Articoli correlati a Measurement of Image Velocity: 169
Sinossi
Measurement of Image Velocity presents a computational framework for computing motion information from sequences of images. Its specific goal is the measurement of image velocity (or optical flow), the projection of 3-D object motion onto the 2-D image plane.
The formulation of the problem emphasizes the geometric and photometric properties of image formation, and the occurrence of multiple image velocities caused, for example, by specular reflections, shadows, or transparency. The method proposed for measuring image velocity is based on the phase behavior in the output of velocity-tuned filters. Extensive experimental work is used to show that phase can be a reliable source of pure image translation, small geometric deformation, smooth contrast variations, and multiple local velocities. Extensive theorectical analysis is used to explain the robustness of phase with respect to deviations from image translation, and to detect situations in which phase becomes unstable. The results indicate that optical flow may be extracted reliably for computing egomotion and structure from motion.
The monograph also contains a review of other techniques and frequency analysis applied to image sequences, and it discusses the closely related topics of zero-crossing tracking, gradient-based methods, and the measurement of binocular disparity. The work is relevant to those studying machine vision and visual perception.
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Contenuti
Foreword; A.D. Jepson. Preface. I. Background. 1. Introduction. 2. Time-Varying Image Formation. 3. Image Velocity and Frequency Analysis. 4. Velocity-Specific Representation. 5. Review of Existing Techniques. II: Phase-Based Velocity Measurement. 6. Image Velocity as Local Phase Behavior. 7. Experimental Results. 8. Computing 2-D Velocity. III: On Phase Properties of Band-Pass Signals. 9. Scale-Space Phase Stability. 10. Scale-Space Phase Singularities. 11. Application to Natural Images. IV: Conclusions. 12. Summary and Discussion. Appendices: A. Reflectance Model. B. Proof of and n-D Uncertainty Relation. C. Numerical Interpolation and Differentiation of R (x,t). D. Additional Experiments. E. Approximations to E[Deltaphi] and E[|Deltaphi-E[Deltaphi]|] F. Derivations of z1. G. Density Functions for phix(x) and rhox(x)/rho(x). Bibliography. Index.
Product Description
Book by Fleet David J
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- EditoreKluwer Academic Pub
- Data di pubblicazione1992
- ISBN 10 0792391985
- ISBN 13 9780792391982
- RilegaturaCopertina rigida
- LinguaInglese
- Numero di pagine222
- Contatto del produttorenon disponibile
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Measurement of Image Velocity (The Springer International Series in Engineering and Computer Science, 169)
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Condizione: Good. Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Ex-library, so some stamps and wear, but in good overall condition. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions. Codice articolo Z1-C-070-01767
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Measurement of Image Velocity
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ISBN 10: 0792391985
ISBN 13: 9780792391982
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Gebunden. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Measurement of Image Velocity presents a computational framework for computing motion information from sequences of images. Its specific goal is the measurement of image velocity (or optical flow), the projection of 3-D object motion onto the 2-. Codice articolo 5971322
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Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Measurement of Image Velocity presents a computational framework for computing motion information from sequences of images. Its specific goal is the measurement of image velocity (or optical flow), the projection of 3-D object motion onto the 2-D image plane. The formulation of the problem emphasizes the geometric and photometric properties of image formation, and the occurrence of multiple image velocities caused, for example, by specular reflections, shadows, or transparency. The method proposed for measuring image velocity is based on the phase behavior in the output of velocity-tuned filters. Extensive experimental work is used to show that phase can be a reliable source of pure image translation, small geometric deformation, smooth contrast variations, and multiple local velocities. Extensive theorectical analysis is used to explain the robustness of phase with respect to deviations from image translation, and to detect situations in which phase becomes unstable. The results indicate that optical flow may be extracted reliably for computing egomotion and structure from motion. The monograph also contains a review of other techniques and frequency analysis applied to image sequences, and it discusses the closely related topics of zero-crossing tracking, gradient-based methods, and the measurement of binocular disparity. The work is relevant to those studying machine vision and visual perception. 222 pp. Englisch. Codice articolo 9780792391982
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Measurement of Image Velocity
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Buch. Condizione: Neu. Neuware -Measurement of Image Velocity presents a computational framework for computing motion information from sequences of images. Its specific goal is the measurement of image velocity (or optical flow), the projection of 3-D object motion onto the 2-D image plane.The formulation of the problem emphasizes the geometric and photometric properties of image formation, and the occurrence of multiple image velocities caused, for example, by specular reflections, shadows, or transparency. The method proposed for measuring image velocity is based on the phase behavior in the output of velocity-tuned filters. Extensive experimental work is used to show that phase can be a reliable source of pure image translation, small geometric deformation, smooth contrast variations, and multiple local velocities. Extensive theorectical analysis is used to explain the robustness of phase with respect to deviations from image translation, and to detect situations in which phase becomes unstable. The results indicate that optical flow may be extracted reliably for computing egomotion and structure from motion.The monograph also contains a review of other techniques and frequency analysis applied to image sequences, and it discusses the closely related topics of zero-crossing tracking, gradient-based methods, and the measurement of binocular disparity. The work is relevant to those studying machine vision and visual perception.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 222 pp. Englisch. Codice articolo 9780792391982
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Measurement of Image Velocity (The Springer International Series in Engineering and Computer Science, 169)
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Buch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - Measurement of Image Velocity presents a computational framework for computing motion information from sequences of images. Its specific goal is the measurement of image velocity (or optical flow), the projection of 3-D object motion onto the 2-D image plane. The formulation of the problem emphasizes the geometric and photometric properties of image formation, and the occurrence of multiple image velocities caused, for example, by specular reflections, shadows, or transparency. The method proposed for measuring image velocity is based on the phase behavior in the output of velocity-tuned filters. Extensive experimental work is used to show that phase can be a reliable source of pure image translation, small geometric deformation, smooth contrast variations, and multiple local velocities. Extensive theorectical analysis is used to explain the robustness of phase with respect to deviations from image translation, and to detect situations in which phase becomes unstable. The results indicate that optical flow may be extracted reliably for computing egomotion and structure from motion. The monograph also contains a review of other techniques and frequency analysis applied to image sequences, and it discusses the closely related topics of zero-crossing tracking, gradient-based methods, and the measurement of binocular disparity. The work is relevant to those studying machine vision and visual perception. Codice articolo 9780792391982
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