Motion and Structure from Image Sequences is invaluable reading for researchers, graduate students, and practicing engineers dealing with computer vision. It presents a balanced treatment of the theoretical and practical issues, including very recent results - some of which are published here for the first time. The topics covered in detail are: - image matching and optical flow computation - structure from stereo - structure from motion - motion estimation - integration of multiple views - motion modeling and prediction Aspects such as uniqueness of the solution, degeneracy conditions, error analysis, stability, optimality, and robustness are also investigated. These details together with the fact that the algorithms are accessible without necessarily studying the rest of the material, make this book particularly attractive to practitioners.
Traditionally, scientific fields have defined boundaries, and scientists work on research problems within those boundaries. However, from time to time those boundaries get shifted or blurred to evolve new fields. For instance, the original goal of computer vision was to understand a single image of a scene, by identifying objects, their structure, and spatial arrangements. This has been referred to as image understanding. Recently, computer vision has gradually been making the transition away from understanding single images to analyzing image sequences, or video understanding. Video understanding deals with understanding of video sequences, e. g. , recognition of gestures, activities, facial expressions, etc. The main shift in the classic paradigm has been from the recognition of static objects in the scene to motion-based recognition of actions and events. Video understanding has overlapping research problems with other fields, therefore blurring the fixed boundaries. Computer graphics, image processing, and video databases have obvious overlap with computer vision. The main goal of computer graphics is to gener ate and animate realistic looking images, and videos. Researchers in computer graphics are increasingly employing techniques from computer vision to gen erate the synthetic imagery. A good example of this is image-based rendering and modeling techniques, in which geometry, appearance, and lighting is de rived from real images using computer vision techniques. Here the shift is from synthesis to analysis followed by synthesis.
Understanding abiotic stress responses in plants is critical for the development of new varieties of crops, which are better adapted to harsh climate conditions. The new book by the well-known editor team Narendra Tuteja and Sarvajeet Gill provides a comprehensive overview on the molecular basis of plant responses to external stress like drought or heavy metals, to aid in the engineering of stress resistant crops. After a general introduction into the topic, the following sections deal with specific signaling pathways mediating plant stress response. The last part covers translational plant physiology, describing several examples of the development of more stress-resistant crop varieties.
This second edition has been fully revised to provide practising clinicians and trainees with the most recent advances in the field of operative obstetrics and gynaecology. Divided into four sections, the book provides in depth coverage of general principles of surgery, followed by chapters on surgery for specific disorders in obstetrics, and then gynaecology. The final section examines recent advances including laser therapy and robotic surgery. Each topic describes preoperative and postoperative care, as well as the actual procedure. Associated topics such as anaesthesia, operating theatre requirements, management of infection, and blood transfusions are also discussed in detail. This new edition includes more than 900 clinical photographs, diagrams and tables, as well as eight DVD ROMs demonstrating surgical procedures. Key points Fully revised, new edition providing clinicians and trainees with latest developments in operative obstetrics and gynaecology Recent advances section covers laser therapy and robotic surgery Includes eight DVD ROMs demonstrating procedures Previous edition published in 2009
This book is a complete guide to the diagnosis and management of gynaecological diseases and disorders for trainees in the field. Beginning with an overview of anatomy and physiology, and the functions of different parts of the gynaecological system, the following sections cover numerous disorders and their treatment. Several chapters are dedicated to ultrasound and robotics in gynaecology. This ninth edition has been fully revised and includes many new topics to provide trainees with the latest information and advances in the field. Authored by recognised experts, the comprehensive text is further enhanced by clinical photographs, diagrams, flowcharts and tables to assist learning. Key points Comprehensive guide to diagnosis and management of gynaecological disorders Fully revised, ninth edition featuring many new topics Highly illustrated with clinical photographs, diagrams, flowcharts and tables Previous edition (9789351521495) published in 2014
A comprehensive review of problems that may occur during pregnancy and labour. Beginning with antenatal care and surveillance throughout pregnancy, the following chapters discuss various medical conditions that may arise including diabetes, pulmonary and neurological diseases, urinary complications, cardiac disease and endocrine disorders. Several chapters are dedicated to labour and include topics such as instrumental delivery, postpartum problems, haemorrhage and neonatal resuscitation. With contributions from internationally renowned obstetricians, this manual includes more than 400 images and illustrations.
