Stanford CS223B Computer Vision, Winter 2007 Lecture 2b Software for Computer Vision - PowerPoint PPT Presentation

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Stanford CS223B Computer Vision, Winter 2007 Lecture 2b Software for Computer Vision

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Software for Computer Vision. Professors Sebastian Thrun and Jana Kosecka ... More advanced functions. Pre-installed in Linux FC6. Inconsistent ... – PowerPoint PPT presentation

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Title: Stanford CS223B Computer Vision, Winter 2007 Lecture 2b Software for Computer Vision


1
Stanford CS223B Computer Vision, Winter
2007 Lecture 2b Software for Computer Vision
  • Professors Sebastian Thrun and Jana Kosecka
  • CAs Vaibhav Vaish and David Stavens

2
Matlab versus OpenCV
  • Extremely easy to use
  • Interpreter compiler
  • Advanced graphics
  • Difficult to install
  • Highly Efficient
  • More advanced functions
  • Pre-installed in Linux FC6
  • Inconsistent

3
Matlab
4
F1 - Matlab Help
5
Basic Matrix Operations (Demo)
6
Live Demo Here
7
A Simple Example
8
A Simple Example, Revisited
  • Check out Image Library, many common routines
    available

9
Try Image Toolbox Demos
10
Blurring Example Demo (1)
11
Blurring Example Demo (2)
  • More steps in Matlab Demo

12
Demo Image Transformations
13
Live Demo Here
14
Matlab Code
15
Matlab Code
16
Output of edge_script.m
17
Figure 4 quiver
18
OpenCV by Gary Bradski, Intel
19
OpenCV Install as rpm
20
OpenCV Code
21
CompilingRunning OpenCV
22
Movies in OpenCV
23
Live Demo Here
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