wan jun (55 Ergebnisse)

Paperback. Zustand: As New. No Jacket. Pages are clean and are not marred by notes or folds of any kind. ~ ThriftBooks: Read More, Spend Less.

Paperback. Zustand: Fair. No Jacket. Readable copy. Pages may have considerable notes/highlighting. ~ ThriftBooks: Read More, Spend Less.

Zustand: Bueno. : Esta obra revisa y amplía la edición anterior sobre la detección de ataques de presentación facial multimodal. Los autores proporcionan información fundamental sobre la detección de suplantación de identidad (spoofing), explicando la importancia de estas técnicas para prevenir brechas de seguridad en los sistemas de reconocimiento facial. El libro analiza los factores que dificultan el diseño de métodos efectivos y presenta una revisión exhaustiva de las técnicas actuales que han logrado el mayor rendimiento en desafíos internacionales como ChaLearn en CVPR e ICCV.Además de evaluar las metodologías existentes, el texto identifica direcciones futuras para la investigación en el campo de la biometría. Esta segunda edición incluye análisis adicionales, nuevas metodologías y una encuesta más completa de soluciones, siendo una lectura esencial para profesionales y académicos interesados en la visión por computadora y la seguridad de datos. EAN: 9783031329081 Tipo: Libros Categoría: Tecnología|Ciencias Título: Advances in Face Presentation Attack Detection Autor: Jun Wan| Guodong Guo| Sergio Escalera| Hugo Jair Escalante| Stan Z. Li Editorial: Springer-Verlag GmbH Idioma: en Páginas: 119 Formato: tapa blanda.

Zustand: New. In English.

Zustand: New. In.

Zustand: New.

Zustand: New. In.

Zustand: New. In.

Zustand: New. In.

Zustand: New. In.

Zustand: Wie Neu. Zustandsbeschreibung: leichte Lagerspuren/minor shelfwear. By Jun Wan, Guodong Guo, Sergio Escalera, Hugo Jair Escalante and Stan Z. Li. The book presents a thorough review and evaluation of current techniques and identifies those that have achieved the highest level of performance in a series of ChaLearn face anti-spoofing challenges at CVPR and ICCV. The authors also highlight directions for future research in face-anti-spoofing that would lead to progress in the field. Second Edition. VIII,111 Seiten mit 48 Farb- und 52 s/w-Abb., gebunden (Synthesis Lectures on Computer Vision/Springer-Verlag 2023). Statt EUR 42,79. Gewicht: 344 g - Gebunden/Gebundene Ausgabe.

Hardcover. Zustand: Brand New. 2nd edition. 119 pages. 9.45x6.61x0.51 inches. In Stock.

Paperback. Zustand: Brand New. 88 pages. 9.25x6.10x0.43 inches. In Stock.

Paperback. Zustand: Brand New. 152 pages. 9.25x6.10x0.36 inches. In Stock.

Paperback. Zustand: Brand New. 216 pages. 9.25x6.10x0.39 inches. In Stock.

Hardcover. Zustand: Brand New. 152 pages. 9.25x6.10x0.63 inches. In Stock.

Hardcover. Zustand: Brand New. 2013 edition. 212 pages. 9.21x0.79x6.46 inches. In Stock.

Zustand: New.

Zustand: New. In.

Zustand: New.

Zustand: New. In.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - For the last ten years, face biometric research has been intensively studied by the computer vision community. Face recognition systems have been used in mobile, banking, and surveillance systems. For face recognition systems, face spoofing attack detection is a crucial stage that could cause severe security issues in government sectors. Although effective methods for face presentation attack detection have been proposed so far, the problem is still unsolved due to the difficulty in the design of features and methods that can work for new spoofing attacks. In addition, existing datasets for studying the problem are relatively small which hinders the progress in this relevant domain.In order to attract researchers to this important field and push the boundaries of the state of the art on face anti-spoofing detection, we organized the Face Spoofing Attack Workshop and Competition at CVPR 2019, an event part of the ChaLearn Looking at People Series. As part of this event, we released the largest multi-modal face anti-spoofing dataset so far, the CASIA-SURF benchmark. The workshop reunited many researchers from around the world and the challenge attracted more than 300 teams. Some of the novel methodologies proposed in the context of the challenge achieved state-of-the-art performance. In this manuscript, we provide a comprehensive review on face anti-spoofing techniques presented in this joint event and point out directions for future research on the face anti-spoofing field.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book revises and expands upon the prior edition of Multi-Modal Face Presentation Attack Detection. The authors begin with fundamental and foundational information on face spoofing attack detection, explaining why the computer vision community has intensively studied it for the last decade. The authors also discuss the reasons that cause face anti-spoofing to be essential for preventing security breaches in face recognition systems. In addition, the book describes the factors that make it difficult to design effective methods of face presentation attack detection challenges. The book presents a thorough review and evaluation of current techniques and identifies those that have achieved the highest level of performance in a series of ChaLearn face anti-spoofing challenges at CVPR and ICCV. The authors also highlight directions for future research in face anti-spoofing that would lead to progress in the field. Additional analysis, new methodologies, and a more comprehensive survey of solutions are included in this new edition.

