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    <title>Computer Vision Group teaching:ss2014</title>
    <subtitle></subtitle>
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    <id>https://cvg.cit.tum.de/</id>
    <updated>2026-04-21T16:37:00+00:00</updated>
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    <entry>
        <title>Autonomous Navigation for Flying Robots (EdX course)</title>
        <link rel="alternate" type="text/html" href="https://cvg.cit.tum.de/teaching/ss2014/autonavx?rev=1403600272&amp;do=diff"/>
        <published>2014-06-24T08:57:52+00:00</published>
        <updated>2014-06-24T08:57:52+00:00</updated>
        <id>https://cvg.cit.tum.de/teaching/ss2014/autonavx?rev=1403600272&amp;do=diff</id>
        <author>
            <name>Anonymous</name>
            <email>anonymous@undisclosed.example.com</email>
        </author>
        <category  term="teaching:ss2014" />
        <content>Autonomous Navigation for Flying Robots (EdX course)

In this course, we will introduce the basic concepts for autonomous navigation with quadrotors, including topics such as probabilistic state estimation, linear control, and path planning.



About this course</content>
        <summary>Autonomous Navigation for Flying Robots (EdX course)

In this course, we will introduce the basic concepts for autonomous navigation with quadrotors, including topics such as probabilistic state estimation, linear control, and path planning.



About this course</summary>
    </entry>
    <entry>
        <title>Practical Course: GPU Programming in Computer Vision (6h / 10 ECTS)</title>
        <link rel="alternate" type="text/html" href="https://cvg.cit.tum.de/teaching/ss2014/gpucourse_ss2014?rev=1410773358&amp;do=diff"/>
        <published>2014-09-15T09:29:18+00:00</published>
        <updated>2014-09-15T09:29:18+00:00</updated>
        <id>https://cvg.cit.tum.de/teaching/ss2014/gpucourse_ss2014?rev=1410773358&amp;do=diff</id>
        <author>
            <name>Anonymous</name>
            <email>anonymous@undisclosed.example.com</email>
        </author>
        <category  term="teaching:ss2014" />
        <content>----------

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

SS 2014, TU München

 cuda-ss14@in.tum.de.






Thomas Möllenhoff

Mohamed Souiai

Maria Klodt

Jan Stühmer

Sahand Sharifzadeh







Date and Location

 Start: Mo, September 8, 2014, 10:00 -- Room 02.09.023 




.




The lecture part of the course will take place in our seminar room 02.09.023 and the exercises will be held in our lab 02.05.014. The general time is September 8</content>
        <summary>----------

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

SS 2014, TU München

 cuda-ss14@in.tum.de.






Thomas Möllenhoff

Mohamed Souiai

Maria Klodt

Jan Stühmer

Sahand Sharifzadeh







Date and Location

 Start: Mo, September 8, 2014, 10:00 -- Room 02.09.023 




.




The lecture part of the course will take place in our seminar room 02.09.023 and the exercises will be held in our lab 02.05.014. The general time is September 8</summary>
    </entry>
    <entry>
        <title>Analysis of Three-Dimensional Shapes (IN2238) (2h + 1h, 4 ECTS)</title>
        <link rel="alternate" type="text/html" href="https://cvg.cit.tum.de/teaching/ss2014/lecture_shape_analysis?rev=1423653093&amp;do=diff"/>
        <published>2015-02-11T11:11:33+00:00</published>
        <updated>2015-02-11T11:11:33+00:00</updated>
        <id>https://cvg.cit.tum.de/teaching/ss2014/lecture_shape_analysis?rev=1423653093&amp;do=diff</id>
        <author>
            <name>Anonymous</name>
            <email>anonymous@undisclosed.example.com</email>
        </author>
        <category  term="teaching:ss2014" />
        <content>Analysis of Three-Dimensional Shapes (IN2238) (2h + 1h, 4 ECTS)



Exam



 Location: Room 02.09.058

 Organization: Please contact us (&lt;windheus@in.tum.de&gt;) and tell us your preferred day and time. If both dates collide with other exams, please let us know. We will find a solution.</content>
        <summary>Analysis of Three-Dimensional Shapes (IN2238) (2h + 1h, 4 ECTS)