Inequalities for polynomials and their derivatives are very important in many areas of mathematics, as well as in other computational and applied sciences; in particular they play a fundamental role in approximation theory. Here, not only Extremal Problems and Inequalities of Markov-Bernstein Type for Algebraic Polynomials, but also ones for trigonometric polynomials and related functions, are treated in an integrated and comprehensive style in different metrics, both on general classes of polynomials and on important restrictive classes of polynomials. Primarily for graduate and PhD students, this book is useful for any researchers exploring problems which require derivative estimates. It is particularly useful for those studying inverse problems in approximation theory. - Applies Markov-Bernstein-type inequalities to any problem where derivative estimates are necessary - Presents complex math in a clean and simple way, progressing readers from polynomials into rational functions, and entire functions of exponential type - Contains exhaustive references with more than five hundred citations to articles and books - Features methods to solve inverse problems across approximation theory - Includes open problems for further research
This book takes an interdisciplinary approach by covering topics on health care and artificial intelligence. Data sets related to biomedical signals (ECG, EEG, EMG) and images (X-rays, MRI, CT) are explored, analyzed, and processed through different computation intelligence methods. Applications of computational intelligence techniques like artificial and deep neural networks, swarm optimization, expert systems, decision support systems, clustering, and classification techniques on medial datasets are explained. Survey of medical signals, medial images, and computation intelligence methods are also provided in this book. Key Features Covers computational Intelligence techniques like artificial neural networks, deep neural networks, and optimization algorithms for Healthcare systems Provides easy understanding for concepts like signal and image filtering techniques Includes discussion over data preprocessing and classification problems Details studies with medical signal (ECG, EEG, EMG) and image (X-ray, FMRI, CT) datasets Describes evolution parameters such as accuracy, precision, and recall etc. This book is aimed at researchers and graduate students in medical signal and image processing, machine and deep learning, and healthcare technologies.
This fourth edition presents clinicians with the most recent developments in ultrasound in obstetrics and gynaecology. Beginning with an introduction to the physics, machines and measurements used in ultrasonography, the following sections provide in depth coverage of its use in diagnosing and managing different obstetrical and gynaecological conditions. The text also covers infertility, interventional procedures, other methods in radiology and legal and ethical issues. Presented in an easy to follow, bulleted format, this new edition includes numerous ultrasound images, illustrations and tables, as well as a quick reference appendices section which includes AIUM (American Institute of Ultrasound in Medicine) Guidelines and protocols from Thomas Jefferson University in Philadelphia. Key points New edition presenting clinicians with latest developments in ultrasound in obstetrics and gynaecology Easy to follow, bulleted format with numerous ultrasound images, illustrations and tables Includes AIUM Guidelines and protocols from Thomas Jefferson University
Motion and Structure from Image Sequences is invaluable reading for researchers, graduate students, and practicing engineers dealing with computer vision. It presents a balanced treatment of the theoretical and practical issues, including very recent results - some of which are published here for the first time. The topics covered in detail are: - image matching and optical flow computation - structure from stereo - structure from motion - motion estimation - integration of multiple views - motion modeling and prediction Aspects such as uniqueness of the solution, degeneracy conditions, error analysis, stability, optimality, and robustness are also investigated. These details together with the fact that the algorithms are accessible without necessarily studying the rest of the material, make this book particularly attractive to practitioners.
Researchers have been working under the premise that a computer can recognize information about a user's identity, state, and intent from facial expression and hand motions. Because of the immense number of variables in processing facial images (scale, location, orientations, pose, etc) the first step is getting computers to recognize faces. Gesture recognition is similarly complicated. Yang (Honda R & D Americas, Inc.) and Ahuja (computer science, U. of Illinois at Urbana-Champaign) present their own work in these related fields and summarize some recent findings by other researchers. They present an algorithm for extracting and recognizing motion patterns, present experimental results on motion patterns related to 40 American Sign Language gestures, discuss a model that extracts skin tone regions for the reduction of computation needed, present experimental results for the model, and describe a (Sparse Network of Winnows) SnoW-based face detector. Finally future directions of research are examined. Annotation copyrighted by Book News Inc., Portland, OR.
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