Автор: Hua, Jing Название: Spectral Geometry of Shapes ISBN: 0128138424 ISBN-13(EAN): 9780128138427 Издательство: Elsevier Science Рейтинг: Цена: 14483.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Due to the rapid advancement of 3D acquisition technologies there has been a big increase in 3D shape data that requires a variety of shape analysis methods. However, traditional 3D shape analyses methods based on Euclidean transformations suffer many variance problems. Spectral geometric processing methods, on the other hand, have the benefit of containing the intrinsic geometric information of a shape as well as revealing relationships across shapes, facilitating 3D shape analyses into a single uniform framework that handles both isometric and nonisometric variations, and which also supports deep learning of shape geometry.
This book presents unique shape analysis approaches based on shape spectrum in differential geometry, providing insight into how to develop geometry-based methods for 3D shape analysis. It will be a very suitable learning resource for graduate students and researchers in computer science and computer engineering and applied mathematics with an interest in 3D shape analysis, shape motion analysis, image analysis, medical image analysis, computer vision and computer graphics.
Presents the latest advances in spectral geometric processing for 3D shape analysis applications, such as shape classification, shape matching, medical imaging, etc.
Provides intuitive links between fundamental geometric theories and real-world applications, bridging the gap between theory and practice
Describes new theoretical breakthroughs in applying spectral methods for non-isometric motion analysis
Gives insights for developing spectral geometry-based approaches for 3D shape analysis and deep learning of shape geometry
Includes C++ code for hands-on experience and to help readers apply the presented methods in real-world applications such as 3D shape retrieval, classification and motion analysis
Описание: Identifying plagiarism is a pressing problem for research institutions, publishers, and funding bodies. Current detection methods focus on textual analysis and find copied, moderately reworded, or translated content. However, detecting more subtle forms of plagiarism, including strong paraphrasing, sense-for-sense translations, or the reuse of non-textual content and ideas, remains a challenge. This book presents a novel approach to address this problem—analyzing non-textual elements in academic documents, such as citations, images, and mathematical content. The proposed detection techniques are validated in five evaluations using confirmed plagiarism cases and exploratory searches for new instances. The results show that non-textual elements contain much semantic information, are language-independent, and resilient to typical tactics for concealing plagiarism. Incorporating non-textual content analysis complements text-based detection approaches and increases the detection effectiveness, particularly for disguised forms of plagiarism. The book introduces the first integrated plagiarism detection system that combines citation, image, math, and text similarity analysis. Its user interface features visual aids that significantly reduce the time and effort users must invest in examining content similarity.
Автор: Gu Название: Quality Assessment of Visual Content ISBN: 9811933499 ISBN-13(EAN): 9789811933493 Издательство: Springer Рейтинг: Цена: 20962.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book provides readers with a comprehensive review of image quality assessment technology, particularly applications on screen content images, 3D-synthesized images, sonar images, enhanced images, light-field images, VR images, and super-resolution images. It covers topics containing structural variation analysis, sparse reference information, multiscale natural scene statistical analysis, task and visual perception, contour degradation measurement, spatial angular measurement, local and global assessment metrics, and more. All of the image quality assessment algorithms of this book have a high efficiency with better performance compared to other image quality assessment algorithms, and the performance of these approaches mentioned above can be demonstrated by the results of experiments on real-world images. On the basis of this, those interested in relevant fields can use the results obtained through these quality assessment algorithms for further image processing. The goal of this book is to facilitate the use of these image quality assessment algorithms by engineers and scientists from various disciplines, such as optics, electronics, math, photography techniques and computation techniques. The book can serve as a reference for graduate students who are interested in image quality assessment techniques, for front-line researchers practicing these methods, and for domain experts working in this area or conducting related application development.
Автор: Ray, Kumar S. Название: Soft Computing and Its Applications, Volume One ISBN: 192689538X ISBN-13(EAN): 9781926895383 Издательство: Taylor&Francis Рейтинг: Цена: 24499.00 р. Наличие на складе: Поставка под заказ.
Автор: Ray, Kumar S. Название: Soft Computing and Its Applications, Volume One ISBN: 1774630869 ISBN-13(EAN): 9781774630860 Издательство: Taylor&Francis Рейтинг: Цена: 12707.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Zemmari Akka, Benois-Pineau Jenny Название: Deep Learning in Mining of Visual Content ISBN: 3030343758 ISBN-13(EAN): 9783030343750 Издательство: Springer Рейтинг: Цена: 8384.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book provides the reader with the fundamental knowledge in the area of deep learning with application to visual content mining. The authors give a fresh view on Deep learning approaches both from the point of view of image understanding and supervised machine learning.
