Advances In Photometric 3d Reconstruction

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Advances In Photometric 3d Reconstruction

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Author : Jean-Denis Durou
language : en
Publisher: Springer Nature
Release Date : 2020-09-16

Advances In Photometric 3d Reconstruction written by Jean-Denis Durou and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-09-16 with Computers categories.

This book presents the latest advances in photometric 3D reconstruction. It provides the reader with an overview of the state of the art in the field, and of the latest research into both the theoretical foundations of photometric 3D reconstruction and its practical application in several fields (including security, medicine, cultural heritage and archiving, and engineering). These techniques play a crucial role within such emerging technologies as 3D printing, since they permit the direct conversion of an image into a solid object. The book covers both theoretical analysis and real-world applications, highlighting the importance of deepening interdisciplinary skills, and as such will be of interest to both academic researchers and practitioners from the computer vision and mathematical 3D modeling communities, as well as engineers involved in 3D printing. No prior background is required beyond a general knowledge of classical computer vision models, numerical methods for optimization, and partial differential equations.

Advances In Visual Computing

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Author : Richard Boyle
language : en
Publisher: Springer
Release Date : 2010-11-19

Advances In Visual Computing written by Richard Boyle and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-11-19 with Computers categories.

It is with great pleasure that we present the proceedings of the 6th Inter- tional, Symposium on Visual Computing (ISVC 2010), which was held in Las Vegas, Nevada. ISVC provides a common umbrella for the four main areas of visual computing including vision, graphics, visualization, and virtual reality. The goal is to provide a forum for researchers, scientists, engineers, and pr- titioners throughout the world to present their latest research ?ndings, ideas, developments, and applications in the broader area of visual computing. This year, the program consisted of 14 oral sessions, one poster session, 7 special tracks, and 6 keynote presentations. The response to the call for papers was very good; we received over 300 submissions for the main symposium from which we accepted 93 papers for oral presentation and 73 papers for poster p- sentation. Special track papers were solicited separately through the Organizing and Program Committees of each track. A total of 44 papers were accepted for oral presentation and 6 papers for poster presentation in the special tracks.

Recent Advances In 3d Imaging Modeling And Reconstruction

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Author : Voulodimos, Athanasios
language : en
Publisher: IGI Global
Release Date : 2020-02-28

Recent Advances In 3d Imaging Modeling And Reconstruction written by Voulodimos, Athanasios and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-02-28 with Computers categories.

3D image reconstruction is used in many fields, such as medicine, entertainment, and computer science. This highly demanded process comes with many challenges, such as images becoming blurry by atmospheric turbulence, getting snowed with noise, or becoming damaged within foreign regions. It is imperative to remain well-informed with the latest research in this field. Recent Advances in 3D Imaging, Modeling, and Reconstruction is a collection of innovative research on the methods and common techniques of image reconstruction as well as the accuracy of these methods. Featuring coverage on a wide range of topics such as ray casting, holographic techniques, and machine learning, this publication is ideally designed for graphic designers, computer engineers, medical professionals, robotics engineers, city planners, game developers, researchers, academicians, and students.

Advances In Deep Learning And Computer Vision

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Author : Dr. Jagadeesh Kumar
language : en
Publisher: Xoffencerpublication
Release Date : 2024-12-18

Advances In Deep Learning And Computer Vision written by Dr. Jagadeesh Kumar and has been published by Xoffencerpublication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-18 with Computers categories.

Computer Vision (CV) can be defined as “the hypothesis and innovation for building artificial frameworks that acquire data from pictures or multi-dimensional information.” A more straightforward clarification is that computer vision endeavors to take care of similar issues you can unravel with your own one of kind eyes. For instance, in case you're driving and you see a kid run into the street, your mind will rapidly translate the kid in the street in front of you, that it's perilous, and that you ought to quickly brake to abstain from hitting the kid. That is one of the issues self-driving vehicle engineers are presently striving to comprehend by the methods of computer vision. The method requires being competent of realizing object recognition, which can be subdivided into three varieties: object classification, identification, and detection. Object Classification is everywhere you have a little recently learned objects that you need to have the option to perceive in a picture. Characterizing a representation photograph as having individual's face in it is a model object classification, arranged that this photograph contains a face in it. Object Identification is the recognition of a specific instance of an object. For example, being able to identify that there are two faces in an image and that one is John and the other is Sarah is an example of object identification. Object Detection is the ability to identify that there’s an object in an image. This is typically used for things like automatic toll roads where you want to know when a new object has entered the frame so you can take a scan the license plate. Connecting this to the self-driving car problem, if you think to how the human brain would solve this problem, it would have to answer the same questions: In order for the situation to be dangerous, we would have to both identify that there is a child (object) in or approaching the road. Identify that the child in the road is something that we should avoid. You would also want to identify other objects, like trash, soccer ball, bike, etc., where you don’t necessarily need evasive action. In other words, Computer Vision is the field of study that seeks to develop techniques to help computers “see” and understand the content of digital images such as photographs and videos. The problem of computer vision appears simple because it is trivially solved by people, even very young children. Nevertheless, it largely remains an unsolved problem based both on the limited understanding of biological vision and because of the complexity of vision perception in a dynamic and nearly infinitely varying physical world.

Computer Vision Eccv 2022

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Author : Shai Avidan
language : en
Publisher: Springer Nature
Release Date : 2022-10-22

Computer Vision Eccv 2022 written by Shai Avidan and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-10-22 with Computers categories.

