Brainscape's Knowledge GenomeTM

Browse over 1 million classes created by top students, professors, publishers, and experts.


See full index

Image Analysis and Computer Vision

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

By: Mihael Gajic
Start Studying

Decks in this class (16)

Lecture 1 - Digital Image Formation
What is the main purpose of digit...,
Define pinhole camera model,
What are the primary components o...
20  cards
Lecture 2 - Image Formation: Enhancements
What are the primary components o...,
Define sampling in the context of...,
Explain the concept of quantizati...
28  cards
Lecture 3 - Feature Extraction and PCA
What is feature extraction in the...,
Explain the difference between gl...,
What are the primary applications...
28  cards
Lecture 4 - Color and Texture
What is a color space,
Define color constancy,
What is surface reflectance
28  cards
Lecture 5 - Segmentation & Recognition
What is image segmentation,
Describe the k means clustering a...,
Explain the concept of mixture of...
27  cards
Lecture 6 - 3D
What are the primary types of 3d ...,
Define triangulation in the conte...,
What is disparity in stereo vision
27  cards
Lecture 7 - Optical Flow and Tracking
What is motion estimation in imag...,
What are some applications of mot...,
Define optical flow
27  cards
Lecture 8 - Deep Learning Basics
What is machine learning for visu...,
Describe supervised learning,
What is unsupervised learning
27  cards
Lecture 9 - CNNs
What is a convolutional neural ne...,
What is the purpose of convolutio...,
Define filter or kernel in the co...
27  cards
Lecture 10 - Recognition
What is image classification,
Describe the architecture of lenet,
What is alexnet and its significance
27  cards
Lecture 11 - Segmentation
What is image segmentation,
Describe semantic segmentation,
What is a hyper column in the con...
26  cards
Lecture 12 - Detection
What is object detection,
Explain the sliding window approa...,
What is the viola jones face dete...
27  cards
Lecture 13 - Unsupervised Learning
What is unsupervised learning,
What is generative modeling in th...,
Explain unsupervised representati...
27  cards
Lecture 14 - Advanced Topics
What is the purpose of visualizin...,
Explain the concept of a deconvol...,
What is the importance of underst...
27  cards
EXAM_QUESTIONS
1  cards
Additional
What are the parameters in a conv...,
How do you calculate the number o...,
What does the nhwc format represe...
20  cards

More about
Image Analysis and Computer Vision

  • Class purpose General learning

Learn faster with Brainscape on your web, iPhone, or Android device. Study Mihael Gajic's Image Analysis and Computer Vision flashcards now!

How studying works.

Brainscape's adaptive web mobile flashcards system will drill you on your weaknesses, using a pattern guaranteed to help you learn more in less time.

Learn more about spaced repetition

Add your own flashcards.

Either request "Edit" access from the author, or make a copy of the class to edit as your own. And you can always create a totally new class of your own too!

What's Brainscape anyway?

Brainscape is a digital flashcards platform where you can find, create, share, and study any subject on the planet.

We use an adaptive study algorithm that is proven to help you learn faster and remember longer....

Looking for something else?

Computer Vision
  • 1 decks
  • 77 flashcards
  • 1 learners
Decks: Computer Vision, And more!
OV2018 binocular vision
  • 15 decks
  • 679 flashcards
  • 17 learners
Decks: Introduction To Binocular Vision, Manifest And Latent Strabismus, Sensory Fusion, And more!
Medical Imaging
  • 13 decks
  • 554 flashcards
  • 56 learners
Decks: Xray, Ct, Mri, And more!
Find Flashcards
Make Flashcards
Brainscape helps you reach your goals faster, through stronger study habits.
© 2024 Bold Learning Solutions. Terms and Conditions