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Front-End Vision and Multi-Scale Image Analysis
Many approaches have been proposed to solve the problem of finding the optic flow field of an image sequence. Three major classes of optic flow computation techniques can discriminated (see for a good overview Beauchemin and Barron IBeauchemin19951): gradient based (or differential) methods; phase based (or frequency domain) methods; correlation based (or area) methods; feature point (or sparse data) tracking methods; In this chapter we compute the optic flow as a dense optic flow field with a multi scale differential method. The method, originally proposed by Florack and Nielsen [Florack1998a] is known as the Multiscale Optic Flow Constrain Equation (MOFCE). This is a scale space version of...
Image Structure
Despite the fact that images constitute the main objects in computer vision and image analysis, there is remarkably little concern about their actual definition. In this book a complete account of image structure is proposed in terms of rigorously defined machine concepts, using basic tools from algebra, analysis, and differential geometry. Machine technicalities such as discretisation and quantisation details are de-emphasised, and robustness with respect to noise is manifest. From the foreword by Jan Koenderink: `It is my hope that the book will find a wide audience, including physicists - who still are largely unaware of the general importance and power of scale space theory, mathematicians - who will find in it a principled and formally tight exposition of a topic awaiting further development, and computer scientists - who will find here a unified and conceptually well founded framework for many apparently unrelated and largely historically motivated methods they already know and love. The book is suited for self-study and graduate courses, the carefully formulated exercises are designed to get to grips with the subject matter and prepare the reader for original research.'
Low Vision
A Survey of the Utilization of Rehabilitation Services by the Visually Impaired Elderly Population -- Low Vision Care: Is Ongoing Assessment Really Necessary? -- Are Low Vision Aids still used Six Month safter Prescription? -- Part II -- DOMICILIARY FOLLOW UP IN LOW VISION CARE -- Low Vision Services in the Context of Vision Rehabilitation -- Rehabilitation of Visually Impaired Children in China -- Residual vision and integration: The implications for India in the management of its blind population -- The Visual Advice Centre Eindhoven, An Experiment in Dutch Low Vision Care -- Meeting the Needs of a Geographically Isolated Paediatric Low Vision Population -- Part III -- The ICIDH as a basis...
Information Processing in Medical Imaging
This volume contains the proceedings of the thirteenth biennial International Conference on Information Processing in Medical Imaging (IPMI XIII), held on the campus of Northern Arizona University in Flagstaff, Arizona, in June 1993. This conference was the latest in a series of meetings where new developments in the acquisition, analysis and utilization of medical images are presented, discussed, dissected, and extended. Today IPMI is widely recognized as a preeminent international forum for presentation of cutting-edge research in medical imaging and imageanalysis. The volume contains the text of the papers presented orally atIPMI XIII. Over 100 manuscripts were submitted and critically reviewed, of which 35 were selected for presentation. In this volume they are arranged into nine categories: shape description with deformable models, abstractshape description, knowledge-based systems, neural networks, novel imaging methods, tomographic reconstruction, image sequences, statistical pattern recognition, and image quality.
Geometry-Driven Diffusion in Computer Vision
Scale is a concept the antiquity of which can hardly be traced. Certainly the familiar phenomena that accompany sc ale changes in optical patterns are mentioned in the earliest written records. The most obvious topological changes such as the creation or annihilation of details have been a topic to philosophers, artists and later scientists. This appears to of fascination be the case for all cultures from which extensive written records exist. For th instance, chinese 17 c artist manuals remark that "distant faces have no eyes" . The merging of details is also obvious to many authors, e. g. , Lucretius mentions the fact that distant islands look like a single one. The one topo logical event that is (to the best of my knowledge) mentioned only late (by th John Ruskin in his "Elements of drawing" of the mid 19 c) is the splitting of a blob on blurring. The change of images on a gradual increase of resolu tion has been a recurring theme in the arts (e. g. , the poetic description of the distant armada in Calderon's The Constant Prince) and this "mystery" (as Ruskin calls it) is constantly exploited by painters.
Scale-Space Theories in Computer Vision
This volume constitutes the refereed proceedings of the Second International Conference on Scale-Space Theories in Computer Vision, Scale-Space'99, held in Corfu, Greece, in September 1999. The 36 revised full papers and the 18 revised posters presented in the book were carefully reviewed and selected from 66 high-quality submissions. The book addresses all current aspects of this young and active field, in particular geometric Image flows, nonlinear diffusion, functional minimization, linear scale-space, etc.
Deep Structure, Singularities, and Computer Vision
This book constitutes the thoroughly refereed post-proceedings of the First International Workshop on Deep Structure, Singularities, and Computer Vision, DSSCV 2005, held in Maastricht, The Netherlands in June 2005. The 14 revised full papers and 8 revised poster papers presented were carefully reviewed and selected for inclusion in the book. They represent the current state-of-the-art in understanding the relation between structural, topological information represented by singularities and metric information of signals, shapes, images, and colors.
Experiments in the Machine Interpretation of Visual Motion
This book describes experimental advances made in the interpretation of visual motion over the last few years that have moved researchers closer to emulating the way in which we recover information about the surrounding world.
Computational Analysis of Visual Motion
Image motion processing is important to machine vision systems because it can lead to the recovery of 3D structure and motion. Author Amar Mitiche offers a comprehensive mathematical treatment of this key subject in visual systems research. Mitiche examines the interpretation of point correspondences as well as the interpretation of straight line correspondences and optical flow. In addition, the author considers interpretation by knowledge-based systems and presents the relevant mathematical basis for 3D interpretation.
Unfolding Perceptual Continua
The book analyses the differences between the mathematical interpretation and the phenomenological intuition of the continuum. The basic idea is that the continuity of the experience of space and time originates in phenomenic movement. The problem of consciousness and of the spaces of representation is related to the primary processes of perception. Conceived as an interplay between cognitive science, linguistics and philosophy, the book presents a conceptual framework based on a dynamic and experimental approach to the problem of the continuum. Besides presenting the primitives of a theory of cognitive space and time, it presents a theory of the observer, analyzing the relationship among perspective, points of view and unity of consciousness. The book's chapters deal with the dynamic elaboration and recognition of forms from the lower to the higher processes in the various perceptual fields. Experimental analysis from visual, auditory and tactile perception outline the basic structures of intentionality and its counterpart in language and gesture. (Series B)