Автор: Rebeca Marfil; Mariletty Calder?n; Fernando D?az d Название: Computational Topology in Image Context ISBN: 3030108279 ISBN-13(EAN): 9783030108274 Издательство: Springer Рейтинг: Цена: 6986.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book constitutes the proceedings of the 7th International Workshop on Computational Topology in Image Context, CTIC 2019, held in M?laga, Spain, in January 2019. The 14 papers presented in this volume were carefully reviewed and selected from 21 submissions. Papers deal with theoretical issues but most of them put the attention on the applicability of concepts and algorithms. These were designed to deal with objects and images, but also with the speech signal. The final application must be for instance in the medical domain or in the robotics one.
Описание: This book constitutes the refereed proceedings of the Second International Workshop on Context-Aware Surgical Theaters, OR 2.0 2019, and the Second International Workshop on Machine Learning in Clinical Neuroimaging, MLCN 2019, held in conjunction with MICCAI 2019, in Shenzhen, China, in October 2019.
Описание: This book emerged out of research done during the period between 2004 and 2016 on the topic of mobile and wearable computing. The result is a comprehensive presentation of research findings covering different important aspects in the domain of wearable and pervasive computing for a better life.
Автор: Hayit Greenspan; Henning M?ller; Tanveer Syeda-Mah Название: Medical Content-Based Retrieval for Clinical Decision Support ISBN: 3642366775 ISBN-13(EAN): 9783642366772 Издательство: Springer Рейтинг: Цена: 6429.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Workshop Overview.- Overview of the Third Workshop on Medical Content-Based Retrieval for Clinical Decision Support (MCBR-CDS 2012).- Invited Talk.- A Polynomial Model of Surgical Gestures for Real-Time Retrieval of Surgery Videos.- Methods.- Exploiting 3D Part-Based Analysis, Description and Indexing to Support Medical Applications.- Skull Retrieval for Craniosynostosis Using Sparse Logistic Regression Models.- 3D/4D Data Retrieval.- Retrieval of 4D Dual Energy CT for Pulmonary Embolism Diagnosis.- Immediate ROI Search for 3-D Medical Images.- The Synergy of 3D SIFT and Sparse Codes for Classification of Viewpoints from Echocardiogram Videos.- Assessing the Classification of Liver Focal Lesions by Using Multi-phase Computer Tomography Scans.- Invited Talk.- VISCERAL: Towards Large Data in Medical Imaging - Challenges and Directions.- Visual Features.- Customised Frequency Pre-filtering in a Local Binary Pattern-Based Classification of Gastrointestinal Images.- Bag-of-Colors for Biomedical Document Image Classification.- Multimodal Retrieval.- An SVD-Bypass Latent Semantic Analysis for Image Retrieval.- Multimedia Retrieval in a Medical Image Collection: Results Using Modality Classes.
Автор: Nadia Magnenat-Thalmann; Junsong Yuan; Daniel Thal Название: Context Aware Human-Robot and Human-Agent Interaction ISBN: 3319373471 ISBN-13(EAN): 9783319373478 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Preface.- Introduction.- Part I User Understanding through Multisensory Perception.- Face and Facial Expressions Recognition and Analysis.- Body Movement Analysis and Recognition.- Sound Source Localization and Tracking.- Modelling Conversation.- Part II Facial and Body Modelling Animation.- Personalized Body Modelling.- Parameterized Facial modelling and Animation.- Motion Based Learning.- Responsive Motion Generation.- Shared Object Manipulation.- Part III Modelling Human Behaviours.- Modelling Personality, Mood and Emotions.- Motion Control for Social Behaviours.- Multiple Virtual Humans Interactions.- Multi-Modal and Multi-Party Social Interactions.
Автор: Nadia Magnenat-Thalmann; Junsong Yuan; Daniel Thal Название: Context Aware Human-Robot and Human-Agent Interaction ISBN: 3319199463 ISBN-13(EAN): 9783319199467 Издательство: Springer Рейтинг: Цена: 19564.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Context Aware Human-Robot and Human-Agent Interaction
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