AI News, Introduction to Computer Vision
- On 3. juni 2018
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Introduction to Computer Vision
This course provides an introduction to computer vision including fundamentals of image formation, camera imaging geometry, feature detection and matching, multiview geometry including stereo, motion estimation and tracking, and classification.
We’ll develop basic methods for applications that include finding known models in images, depth recovery from stereo, camera calibration, image stabilization, automated alignment (e.g.
Sparse Representations in Image Processing: From Theory to Practice
Whereas the first course puts emphasis on the theory and algorithms in this field, this course shows how these apply to actual signal and image processing needs.
Its core idea is the description of the data as a linear combination of few building blocks – atoms – taken from a pre-defined dictionary of such fundamental elements.
2018 Congress - Ophthalmic Imaging: from Theory to Current Practice
Friday, October 12th 2018: a Unique Event -
Theoretical Sessions: current practice and evolution -
Technology presentations: new developments -
To improve the theoretical basis and practise in Imaging technics.
- On 24. september 2021
Sparse Representations in Signal and Image Processing: Fundamentals | IsraelX on edX
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