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The following readings on Wikipedia are likely to increase your understanding of the topics covered in class. I may add to these as the quarter progresses. Let me know if you find other useful readings.
Overview, geometry
Computer vision
Machine vision
Image processing
Digital image
Perspective projection
Machine vision glossary
Linear algebra, transformations
Linear equation
Linear algebra
Matrix multiplication
Matrix inversion
Linear transformation
Transformation matrix
Bilinear interpolation
Linear filters, convolution
The coverage of some of the following topics
(convolution, cross-correlation) on
Wikipedia is fairly general
(not specific to computer vision), which might limit the
usefulness for this class.
Image noise
Convolution
(concentrate on digital convolution)
Cross-correlation
Gaussian function
Gaussian blur (also known as smoothing)
Image gradient
Edge detection
Edge detection
Sobel operator
(fast and historically important, but not very good)
Marr-Hildreth algorithm
Canny edge detector
(most common current algorithm)
Line fitting - Hough transform, RANSAC
Linear regression
Hough transform
RANSAC
Color, texture
Color image
RGB color model
Trichromacy
Image texture
Texel
Co-occurence matrix
Scale-space
Segmentation
Image segmentation
Adaptive thresholding
Data clustering
K-means clustering
Expectation Maximization
Livewire
Image databases
Image retrieval
Content-based image retrieval
Image histogram
Color histogram
Face detection
Image registration
Stereo vision
Stereo vision
Correspondence problem
Camera resectioning
Epipolar geometry
Image rectification
Binocular disparity
Triangulation
Motion estimation
Motion perception
Structure from motion
Corner detection
Video tracking
Optical flow
Egomotion
Visual odometry
Object recognition
Object recognition
Template matching
Hausdorff distance
Facial recognition system
Eigenface
Geometric hashing
Scale-invariant feature transform
Nearest-neighbor search
Image stitching
Photosynth
Google street view
Vision for mobile robots
Mobile robot
Mars exploration rover
DARPA grand challenge
Digital elevation model
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