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Taschenbuch. Condition: Neu. Computer Vision, Imaging and Computer Graphics Theory and Applications | 19th International Joint Conference, VISIGRAPP 2024, Rome, Italy, February 27-29, 2024, Revised Selected Papers | Thomas Bashford-Rogers (u. a.) | Taschenbuch | xxv | Englisch | 2026 | Springer | EAN 9783032076229 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book constitutes the revised selected papers of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics, VISIGRAPP 2024, held in Rome, Italy, during February 27 29, 2024.The 26 papers presented in this volume were carefully reviewed and selected from 431 submissions. The papers are categorized into the following topical sections: Computer Graphics Theory and Applications; Human Computer Interaction Theory and Applications; Information Visualization Theory and Applications; Computer Vision Theory and Applications.

Hardcover. Condition: new. Hardcover. Recovering 3D content from images has been a tremendous source of research advances, with many different focuses, targeted applications, needs, or scientific starting points. A wide range of existing approaches nowadays are employed in the industry for many considerations, including, for instance, quality in engineering production, video-based security, or 3D modeling in gaming applications or movies. Yet, reconstructing a representation of a scene observed through a camera remains a challenging aspect in general, and the specific question of producing a (static or dynamic) geometric model has led to decades of research and still corresponds to a very active scientific domain. Sensors are continuously evolving, bringing more and more accuracy, resolution, and new opportunities for reconstructing objects' shapes and/or detailed geometric variations.This second issue is dedicated to 3D reconstruction from images, for which machine learning has brought interesting reconstruction methods, with approaches such as NeRFs or Gaussian splatting. Some specific aspects are also addressed, with in-depth fundamental research, such as the management of specular surfaces or accuracy issues in underwater environments. The 11 articles published in this second edition tackle several very interesting challenges: reconstructions of objects known for their complexity, underwater environments where distortions make depth estimation difficult, interactive systems and dynamic scenes, analyses of existing reconstruction techniques, and deep learning approaches. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Hardcover. Condition: new. Hardcover. Recovering 3D content from images has been a tremendous source of research advances, with many different focuses, targeted applications, needs, or scientific starting points. A wide range of existing approaches nowadays are employed in the industry for many considerations, including, for instance, quality in engineering production, video-based security, or 3D modeling in gaming applications or movies. Yet, reconstructing a representation of a scene observed through a camera remains a challenging aspect in general, and the specific question of producing a (static or dynamic) geometric model has led to decades of research and still corresponds to a very active scientific domain. Sensors are continuously evolving, bringing more and more accuracy, resolution, and new opportunities for reconstructing objects' shapes and/or detailed geometric variations.This second issue is dedicated to 3D reconstruction from images, for which machine learning has brought interesting reconstruction methods, with approaches such as NeRFs or Gaussian splatting. Some specific aspects are also addressed, with in-depth fundamental research, such as the management of specular surfaces or accuracy issues in underwater environments. The 11 articles published in this second edition tackle several very interesting challenges: reconstructions of objects known for their complexity, underwater environments where distortions make depth estimation difficult, interactive systems and dynamic scenes, analyses of existing reconstruction techniques, and deep learning approaches. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Hardcover. Condition: new. Hardcover. Recovering 3D content from images has been a tremendous source of research advances, with many different focuses, targeted applications, needs, or scientific starting points. A wide range of existing approaches nowadays are employed in the industry for many considerations, including, for instance, quality in engineering production, video-based security, or 3D modeling in gaming applications or movies. Yet, reconstructing a representation of a scene observed through a camera remains a challenging aspect in general, and the specific question of producing a (static or dynamic) geometric model has led to decades of research and still corresponds to a very active scientific domain. Sensors are continuously evolving, bringing more and more accuracy, resolution, and new opportunities for reconstructing objects' shapes and/or detailed geometric variations.This second issue is dedicated to 3D reconstruction from images, for which machine learning has brought interesting reconstruction methods, with approaches such as NeRFs or Gaussian splatting. Some specific aspects are also addressed, with in-depth fundamental research, such as the management of specular surfaces or accuracy issues in underwater environments. The 11 articles published in this second edition tackle several very interesting challenges: reconstructions of objects known for their complexity, underwater environments where distortions make depth estimation difficult, interactive systems and dynamic scenes, analyses of existing reconstruction techniques, and deep learning approaches. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book constitutes the revised selected papers of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics, VISIGRAPP 2024, held in Rome, Italy, during February 27 29, 2024.The 26 papers presented in this volume were carefully reviewed and selected from 431 submissions. The papers are categorized into the following topical sections: Computer Graphics Theory and Applications; Human Computer Interaction Theory and Applications; Information Visualization Theory and Applications; Computer Vision Theory and Applications. 494 pp. Englisch.

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Buch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Recovering 3D content from images has been a tremendous source of research advances, with many different focuses, targeted applications, needs, or scientific starting points. A wide range of existing approaches nowadays are employed in the industry for many considerations, including, for instance, quality in engineering production, video-based security, or 3D modeling in gaming applications or movies. Yet, reconstructing a representation of a scene observed through a camera remains a challenging aspect in general, and the specific question of producing a (static or dynamic) geometric model has led to decades of research and still corresponds to a very active scientific domain. Sensors are continuously evolving, bringing more and more accuracy, resolution, and new opportunities for reconstructing objects' shapes and/or detailed geometric variations.This second issue is dedicated to 3D reconstruction from images, for which machine learning has brought interesting reconstruction methods, with approaches such as NeRFs or Gaussian splatting. Some specific aspects are also addressed, with in-depth fundamental research, such as the management of specular surfaces or accuracy issues in underwater environments. The 11 articles published in this second edition tackle several very interesting challenges: reconstructions of objects known for their complexity, underwater environments where distortions make depth estimation difficult, interactive systems and dynamic scenes, analyses of existing reconstruction techniques, and deep learning approaches.

Buch. Condition: Neu. Geometry Reconstruction from Images (2nd Edition) | Buch | Englisch | 2025 | MDPI AG | EAN 9783725860135 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.