Название: Recent Advances in Computer Vision: Theories and Applications Автор: Mahmoud Hassaballah, Khalid M. Hosny Издательство: Springer ISBN: 3030029999 Год: 2019 Страниц: 430 Язык: английский Формат: pdf (true), epub Размер: 133.8 MB
This book presents a collection of high-quality research by leading experts in computer vision and its applications. Each of the 16 chapters can be read independently and discusses the principles of a specific topic, reviews up-to-date techniques, presents outcomes, and highlights the challenges and future directions.
As such the book explores the latest trends in fashion creative processes, facial features detection, visual odometry, transfer learning, face recognition, feature description, plankton and scene classification, video face alignment, video searching, and object segmentation. It is intended for postgraduate students, researchers, scholars and developers who are interested in computer vision and connected research disciplines, and is also suitable for senior undergraduate students who are taking advanced courses in related topics. However, it is also provides a valuable reference resource for practitioners from industry who want to keep abreast of recent developments in this dynamic, exciting and profitable research field.
Contents:
Computer Vision for Supporting Fashion Creative Processes 1 Facial Features Detection and Localization 33 Advances and Trends in Video Face Alignment 61 Video Similarity Measurement and Search 85 Analysis and Evaluation of Keypoint Descriptors for Image Matching 113 Feature Extraction of Color Images Using Quaternion Moments 141 Face Recognition Using Exact Gaussian-Hermit Moments 169 Face Recognition with Discrete Orthogonal Moments 189 Content-Based Image Retrieval Using Multiresolution Feature Descriptors 211 Landmark Recognition: From Small-Scale to Large-Scale Retrieval 237 Ocean Ecosystems Plankton Classification 261 Boundary Detection of Echocardiographic Images During Mitral Regurgitation 281 Motion Estimation Made Easy: Evolution and Trends in Visual Odometry 305 Deep Ear Recognition Pipeline 333 Scene Classification Using Transfer Learning 363 Nikhil Damodaran, V. Sowmya, D. Govind and K. P. Soman Hyperspectral Image: Fundamentals and Advances 401 Author Index 425 About the Editors
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