Nixon / Aguado | Feature Extraction and Image Processing for Computer Vision | Buch | 978-0-12-396549-3 | sack.de

Buch, Englisch, 632 Seiten, Format (B × H): 233 mm x 190 mm, Gewicht: 1260 g

Nixon / Aguado

Feature Extraction and Image Processing for Computer Vision


3 ed
ISBN: 978-0-12-396549-3
Verlag: Elsevier Science Publishing Co Inc

Buch, Englisch, 632 Seiten, Format (B × H): 233 mm x 190 mm, Gewicht: 1260 g

ISBN: 978-0-12-396549-3
Verlag: Elsevier Science Publishing Co Inc


Feature Extraction and Image Processing for Computer Vision is an essential guide to the implementation of image processing and computer vision techniques, with tutorial introductions and sample code in Matlab. Algorithms are presented and fully explained to enable complete understanding of the methods and techniques demonstrated. As one reviewer noted, "The main strength of the proposed book is the exemplar code of the algorithms."

Fully updated with the latest developments in feature extraction, including expanded tutorials and new techniques, this new edition contains extensive new material on Haar wavelets, Viola-Jones, bilateral filtering, SURF, PCA-SIFT, moving object detection and tracking, development of symmetry operators, LBP texture analysis, Adaboost, and a new appendix on color models. Coverage of distance measures, feature detectors, wavelets, level sets and texture tutorials has been extended.

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Zielgruppe


<p>University researchers, Research & Development engineers, graduate students.</p>

Weitere Infos & Material


1. Introduction2. Images, Sampling and Frequency Domain Processing3. Basic Image Processing Operations4. Low-Level Feature Extraction (including Edge Detection)5. High-Level Feature Extraction: Fixed Shape Matching6. High-Level Feature Extraction: Deformable Shape Analysis7. Object Description8. Introduction to Texture Description, Segmentation and Classification9. Moving Object Detection and Description10. Appendix 1: Camera Geometry Fundamentals11. Appendix 2: Least Squares Analysis12. Appendix 3: Principal Components Analysis13. Appendix 4: Colour Images


Nixon, Mark
Mark Nixon is the Professor in Computer Vision at the University of Southampton UK. His research interests are in image processing and computer vision. His team develops new techniques for static and moving shape extraction which have found application in biometrics and in medical image analysis. His team were early workers in automatic face recognition, later came to pioneer gait recognition and more recently joined the pioneers of ear biometrics. With Tieniu Tan and Rama Chellappa, their book Human ID based on Gait is part of the Springer Series on Biometrics and was published in 2005. He has chaired/ program chaired many conferences (BMVC 98, AVBPA 03, IEEE Face and Gesture FG06, ICPR 04, ICB 09, IEEE BTAS 2010) and given many invited talks. Dr. Nixon is a Fellow IET and a Fellow IAPR.

Mark Nixon, Professor in Computer Vision, ISIS research group, Department of Electronics and Computer Science, University of Southampton, Southampton, UK.

Affiliations and Expertise
University of Southampton, UK



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