipedal Walking

motions for different objective functions Identification of objective functions from measurements Simulation and optimization approaches for;

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Computer Graphics and Geometric Modeling

This is a book for those interested in understanding how graphics programs work and how present-day computer graphics can generate;

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Bayesian Optimization with Application to Computer Experiments

computer experiments. R code is available as online supplementary material for most included examples, so that readers can better comprehend and;

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Approximation and Modeling with B-Splines

B-splines are fundamental to approximation and data fitting, geometric modeling, automated manufacturing, computer graphics, and numerical;

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Reduced Order Methods for Modeling and Computational Reduction

in computational mechanics, bioengineering and computer graphics. Several topics are covered, including: design, optimization, and control theory;

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Computer-Graphic Facial Reconstruction

remains--using computer-graphic and computational means.Computer-Graphic Facial Reconstruction is designed as a valuable resource for;

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Recent Advances in 3D Imaging, Modeling, and Reconstruction

3D image reconstruction is used in many fields, such as medicine, entertainment, and computer science. This highly demanded process comes;

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Recent Advances in 3D Imaging, Modeling, and Reconstruction

3D image reconstruction is used in many fields, such as medicine, entertainment, and computer science. This highly demanded process comes;

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Advances in Photometric 3D Reconstruction

in the field, and of the latest research into both the theoretical foundations of photometric 3D reconstruction and its practical application;

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Advances in Photometric 3D-Reconstruction

in the field, and of the latest research into both the theoretical foundations of photometric 3D reconstruction and its practical application;

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Mathematical Modeling and Optimization of Complex Structures

optimization methods. The papers are based upon talks presented on the International Conference for Mathematical Modeling and Optimization in Mechanics;

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Optimization for Machine Learning

such as regularized optimization, robust optimization, gradient and subgradient methods, splitting techniques, and second-order methods. Many;

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Advances in Visual Computing

bioimaging; computer graphics; motion and tracking; segmentation; pattern recognition; visualization; 3D mapping; modeling and surface reconstruction;

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Advances in Visual Computing

reconstruction; advancing autonomy for aerial robotics; medical imaging; virtual reality; observing humans; spectral imaging and processing; intelligent;

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Advances in Visual Computing

bioimaging; computer graphics; motion and tracking; segmentation; pattern recognition; visualization; 3D mapping; modeling and surface reconstruction;

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Advances in Visual Computing

reconstruction; advancing autonomy for aerial robotics; medical imaging; virtual reality; observing humans; spectral imaging and processing;

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Mathematical Basics of Motion and Deformation in Computer Graphics

guidepost to mathematics (differential geometry and Lie theory) for students of geometric modeling and animation in computer graphics. Experienced;

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