The 39-volume set, comprising the LNCS books 13661 until 13699, constitutes the refereed proceedings of the 17th European Conference on Computer Vision, ECCV 2022, held in Tel Aviv, Israel, during October 23–27, 2022. The 1645 papers presented in these proceedings were carefully reviewed and selected from a total of 5804 submissions. The papers deal with topics such as computer vision; machine learning; deep neural networks; reinforcement learning; object recognition; image classification; image processing; object detection; semantic segmentation; human pose estimation; 3d reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; object recognition; motion estimation.

Advances In Data Driven Computing And Intelligent Systems

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Author : Jagdish Chand Bansal
language : en
Publisher: Springer Nature
Release Date : 2025-07-26

Advances In Data Driven Computing And Intelligent Systems written by Jagdish Chand Bansal and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-26 with Technology & Engineering categories.

This book is a collection of best-selected research papers presented at the International Conference on Advances in Data-driven Computing and Intelligent Systems (ADCIS 2024) held at BITS Pilani, K K Birla Goa Campus, Goa, India, during September 20–21, 2024. It includes state-of-the-art research work in the cutting-edge technologies in the field of data science and intelligent systems. The book presents data-driven computing; it is a new field of computational analysis which uses provided data to directly produce predictive outcomes. The book is useful for academicians, research scholars, and industry persons.

Advances In Visual Computing

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Author : George Bebis
language : en
Publisher: Springer
Release Date : 2012-08-22

Advances In Visual Computing written by George Bebis and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-08-22 with Computers categories.

The two volume set LNCS 7431 and 7432 constitutes the refereed proceedings of the 8th International Symposium on Visual Computing, ISVC 2012, held in Rethymnon, Crete, Greece, in July 2012. The 68 revised full papers and 35 poster papers presented together with 45 special track papers were carefully reviewed and selected from more than 200 submissions. The papers are organized in topical sections: Part I (LNCS 7431) comprises computational bioimaging; computer graphics; calibration and 3D vision; object recognition; illumination, modeling, and segmentation; visualization; 3D mapping, modeling and surface reconstruction; motion and tracking; optimization for vision, graphics, and medical imaging, HCI and recognition. Part II (LNCS 7432) comprises topics such as unconstrained biometrics: advances and trends; intelligent environments: algorithms and applications; applications; virtual reality; face processing and recognition.

Advances In Geomechanics Research And Application For Deep Unconventional Reservoirs

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Author : Peng Tan
language : en
Publisher: Frontiers Media SA
Release Date : 2024-11-11

Advances In Geomechanics Research And Application For Deep Unconventional Reservoirs written by Peng Tan and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-11 with Technology & Engineering categories.

Deep unconventional oil and gas reservoirs (such as shale oil/gas, tight oil/gas, coalbed methane (CBM), oil shale, etc.) are commonly characterized by geological and structural complexity, increased formation temperature and pressure, and complex in-situ stress fields. Geomechanics research is helpful to understand the in-situ stress of complex structures, faults and natural fracture systems in deep blocks. Field practice shows that insufficient geomechanics understanding can easily result in low drilling efficiency, long construction period, frequent occurrence of complex situations, and unsatisfactory fracturing effects. In recent years, geomechanics applied to drilling, completion, hydraulic fracturing, and production in unconventional reservoirs has achieved great progress, producing various advanced experimental and numerical approaches and applications. However, as the buried depth increases, the complicated geology conditions make it more and more difficult for the engineering reconstructions, which poses a great threat to the efficient development of deep resources. New knowledge and understandings of geomechanics are urgently needed to guide the development of unconventional oil/gas reservoirs, and the related theory, experiment and simulation studies are rapidly developing.

Advances In Emerging Trends And Technologies

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Author : Miguel Botto-Tobar
language : en
Publisher: Springer Nature
Release Date : 2019-10-12

Advances In Emerging Trends And Technologies written by Miguel Botto-Tobar and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-10-12 with Technology & Engineering categories.

This book constitutes the proceedings of the 1st International Conference on Advances in Emerging Trends and Technologies (ICAETT 2019), held in Quito, Ecuador, on 29–31 May 2019, jointly organized by Universidad Tecnológica Israel, Universidad Técnica del Norte, and Instituto Tecnológico Superior Rumiñahui, and supported by SNOTRA. ICAETT 2019 brought together top researchers and practitioners working in different domains of computer science to share their expertise and to discuss future developments and potential collaborations. Presenting high-quality, peer-reviewed papers, the book discusses the following topics: Technology Trends Electronics Intelligent Systems Machine Vision Communication Security e-Learning e-Business e-Government and e-Participation

Mathematical Methods For Objects Reconstruction

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Author : Emiliano Cristiani
language : en
Publisher: Springer Nature
Release Date : 2023-07-31

Mathematical Methods For Objects Reconstruction written by Emiliano Cristiani and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-07-31 with Mathematics categories.

The volume collects several contributions to the INDAM workshop Mathematical Methods for Objects Reconstruction: from 3D Vision to 3D Printing held in Rome, February, 2021. The goal of the workshop was to discuss new methods and conceptual structures for managing these challenging problems. The chapters reflect this goal and the authors are academic researchers and some experts from industry working in the areas of 3D modeling, computer vision, 3D printing and/or developing new mathematical methods for these problems. The contributions present methodologies and challenges raised by the emergence of large-scale 3D reconstruction applications and low-cost 3D printers. The volume collects complementary knowledges from different areas of mathematics, computer science and engineering on research topics related to 3D printing, which are, so far, widely unexplored. Young researchers and future scientific leaders in the field of 3D data acquisition, 3D scene reconstruction, and 3D printing software development will find an excellent introduction to these problems and to the mathematical techniques necessary to solve them.