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OpenCV Computer Vision Application Programming
Getting Started with OpenCV
Introduction to OpenCV (2:05)
Installation on Linux (7:11)
Installation on Windows (8:09)
OpenCV Interfaces (2:39)
OpenCV Basics
C Interface Basics (6:17)
C++ Interface Basics (5:44)
Python Interface Basics (3:33)
Drawing Shapes (5:21)
Image Processing
Blurring an Image (3:02)
Understanding Image Morphology (5:44)
Applying Geometric Transforms to an Image (2:58)
Understanding Histograms (5:54)
Segmenting Images and Obtaining Interesting Points
Clustering Data with k-means (6:06)
Segmenting an Image using the Watershed algorithm (6:58)
Segmenting an Image using the Grabcut algorithm (3:24)
Finding and Matching Interesting Points (4:14)
Computational Photography
Creating a Panorama (3:18)
Removing Unwanted Objects (2:17)
Enhancing Low Light Images (1:51)
Working with HDR Images (3:10)
Recognizing Objects
Detecting Shapes (3:28)
Detecting Faces (5:13)
Detecting People (3:43)
Training your own detector (7:03)
Recognizing faces (5:03)
Calibration and Stereo Images
Calibrating the Camera (4:28)
Undistorting an Image (2:22)
Projecting an Image (3:18)
Understanding Stereo Images (6:38)
Generating a Depth Map (4:05)
Introduction to OpenCV
Complete and Continue