Taschenbuch. Zustand: Neu. Multi-Modal Face Presentation Attack Detection | Jun Wan (u. a.) | Taschenbuch | Synthesis Lectures on Computer Vision | xi | Englisch | 2020 | Springer | EAN 9783031006968 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book revises and expands upon the prior edition of Multi-Modal Face Presentation Attack Detection. The authors begin with fundamental and foundational information on face spoofing attack detection, explaining why the computer vision community has intensively studied it for the last decade. The authors also discuss the reasons that cause face anti-spoofing to be essential for preventing security breaches in face recognition systems. In addition, the book describes the factors that make it difficult to design effective methods of face presentation attack detection challenges. The book presents a thorough review and evaluation of current techniques and identifies those that have achieved the highest level of performance in a series of ChaLearn face anti-spoofing challenges at CVPR and ICCV. The authors also highlight directions for future research in face anti-spoofing that would lead to progress in the field. Additional analysis, new methodologies, and a more comprehensive survey of solutions are included in this new edition.

Taschenbuch. Zustand: Neu. Advances in Face Presentation Attack Detection | Jun Wan (u. a.) | Taschenbuch | Synthesis Lectures on Computer Vision | viii | Englisch | 2024 | Springer | EAN 9783031329081 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - The problem of dealing with missing or incomplete data in machine learning and computer vision arises in many applications. Recent strategies make use of generative models to impute missing or corrupted data. Advances in computer vision using deep generative models have found applications in image/video processing, such as denoising, restoration, super-resolution, or inpainting.Inpainting and Denoising Challenges comprises recent efforts dealing with image and video inpainting tasks. This includes winning solutions to the ChaLearn Looking at People inpainting and denoising challenges: human pose recovery, video de-captioning and fingerprint restoration.This volume starts with a wide review on image denoising, retracing and comparing various methods from the pioneer signal processing methods, to machine learning approaches with sparse and low-rank models, and recent deep learning architectures with autoencoders and variants. The following chapterspresent results from the Challenge, including three competition tasks at WCCI and ECML 2018. The top best approaches submitted by participants are described, showing interesting contributions and innovating methods. The last two chapters propose novel contributions and highlight new applications that benefit from image/video inpainting.

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - The problem of dealing with missing or incomplete data in machine learning and computer vision arises in many applications. Recent strategies make use of generative models to impute missing or corrupted data. Advances in computer vision using deep generative models have found applications in image/video processing, such as denoising, restoration, super-resolution, or inpainting.Inpainting and Denoising Challenges comprises recent efforts dealing with image and video inpainting tasks. This includes winning solutions to the ChaLearn Looking at People inpainting and denoising challenges: human pose recovery, video de-captioning and fingerprint restoration.This volume starts with a wide review on image denoising, retracing and comparing various methods from the pioneer signal processing methods, to machine learning approaches with sparse and low-rank models, and recent deep learning architectures with autoencoders and variants. The following chapterspresent results from the Challenge, including three competition tasks at WCCI and ECML 2018. The top best approaches submitted by participants are described, showing interesting contributions and innovating methods. The last two chapters propose novel contributions and highlight new applications that benefit from image/video inpainting.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - The connected dominating set has been a classic subject studied in graph theory since 1975. Since the 1990s, it has been found to have important applications in communication networks, especially in wireless networks, as a virtual backbone. Motivated from those applications, many papers have been published in the literature during last 15 years. Now, the connected dominating set has become a hot research topic in computer science. In this book, we are going to collect recent developments on the connected dominating set, which presents the state of the art in the study of connected dominating sets. The book consists of 16 chapters. Except the 1st one, each chapter is devoted to one problem, and consists of three parts, motivation and overview, problem complexity analysis, and approximation algorithm designs, which will lead the reader to see clearly about the background, formulation, existing important research results, and open problems. Therefore, this would be a very valuable reference book for researchers in computer science and operations research, especially in areas of theoretical computer science, computer communication networks, combinatorial optimization, and discrete mathematics.

Zustand: New.