Exam



 Location: Room 02.09.058

 Organization: Please contact us (&lt;windheus@in.tum.de&gt;) and tell us your preferred day and time. If both dates collide with other exams, please let us know. We will find a solution.</summary>
    </entry>
    <entry>
        <title>Multiple View Geometry (IN2228)</title>
        <link rel="alternate" type="text/html" href="https://cvg.cit.tum.de/teaching/ss2014/mvg2014?rev=1408448747&amp;do=diff"/>
        <published>2014-08-19T11:45:47+00:00</published>
        <updated>2014-08-19T11:45:47+00:00</updated>
        <id>https://cvg.cit.tum.de/teaching/ss2014/mvg2014?rev=1408448747&amp;do=diff</id>
        <author>
            <name>Anonymous</name>
            <email>anonymous@undisclosed.example.com</email>
        </author>
        <category  term="teaching:ss2014" />
        <content>----------

Multiple View Geometry (IN2228)

SS 2014, TU München

Lecture

 Location: Room 02.09.023

 Time and Date: 

Wednesday 10:15 - 11:45

Thursday 10:15 - 11:00

 Lecturer: Prof. Dr. Daniel Cremers
 Start: Wednesday, 09.04.2014

 The lecture is held in English.</content>
        <summary>----------

Multiple View Geometry (IN2228)

SS 2014, TU München

Lecture

 Location: Room 02.09.023

 Time and Date: 

Wednesday 10:15 - 11:45

Thursday 10:15 - 11:00

 Lecturer: Prof. Dr. Daniel Cremers
 Start: Wednesday, 09.04.2014

 The lecture is held in English.</summary>
    </entry>
    <entry>
        <title>Recent Advances in the Analysis of 3D Shapes</title>
        <link rel="alternate" type="text/html" href="https://cvg.cit.tum.de/teaching/ss2014/seminar_shape_analysis?rev=1453278153&amp;do=diff"/>
        <published>2016-01-20T08:22:33+00:00</published>
        <updated>2016-01-20T08:22:33+00:00</updated>
        <id>https://cvg.cit.tum.de/teaching/ss2014/seminar_shape_analysis?rev=1453278153&amp;do=diff</id>
        <author>
            <name>Anonymous</name>
            <email>anonymous@undisclosed.example.com</email>
        </author>
        <category  term="teaching:ss2014" />
        <content>----------

Recent Advances in the Analysis of 3D Shapes

Seminar for computer science master students (IN2107) and mathematics bachelor and master students.

Organizers

	*  Prof. Dr. Daniel Cremers
	*  Dr. Emanuele Rodolà
	*  Matthias Vestner
	*  Thomas Windheuser

[Shape Matching]
[Shape Descriptors]

Preliminary Meeting

The preliminary meeting is over. All topics are already assigned.</content>
        <summary>----------

Recent Advances in the Analysis of 3D Shapes

Seminar for computer science master students (IN2107) and mathematics bachelor and master students.

Organizers

	*  Prof. Dr. Daniel Cremers
	*  Dr. Emanuele Rodolà
	*  Matthias Vestner
	*  Thomas Windheuser

[Shape Matching]
[Shape Descriptors]

Preliminary Meeting

The preliminary meeting is over. All topics are already assigned.</summary>
    </entry>
    <entry>
        <title>Practical Course: Visual Navigation for Flying Robots (6h SWS)</title>
        <link rel="alternate" type="text/html" href="https://cvg.cit.tum.de/teaching/ss2014/visnav2014?rev=1410341629&amp;do=diff"/>
        <published>2014-09-10T09:33:49+00:00</published>
        <updated>2014-09-10T09:33:49+00:00</updated>
        <id>https://cvg.cit.tum.de/teaching/ss2014/visnav2014?rev=1410341629&amp;do=diff</id>
        <author>
            <name>Anonymous</name>
            <email>anonymous@undisclosed.example.com</email>
        </author>
        <category  term="teaching:ss2014" />
        <content>Practical Course: Visual Navigation for Flying Robots (6h SWS)

In this course, you will develop and implement algorithms for the visual navigation of multicopters. This includes e.g. simultaneous localization and mapping with monocular or stereo cameras, (semi-)dense 3D reconstruction, obstacle perception and avoidance, and autonomous path planning and execution.</content>
        <summary>Practical Course: Visual Navigation for Flying Robots (6h SWS)

In this course, you will develop and implement algorithms for the visual navigation of multicopters. This includes e.g. simultaneous localization and mapping with monocular or stereo cameras, (semi-)dense 3D reconstruction, obstacle perception and avoidance, and autonomous path planning and execution.</summary>
    </entry>
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