Computational Analysis of Visual Motion
Author | : Amar Mitiche |
Publisher | : |
Total Pages | : 252 |
Release | : 2014-01-15 |
Genre | : |
ISBN | : 9781475797862 |
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Author | : Amar Mitiche |
Publisher | : |
Total Pages | : 252 |
Release | : 2014-01-15 |
Genre | : |
ISBN | : 9781475797862 |
Author | : Amar Mitiche |
Publisher | : Springer Science & Business Media |
Total Pages | : 242 |
Release | : 2013-06-29 |
Genre | : Computers |
ISBN | : 1475797850 |
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.
Author | : Muralidhara Subbarao |
Publisher | : Morgan Kaufmann |
Total Pages | : 152 |
Release | : 2014-07-10 |
Genre | : Computers |
ISBN | : 1483258920 |
Interpretation of Visual Motion: A Computational Study provides an information processing point of view to the phenomenon of visual motion. This book discusses the computational theory formulated for recovering the scene from monocular visual motion, determining the local geometry and rigid body motion of surfaces from spatio-temporal parameters of visual motion. This compilation also provides a theoretical and computational framework for future research on visual motion, both in human vision and machine vision areas. Other topics include the computation of image flow from intensity derivatives, instantaneous image flow due to rigid motion, time and space-time derivatives of image flow, and estimation of maximum absolute error. This publication is recommended for professionals and non-specialists intending to acquire knowledge of visual motion.
Author | : Ellen Catherine Hildreth |
Publisher | : |
Total Pages | : 60 |
Release | : 1986 |
Genre | : |
ISBN | : |
This paper reviews a number of aspects of visual motion analysis in biological systems, from a computational perspective. We illustrate the kinds of insights that have been gained through computational studies and how those observations can be integrated with experimental studies from psychology and the neurosciences, to understand the particular computations used by biological systems to analyze motion. The particular areas of motion analysis that we discuss include early motion detection and measurement, the optical flow computation, motion correspondence, the detection of motion discontinuities, and the recovery of three-dimensional structure from motion. Keywords: Image analysis, Artificial intelligence.
Author | : Steven Matthew Thurman |
Publisher | : |
Total Pages | : 100 |
Release | : 2011 |
Genre | : |
ISBN | : 9781124664330 |
We live in a phenomenally complex visual world, yet the human visual system extracts behaviorally meaningful information with apparent ease and efficiency. Our brains experience visual motion daily, and perhaps the most intricate and fascinating movement patterns are those of living creatures. Of particular importance are the actions of other humans, which contain rich information with social and biological relevance. The presented research investigates biological motion perception using relatively novel psychophysical techniques. In each of three experiments we use a unique variant of the "Bubbles" reverse correlation method, which works generally by revealing only portions of a stimulus randomly across many trials and then reverse correlating observer performance to illuminate the most informative regions of the stimulus. Experiment 1 uses "Temporal Bubbles", a new adaptation of "Bubbles" to the time domain, to determine if particular moments or postures during a point-light action sequence are more informative than others. Results show that there are indeed particularly diagnostic intervals in action sequences, but moments in this interval are not necessarily more informative if presented in isolation as static postures. We conclude that specific mid-level motion features are most critical for perceiving biological motion. In Experiment 2 we further elucidate these critical features by using "Spatio-temporal Bubbles" and quantitatively comparing human performance to a biologically inspired computational model of perception. Observers apparently use the same mid-level motion and form features for both point-light and stick figure sequences. Additionally, observer performance correlates with the "form pathway" of the model when stimulus duration is short (
Author | : Guillaume S. Masson |
Publisher | : Springer Science & Business Media |
Total Pages | : 362 |
Release | : 2009-12-02 |
Genre | : Medical |
ISBN | : 1441907815 |
Motion processing is an essential piece of the complex brain machinery that allows us to reconstruct the 3D layout of objects in the environment, to break camouflage, to perform scene segmentation, to estimate the ego movement, and to control our action. Although motion perception and its neural basis have been a topic of intensive research and modeling the last two decades, recent experimental evidences have stressed the dynamical aspects of motion integration and segmentation. This book presents the most recent approaches that have changed our view of biological motion processing. These new experimental evidences call for new models emphasizing the collective dynamics of large population of neurons rather than the properties of separate individual filters. Chapters will stress how the dynamics of motion processing can be used as a general approach to understand the brain dynamics itself.
Author | : Johannes M. Zanker |
Publisher | : Springer Science & Business Media |
Total Pages | : 424 |
Release | : 2011-06-28 |
Genre | : Science |
ISBN | : 3642565506 |
In six parts, this book considers the extent to which computational, neural, and ecological constraints have shaped the mechanisms underlying motion vision: - Early Motion Vision - Motion Signals for Local and Global Analysis - Optical Flow Patterns - Motion Vision in Action - Neural Coding of Motion - Motion in Natural Environments Each topic is introduced by a keynote chapter which is accompanied by several companion articles. Written by an international group of experts in neurobiology, psychophysics, animal behaviour, machine vision, and robotics, the book is designed to explore as comprehensively as possible the present state of knowledge concerning the principal factors that have guided the evolution of motion vision.
Author | : Muralidhara Subbarao |
Publisher | : |
Total Pages | : 0 |
Release | : 2014 |
Genre | : |
ISBN | : |
Interpretation of Visual Motion: A Computational Study provides an information processing point of view to the phenomenon of visual motion. This book discusses the computational theory formulated for recovering the scene from monocular visual motion, determining the local geometry and rigid body motion of surfaces from spatio-temporal parameters of visual motion. This compilation also provides a theoretical and computational framework for future research on visual motion, both in human vision and machine vision areas. Other topics include the computation of image flow from intensity derivatives, instantaneous image flow due to rigid motion, time and space-time derivatives of image flow, and estimation of maximum absolute error. This publication is recommended for professionals and non-specialists intending to acquire knowledge of visual motion.
Author | : José Miguel Sanchiz Martí |
Publisher | : Universitat Jaume I |
Total Pages | : 16 |
Release | : 1997 |
Genre | : |
ISBN | : 9788480211499 |
Author | : Ellen Catherine Hildreth |
Publisher | : MIT Press (MA) |
Total Pages | : 264 |
Release | : 1984 |
Genre | : Computers |
ISBN | : |
The organization of movement in the changing image that reaches the eye provides our visual system with a valuable source of information for analyzing the structure of our surroundings. This book examines the measurement of this movement and the use of relative movement to locate the boundaries of physical objects in the environment.