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Image-based Reconstruction and Modeling of Geometry with Complex Reflectance in Non-diffusive Media

2007
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Release : 2007
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Kind : eBook
Book Rating : 856/5 ( reviews)

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Book Synopsis Image-based Reconstruction and Modeling of Geometry with Complex Reflectance in Non-diffusive Media by : Sebastian Magda

Download or read book Image-based Reconstruction and Modeling of Geometry with Complex Reflectance in Non-diffusive Media written by Sebastian Magda. This book was released on 2007. Available in PDF, EPUB and Kindle. Book excerpt: Reconstruction and modeling of 3-D geometry are among the core issues in computer vision. While geometry composed of radiometrically simple materials is currently relatively easy to reconstruct and model, geometry with complex reflectance properties presents a substantial challenge. The research work presented here is an investigation of this problem. Two methods are proposed that are specifically designed to handle geometry with complex photometric properties.

Dissertation Abstracts International

2008 Dissertations, Academic
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Release : 2008
Genre : Dissertations, Academic
Kind : eBook
Book Rating : /5 ( reviews)

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Book Synopsis Dissertation Abstracts International by :

Download or read book Dissertation Abstracts International written by . This book was released on 2008. Available in PDF, EPUB and Kindle. Book excerpt:

The 3rd European Conference on Visual Media Production (CVMP 2006)

2006 Art
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Release : 2006
Genre : Art
Kind : eBook
Book Rating : /5 ( reviews)

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Book Synopsis The 3rd European Conference on Visual Media Production (CVMP 2006) by :

Download or read book The 3rd European Conference on Visual Media Production (CVMP 2006) written by . This book was released on 2006. Available in PDF, EPUB and Kindle. Book excerpt:

Image-Based Modeling

2010-07-10 Computers
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Release : 2010-07-10
Genre : Computers
Kind : eBook
Book Rating : 79X/5 ( reviews)

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Book Synopsis Image-Based Modeling by : Long Quan

Download or read book Image-Based Modeling written by Long Quan. This book was released on 2010-07-10. Available in PDF, EPUB and Kindle. Book excerpt: “This book guides you in the journey of 3D modeling from the theory with elegant mathematics to applications with beautiful 3D model pictures. Written in a simple, straightforward, and concise manner, readers will learn the state of the art of 3D reconstruction and modeling.” —Professor Takeo Kanade, Carnegie Mellon University The computer vision and graphics communities use different terminologies for the same ideas. This book provides a translation, enabling graphics researchers to apply vision concepts, and vice-versa, independence of chapters allows readers to directly jump into a specific chapter of interest, compared to other texts, gives more succinct treatment overall, and focuses primarily on vision geometry. Image-Based Modeling is for graduate students, researchers, and engineers working in the areas of computer vision, computer graphics, image processing, robotics, virtual reality, and photogrammetry.

Computational Diffusion MRI

2020-11-06 Mathematics
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Release : 2020-11-06
Genre : Mathematics
Kind : eBook
Book Rating : 936/5 ( reviews)

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Book Synopsis Computational Diffusion MRI by : Elisenda Bonet-Carne

Download or read book Computational Diffusion MRI written by Elisenda Bonet-Carne. This book was released on 2020-11-06. Available in PDF, EPUB and Kindle. Book excerpt: This volume gathers papers presented at the Workshop on Computational Diffusion MRI (CDMRI 2019), held under the auspices of the International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), which took place in Shenzhen, China on October 17, 2019. This book presents the latest advances in the rapidly expanding field of diffusion MRI. It shares new perspectives on the latest research challenges for those currently working in the field, but also offers a valuable starting point for anyone interested in learning about computational techniques in diffusion MRI. The book includes rigorous mathematical derivations, a wealth of rich, full-colour visualisations and extensive clinically relevant results. As such, it will be of interest to researchers and practitioners in the fields of computer science, MRI physics and applied mathematics. Readers will find contributions covering a broad range of topics, from the mathematical foundations of the diffusion process and signal generation, to new computational methods and estimation techniques for the in vivo recovery of microstructural and connectivity features, as well as diffusion-relaxometry and frontline applications in research and clinical practice. This edition includes invited works from high-profile researchers with a specific focus on three new and important topics that are gaining momentum within the diffusion MRI community, including diffusion MRI signal acquisition and processing strategies, machine learning for diffusion MRI, and diffusion MRI outside the brain and clinical applications.

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