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Practical Computer Vision

You're reading from   Practical Computer Vision Extract insightful information from images using TensorFlow, Keras, and OpenCV

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Product type Paperback
Published in Feb 2018
Publisher Packt
ISBN-13 9781788297684
Length 234 pages
Edition 1st Edition
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Author (1):
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Abhinav Dadhich Abhinav Dadhich
Author Profile Icon Abhinav Dadhich
Abhinav Dadhich
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Table of Contents (12) Chapters Close

Preface 1. A Fast Introduction to Computer Vision FREE CHAPTER 2. Libraries, Development Platform, and Datasets 3. Image Filtering and Transformations in OpenCV 4. What is a Feature? 5. Convolutional Neural Networks 6. Feature-Based Object Detection 7. Segmentation and Tracking 8. 3D Computer Vision 9. Mathematics for Computer Vision 10. Machine Learning for Computer Vision 11. Other Books You May Enjoy

References

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  • Rublee Ethan, Vincent Rabaud, Kurt Konolige, and Gary Bradski. ORB: An efficient alternative to SIFT or SURF. In Computer Vision (ICCV), 2011 IEEE international conference on, pp. 2564-2571. IEEE, 2011.
  • Lowe David G. Object recognition from local scale-invariant features. In Computer vision, 1999. The proceedings of the seventh IEEE international conference on, vol. 2, pp. 1150-1157. IEEE, 1999.
  • Bay Herbert, Tinne Tuytelaars, and Luc Van Gool. Surf: Speeded up robust features. Computer vision–ECCV 2006(2006): 404-417.
  • Rosten Edward, and Tom Drummond. Machine learning for high-speed corner detection. Computer Vision–ECCV 2006(2006): 430-443.
  • Calonder Michael, Vincent Lepetit, Christoph Strecha, and Pascal Fua. Brief: Binary...
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