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Computer Vision Group
TUM School of Computation, Information and Technology
Technical University of Munich

Technical University of Munich

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Informatik IX
Computer Vision Group

Boltzmannstrasse 3
85748 Garching info@vision.in.tum.de

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News

24.10.2024

LSD SLAM received the ECCV 2024 Koenderink Award for standing the Test of Time.

03.07.2024

We have seven papers accepted to ECCV 2024. Check our publication page for more details.

09.06.2024
GCPR / VMV 2024

GCPR / VMV 2024

We are organizing GCPR / VMV 2024 this fall.

04.03.2024

We have twelve papers accepted to CVPR 2024. Check our publication page for more details.

18.07.2023

We have four papers accepted to ICCV 2023. Check out our publication page for more details.

More



Practical Course: GPU Programming in Computer Vision (6h / 10 ECTS)

WS 2013/2014, TU München


Please direct ALL questions regarding this course at cuda-ws1314@in.tum.de.


Evgeny Strekalovskiy
Maria Klodt
Jan Stühmer
Mohamed Souiai

Date and Location

Start: Mo, March 3, 2014, 10:00 – Lab 02.05.014

The course will take place in our lab 02.05.014. The general time is March 3–April 4, with the following timeline:

  • 1 week with lectures and exercises (attendance mandatory): March 3–10
  • 3 weeks project phase: March 11–28
  • final presentation: between March 31–April 4

For more details see Course Layout below.
Note: There will be no course on March 4 (Faschingsdienstag).


Course Registration

The registration for this course has been closed. There are no more places available.

Requirements: Knowledge of C or C++, basic mathematics

Number of participants: up to 30

Course Description

The goal of this course is to provide an introduction to the NVIDIA CUDA framework for massively parallel programming on GPUs. During the implementation of basic computer vision algorithms students will gradually learn more how to harness the power of GPU computing. Although we assume good knowledge of C or C++ and basic mathematics, no further prior knowledge about CUDA, or computer vision topics will be required.

During the course lecture students will learn how to program GPUs with CUDA. Afterwards the students will start to implement more sophisticated computer vision algorithms within a student project. The course finishes with a presentation and a live demo of the project results.

Topics

  • Introduction to Parallel Computing
  • Introduction to CUDA
  • Implementation of basic computer vision algorithms with CUDA (e.g. convolution, diffusion)
  • Student project: Implementation of an advanced computer vision application which uses CUDA acceleration for real-time processing of webcam images.

Layout

  • Lecture (March 3–10): 2–3h lectures each day (attendance mandatory) from 10:00, followed by corresponding programming exercises until 18:00. The exercises must be done in groups of 2–3 students. The groups must be formed on the first day, March 3 (but you can decide on your team already beforehand, of course). You may leave early once you have finished the day's exercises.
  • Project (March 11–28): Implementation of a student project in groups of 2–3 (same groups as in the lecture week). You are free to work from home if you like and all team members agree, but keep in mind that you will require CUDA-capable hardware, and should collaborate within your team. You should also prepare your final presentation during this time.
  • Presentation and demo (March 31–April 4): Each group will be assigned a time slot on one of these days, to present their results and give a live demo, followed by a Q&A session.

Literature

Slides

Additional material can be downloaded from here.

Rechte Seite

Informatik IX
Computer Vision Group

Boltzmannstrasse 3
85748 Garching info@vision.in.tum.de

Follow us on:

YouTube X / Twitter Facebook

News

24.10.2024

LSD SLAM received the ECCV 2024 Koenderink Award for standing the Test of Time.

03.07.2024

We have seven papers accepted to ECCV 2024. Check our publication page for more details.

09.06.2024
GCPR / VMV 2024

GCPR / VMV 2024

We are organizing GCPR / VMV 2024 this fall.

04.03.2024

We have twelve papers accepted to CVPR 2024. Check our publication page for more details.

18.07.2023

We have four papers accepted to ICCV 2023. Check out our publication page for more details.

More