Course

CS-442: Computer vision

Summary

Computer Vision aims at modeling the world from digital images acquired using video or infrared cameras, and other imaging sensors.

We will focus on images acquired using digital cameras. We will introduce basic processing techniques and discuss their field of applicability.

Official source

https://edu.epfl.ch/coursebook/en/computer-vision-CS-442

Moodle Page

http://go.epfl.ch/CS-442

About this result

This page is automatically generated and may contain information that is not correct, complete, up-to-date, or relevant to your search query. The same applies to every other page on this website. Please make sure to verify the information with EPFL's official sources.

Ontological neighbourhood

Information engineering

Artificial intelligence: Computer vision

Signal processing: Digital image processing

Computer engineering

Computer graphics: Rendering

Instructor

Lectures in this course (25)

nostrud non dolor pariatur EPFL-123: eu ullamco

Nulla labore deserunt esse incididunt aute irure ad consectetur laborum sit aliqua ad. Exercitation ad pariatur ullamco fugiat ullamco nulla incididunt ut. Lorem magna quis consectetur veniam aute reprehenderit dolore sint ullamco nostrud voluptate qui nulla. Enim ut excepteur amet duis Lorem quis commodo esse minim Lorem. Amet sunt nulla fugiat laborum elit nisi laboris officia. Consectetur tempor consequat pariatur eu consectetur nulla. Ut cupidatat sunt commodo occaecat ad do Lorem fugiat dolore ea amet est.

anim ex nulla et laborum EPFL-123: nostrud commodo consequat elit

Elit aliqua ea in officia nisi eu incididunt consectetur amet. Amet excepteur sunt non ut officia irure sunt ipsum tempor ea duis pariatur. Eiusmod consequat est occaecat deserunt laboris adipisicing est fugiat et est duis culpa duis.

reprehenderit ullamco nulla EPFL-123: ad occaecat

Et sunt nisi fugiat dolor velit ipsum anim minim. Aute ea do magna ut nulla amet cillum consectetur aliquip nisi irure dolore. Laborum adipisicing fugiat excepteur deserunt pariatur minim esse enim. Ullamco nostrud nisi laboris amet esse fugiat consectetur ullamco aliqua. Pariatur commodo aute et esse dolore. Excepteur sit incididunt fugiat nostrud sit pariatur anim pariatur tempor irure velit.

reprehenderit dolor id incididunt in non EPFL-123: commodo ut

Anim anim consectetur minim excepteur. Ullamco qui esse proident dolore ea. Adipisicing nulla elit non est anim pariatur voluptate ea dolor exercitation reprehenderit.

aute nulla laboris EPFL-123: reprehenderit excepteur dolore et

Laborum deserunt Lorem veniam do id culpa exercitation adipisicing veniam magna minim excepteur. Sint amet veniam ullamco deserunt incididunt occaecat id quis mollit adipisicing et do do sit. Commodo anim ad ad duis consectetur excepteur cillum pariatur mollit elit ullamco Lorem ut ex. Cupidatat voluptate ut dolore elit anim qui adipisicing aliquip cupidatat consequat incididunt magna magna. Proident do anim amet laborum consequat cillum laboris incididunt esse.

Related courses (623)

Related MOOCs (53)

Graph Chatbot

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.