Direkt zum Inhalt springen
Computer Vision Group
TUM School of Computation, Information and Technology
Technical University of Munich

Technical University of Munich

Menu

Links

Informatik IX
Computer Vision Group

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

Follow us on:

News

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.

02.03.2023

CVPR 2023

We have six papers accepted to CVPR 2023. Check out our publication page for more details.

15.10.2022

NeurIPS 2022

We have two papers accepted to NeurIPS 2022. Check out our publication page for more details.

15.10.2022

WACV 2023

We have two papers accepted at WACV 2023. Check out our publication page for more details.

More



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

SS 2011, TU München




Organisation:
Martin Oswald
Frank Steinbrücker

Location: Seminar room 01.07.014 / Lab 02.13.008
Time and Date:

  • 6 days with 7-8 hours lectures and supervised practical training each day:
  • Mo-Fr, September 19-23 and Mo, September 26
  • After this week students will have time to finish their project independently and to prepare the project presentation (workload approx. 5 days).

Course Registration:

  • send an e-mail with your name, student id and major field of study to Martin Oswald.
  • register in TUMonline for the examination in this course.

There is currently no more space available. You can still write an email to put your name on a waiting list.

Start: Mo, Sep 19, 10:00h - seminar room 01.07.014

Requirements: Knowledge in C, basic mathematics

Number of Students: up to 15




The goal of this course is to provide an introduction into the NVIDIA CUDA Framework with the C programming language extension. 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 the C language and basic mathematics, no further prior knowledge about CUDA, or computer vision topics will be required.

During the course 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 the presentation of the project results.

Course topics

  • Introduction to Parallel Computing
  • Introduction to CUDA
  • Implementation of Basic Algorithms with CUDA (e.g. convolution, diffusion)
  • Student Project: real-time optical flow estimation

Assignments

  • 30 percent: basic implementations
  • 50 percent: student project
  • 20 percent: project presentation

Literature

Rechte Seite

Informatik IX
Computer Vision Group

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

Follow us on:

News

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.

02.03.2023

CVPR 2023

We have six papers accepted to CVPR 2023. Check out our publication page for more details.

15.10.2022

NeurIPS 2022

We have two papers accepted to NeurIPS 2022. Check out our publication page for more details.

15.10.2022

WACV 2023

We have two papers accepted at WACV 2023. Check out our publication page for more details.

More