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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

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


Statistical Methods and Optimization in Computer Vision

WS 2012/13, TU München

Lecture

Location: Room 02.09.023
Date: Thursday, starting at October 25th
Time: 11.15am
Lecturer: Dr. Claudia Nieuwenhuis
ECTS: 4
SWS: 3

Seminar

Location: Room 02.09.023
Date: 6.11.2012, every other week
Time: 10.15am
Lecturer: Eno Töppe

The course will be held in English.

There will be no lecture on January 31st!

Contents

Statistics is the foundation of many powerful tools in computer vision. This lecture will cover a number of widely used and important techniques for the analysis of images containing large amounts of data. We will discuss a selected number of approaches concerning their mathematical theory and implementation details. Topics will cover

- necessary basics in statistics, e.g. distributions, conditional distributions, marginal distributions, cumulative distribution functions, MAP, MLP, Bayes theorem, hypothesis tests

- subspace methods such as principal component analysis, idependent component analysis, linear discriminant analysis, e.g. with application to face recognition

- density estimation and sampling methods such as Parzen density estimation and particle filtering, e.g. with application to image segmentation and tracking

- learning and classification approaches such as Support Vector Machines, Neural Networks, Graphical Models and Dictionary Learning

- optimization methods such as variational approaches, PDEs, MRFs

Slides and Exercises

The lecture slides and exercise sheets can be downloaded here.

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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