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Mastering OpenCV with Practical Computer Vision Projects

You're reading from  Mastering OpenCV with Practical Computer Vision Projects

Product type Book
Published in Dec 2012
Publisher Packt
ISBN-13 9781849517829
Pages 340 pages
Edition 1st Edition
Languages
Concepts

Table of Contents (15) Chapters

Mastering OpenCV with Practical Computer Vision Projects
Credits
About the Authors
About the Reviewers
www.PacktPub.com
Preface
1. Cartoonifier and Skin Changer for Android 2. Marker-based Augmented Reality on iPhone or iPad 3. Marker-less Augmented Reality 4. Exploring Structure from Motion Using OpenCV 5. Number Plate Recognition Using SVM and Neural Networks 6. Non-rigid Face Tracking 7. 3D Head Pose Estimation Using AAM and POSIT 8. Face Recognition using Eigenfaces or Fisherfaces Index

References

  • Distinctive Image Features from Scale-Invariant Keypoints (http://www.cs.ubc.ca/~lowe/papers/ijcv04.pdf)

  • SURF: Speeded Up Robust Features (http://www.vision.ee.ethz.ch/~surf/eccv06.pdf)

  • Model-Based Object Pose in 25 Lines of Code, Dementhon and L.S Davis, International Journal of Computer Vision, edition 15, pp. 123-141, 1995

  • Linear N-Point Camera Pose Determination, L.Quan, IEEE Trans. on Pattern Analysis and Machine Intelligence, vol. 21, edition. 7, July 1999

  • Random Sample Consensus: A Paradigm for Model Fitting with Applications to Image Analysis and Automated Cartography, M. Fischer and R. Bolles, Graphics and Image Processing, vol. 24, edition. 6, pp. 381-395, June 1981

  • Multiple View Geometry in Computer Vision, R. Hartley and A.Zisserman, Cambridge University Press (http://www.umiacs.umd.edu/~ramani/cmsc828d/lecture9.pdf)

  • Camera Pose Revisited – New Linear Algorithms, M . Ameller, B.Triggs, L.Quan (http://hal.inria.fr/docs/00/54/83/06/PDF/Ameller-eccv00.pdf)

  • Closed...

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