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Concise Computer Vision
This textbook provides an accessible general introduction to the essential topics in computer vision. Classroom-tested programming exercises and review questions are also supplied at the end of each chapter. Features: provides an introduction to the basic notation and mathematical concepts for describing an image and the key concepts for mapping an image into an image; explains the topologic and geometric basics for analysing image regions and distributions of image values and discusses identifying patterns in an image; introduces optic flow for representing dense motion and various topics in sparse motion analysis; describes special approaches for image binarization and segmentation of still images or video frames; examines the basic components of a computer vision system; reviews different techniques for vision-based 3D shape reconstruction; includes a discussion of stereo matchers and the phase-congruency model for image features; presents an introduction into classification and learning.
Digital Geometry
Digital geometry is about deriving geometric information from digital pictures. The field emerged from its mathematical roots some forty-years ago through work in computer-based imaging, and it is used today in many fields, such as digital image processing and analysis (with applications in medical imaging, pattern recognition, and robotics) and of course computer graphics. Digital Geometry is the first book to detail the concepts, algorithms, and practices of the discipline. This comphrehensive text and reference provides an introduction to the mathematical foundations of digital geometry, some of which date back to ancient times, and also discusses the key processes involved, such as geometric algorithms as well as operations on pictures.*A comprehensive text and reference written by pioneers in digital geometry, image processing and analysis, and computer vision*Provides a collection of state-of-the-art algorithms for a wide variety of geometrical picture analysis tasks, including extracting data from digital images and making geometric measurements on the data*Includes exercises, examples, and references to related or more advanced work
Computer Vision
This book explores computer vision, describing the reconstruction of object surfaces and the analysis of distances between camera and objects. Fundamentals and algorithms are presented, including topics such as dynamic stereo analysis, shape from shading, photometric stereo analysis, and structural illumination. New research results in shape reconstruction and depth analysis are also included.
Euclidean Shortest Paths
This unique text/reference reviews algorithms for the exact or approximate solution of shortest-path problems, with a specific focus on a class of algorithms called rubberband algorithms. Discussing each concept and algorithm in depth, the book includes mathematical proofs for many of the given statements. Topics and features: provides theoretical and programming exercises at the end of each chapter; presents a thorough introduction to shortest paths in Euclidean geometry, and the class of algorithms called rubberband algorithms; discusses algorithms for calculating exact or approximate ESPs in the plane; examines the shortest paths on 3D surfaces, in simple polyhedrons and in cube-curves; describes the application of rubberband algorithms for solving art gallery problems, including the safari, zookeeper, watchman, and touring polygons route problems; includes lists of symbols and abbreviations, in addition to other appendices.
Human Motion
This is the first book which informs about recent progress in biomechanics, computer vision and computer graphics – all in one volume. Researchers from these areas have contributed to this book to promote the establishment of human motion research as a multi-facetted discipline and to improve the exchange of ideas and concepts between these three areas. The book combines carefully written reviews with detailed reports on recent progress in research.
Computer Vision for Driver Assistance
This book summarises the state of the art in computer vision-based driver and road monitoring, focussing on monocular vision technology in particular, with the aim to address challenges of driver assistance and autonomous driving systems. While the systems designed for the assistance of drivers of on-road vehicles are currently converging to the design of autonomous vehicles, the research presented here focuses on scenarios where a driver is still assumed to pay attention to the traffic while operating a partially automated vehicle. Proposing various computer vision algorithms, techniques and methodologies, the authors also provide a general review of computer vision technologies that are relevant for driver assistance and fully autonomous vehicles. Computer Vision for Driver Assistance is the first book of its kind and will appeal to undergraduate and graduate students, researchers, engineers and those generally interested in computer vision-related topics in modern vehicle design.
Geometry and Vision
This book constitutes selected papers from the First International Symposium on Geometry and Vision, ISGV 2021, held in Auckland, New Zealand, in January 2021. Due to the COVID-19 pandemic the conference was held in partially virtual format. The 29 papers were thoroughly reviewed and selected from 50 submissions. They cover topics in areas of digital geometry, graphics, image and video technologies, computer vision, and multimedia technologies.
Handbook of Image Processing Operators
Handbook of Image Processing Operators Reinhard Klette Berlin Technical University, Germany Piero Zamperoni Braunschweig Technical University, Germany The practical applications of digital image processing have expanded significantly in recent years. Interest is increasing over a wide range of disciplines, from computer vision to biomedical imaging and mechanical inspection. An invaluable reference source for all who work in image processing, this text describes the complete range of standard image processing operators and transformations. Coverage spans the fundamentals of image processing, introducing the basic terminology, describing the general control structures and illustrating a range...
Pattern Recognition
This book constitutes the refereed proceedings of the 26th Symposium of the German Association for Pattern Recognition, DAGM 2004, held in Tbingen, Germany in August/September 2004. The 22 revised papers and 48 revised poster papers presented were carefully reviewed and selected from 146 submissions. The papers are organized in topical sections on learning, Bayesian approaches, vision and faces, vision and motion, biologically motivated approaches, segmentation, object recognition, and object recognition and synthesis.
Advances in Visual Computing
This book constitutes the refereed proceedings of the First International Symposium on Visual Computing, ISVC 2005, held in Lake Tahoe, NV, USA in December 2005. The 33 revised full papers and 26 poster papers presented together with 5 keynote presentations and 1 invited talk were carefully reviewed and selected from 110 submissions. The papers are rounded off by 32 presentations held at seven special tracks. The papers cover the four main areas of visual computing: vision, graphics, visualization, and virtual reality. Topics addressed are computer graphics, medical imaging, computer vision methods for ambient intelligence, virtual reality and medicine, pattern analysis and recognition applications in biometrics, visualization, mediated reality, visual surveillance in challenging environments, low level vision, encoding and compression, segmentation, recognition and reconstruction, motion, text extraction and retrieval, intelligent vehicles and autonomous navigation, and visualization techniques in geophysical science.
