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Computer Vision

This class was created by Brainscape user Jeremy Robertson. Visit their profile to learn more about the creator.

By: Jeremy Robertson
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Decks in this class (12)

Lecture 1 - Intro to Computer Vision
What is computer vision 1,
What can human vision do and why ...,
What is the understanding of meas...
26  cards
Lecture 2 - Binary Images
How are images represented and ho...,
What is the understanding of pixe...,
What is the understanding of memo...
37  cards
Lecture 3 - Fourier Transform
What is a signal 1,
What is analog and discrete digit...,
What is a 1d vs 2d signal 3
44  cards
Lecture 4 - Filters
What is image enhancement 1,
Why is image enchancement used 2,
What can image enchancement be do...
46  cards
Lecture 5 - Edges
What is the goal of edge detection 1,
What are the factors to determine...,
What is an edge 3
29  cards
Lecture 6 - Object Detection
What is recognition 1,
What is verification 2,
What is identification and catego...
37  cards
Lecture 7 - Feature Detection
What are features 1,
What are feature used for 2,
Why not use raw pixels 3
38  cards
Lecture 8 - Camera Calibration
What is camera calibration 1,
What is the purpose of camera cal...,
What are the application of camer...
21  cards
Lecture 9 - Projective Geometry
What are vanishing points 1,
What are vanishing lines 2,
What is the horizon 3
28  cards
Lecture 10 - Stereo Reconstruction
What is depth ambiguity in an ima...,
Why does a 2d image lack depth 2,
How is depth ambiguity mathematic...
29  cards
Lecture 11 - Optical Flow
What is a video 1,
Why is motion useful 2,
What is optical flow 3
38  cards
Lecture 12 - Deep Learning
What are the three layers in cnns 1,
Do we need all the edges to be co...,
What is a cnn 3
34  cards

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Computer Vision

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