Image Processing‚ Analysis‚ and Machine Vision Second Edition Milan Sonka Vaclav Hlavac Roger Boyle Contents List of algorithms xiii List of symbols and abbreviations xvii Preface xix Course contents xxiii 1 Introduction 1 1.1 Summary 1.2 Exercises 1.3 References 8 8 9 2 The digitized image and its properties 2.1 Basic concepts 2.1.1 Image functions 2.1.2 The Dirac distribution and convolution 2.1.3 The Fourier transform 2.1.4 Images as
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Real Time 3D Face Alignment with Random Forests-based Active Appearance Models Gabriele Fanelli‚ Matthias Dantone‚ Luc Van Gool Computer Vision Laboratory‚ ETH Zurich‚ Sternwartstrasse 7‚ 8092 Zurich‚ Switzerland {fanelli/dantone/vangool}@vision.ee.ethz.ch Abstract— Many desirable applications dealing with automatic face analysis rely on robust facial feature localization. While extensive research has been carried out on standard 2D imagery‚ recent technological advances made the acquisition
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sampling. In Proc. ICCV‚ pp. 1033–1038‚ Kerkyra‚ Greece‚ Sep 1999. [11] W.T. Freeman‚ E.C. Pasztor‚ and O.T. Carmichael. Learning lowlevel vision. Int. J. Computer Vision‚ 40(1):25–47‚ 2000. [16] H. Igehy and L. Pereira. Image replacement through texture synthesis. In Proc. Int. Conf. Image Processing‚ pp. III:186–190‚ 1997. [17] G. Kanizsa. Organization in Vision. Praeger‚ New York‚ 1979. on Graphics‚ 2001. Conf. Image Processing‚ Chicago‚ 1998. [21] S. Rane‚ G. Sapiro‚ and M. Bertalmio. Structure
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system for outdoor night surveillance Kaiqi Huang a ‚ ∗ ‚ Liangsheng Wang a ‚ Tieniu Tan a ‚ Steve Maybank b a National Laboratory of Pattern Recognition‚ Institute of Automation‚ Chinese Academy of Sciences‚ Beijing 100080‚ China b School of Computer Science and Information Systems‚ Birkbeck College‚ Malet Street‚ London WC1E 7HX‚ UK Received 27 April 2006; received in revised form 31 March 2007; accepted 23 May 2007 Abstract Autonomous video surveillance and monitoring has a rich history
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References: Conference on Computer Vision and Pattern Recognition‚ pages 774–781‚ 2000. Machine Vision Conference‚ pages 253–262‚ Cardiff‚ 2002.
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WORK-RELATED DEVICES 1. IPad VOICE OVER – an application used during exams. “With ipad you can replay questions over and over through your headset.” 2. ORCAM GLASSES – glasses with attached camera on its side. Use advanced computer vision to help the visually impaired and blind regain the functionalities that were lost. 3. VOICE STICK – a portable text scanning device for the visually impaired. When it scans printed letters‚ the OCR (Optical Character Recognition) function recognizes the texts
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A Paper presentation on REAL TIME IMAGE PROCESSING APPLIED TO TRAFFIC – QUEUE DETECTION ALGORITHM [pic] ABSTRACT_____________________ This paper primarily aims at the new technique of video image processing used to solve problems associated with the real-time road traffic control systems. There is a growing demand for road traffic data of all kinds. Increasing congestion problems and problems associated with existing detectors
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Gavrila V. Philomin Image Understanding Systems DaimlerChrysler Research Ulm 89081‚ Germany dariu.gavrila@DaimlerChrysler.com Computer Vision Laboratory University of Maryland College Park‚ MD 20742‚ U.S.A. vasi@cs.umd.edu ABSTRACT This paper presents an e cient shape-based object detection method based on Distance Transforms and describes its use for real-time vision on-board vehicles. The method uses a template hierarchy to capture the variety of object shapes; e cient hierarchies can be generated
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ICIP 2005 Tutorial Image Registration: A Survey and Recent Advances Presented by Barbara Zitov´ a Jan Flusser ˇ Filip Sroubek Institute of Information Theory and Automation Academy of Sciences of the Czech Republic Pod vod´renskou vˇˇ´ 4‚ 182 08 Prague 8‚ Czech Republic a ezı E-mail: {zitova‚flusser‚sroubekf}@utia.cas.cz This is complementary material for ICIP’05 tutorial ”Image Registration: A Survey and Recent Advances”. It aims to present a review of recent as well as classic image registration
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Rock art documentation by using multispectral is becoming popular in the cultural heritage domain. Multispectral is a camera with multi-lenses and sensors‚ which can take pictures of an object by multi-wavelength at the same scene. Usually‚ the advantage of using multispectral is it can detect an invisible object because it equipped with Near Infra-red (NIR) band‚ which is useful in reflecting the invisible spectrum. However‚ in the application of rock art documentation‚ multispectral is only focused
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