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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

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


  • Active Appearance Models, T.F. Cootes, G. J. Edwards, and C. J. Taylor, ECCV, 2:484–498, 1998 (http://www.cs.cmu.edu/~efros/courses/AP06/Papers/cootes-eccv-98.pdf )

  • Active Shape Models – Their Training and Application, T.F. Cootes, C.J. Taylor, D.H. Cooper, and J. Graham, Computer Vision and Image Understanding, (61): 38–59, 1995 (http://www.wiau.man.ac.uk/~bim/Papers/cviu95.pdf)

  • The MUCT Landmarked Face Database, S. Milborrow, J. Morkel, and F. Nicolls, Pattern Recognition Association of South Africa, 2010 (http://www.milbo.org/muct/)

  • The IMM Face Database – An Annotated Dataset of 240 Face Images, Michael M. Nordstrom, Mads Larsen, Janusz Sierakowski, and Mikkel B. Stegmann, Informatics and Mathematical Modeling, Technical University of Denmark, 2004, (http://www2.imm.dtu.dk/~aam/datasets/datasets.html)

  • Sur la sphère vide, B. Delaunay, Izvestia Akademii Nauk SSSR, Otdelenie Matematicheskikh i Estestvennykh Nauk, 7:793–800, 1934

  • Active Appearance Models for Facial Expression...

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