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    <title>Machine Vision</title>
    <subtitle></subtitle>
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    <updated>2026-04-14T10:13:41+00:00</updated>
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    <entry>
        <title>Machine Vision</title>
        <link rel="alternate" type="text/html" href="https://mv.in.tum.de/home?rev=1613073933&amp;do=diff"/>
        <published>2021-02-11T21:05:33+00:00</published>
        <updated>2021-02-11T21:05:33+00:00</updated>
        <id>https://mv.in.tum.de/home?rev=1613073933&amp;do=diff</id>
        <author>
            <name>Anonymous</name>
            <email>anonymous@undisclosed.example.com</email>
        </author>
        <content>Welcome to the Professorship for

Machine Vision

Machine Vision is an interdisciplinary field of research and engineering at the intersection of informatics, mathematics, physics, and electrical and mechanical engineering. It is used in dozens of application areas whenever there is a need to automate processes. Our research focuses on developing new methods that are suitable for the machine vision industry and on extending research results in such a way that the meet the stringent demands of th…</content>
        <summary>Welcome to the Professorship for

Machine Vision

Machine Vision is an interdisciplinary field of research and engineering at the intersection of informatics, mathematics, physics, and electrical and mechanical engineering. It is used in dozens of application areas whenever there is a need to automate processes. Our research focuses on developing new methods that are suitable for the machine vision industry and on extending research results in such a way that the meet the stringent demands of th…</summary>
    </entry>
    <entry>
        <title>Contact</title>
        <link rel="alternate" type="text/html" href="https://mv.in.tum.de/impressum?rev=1612531539&amp;do=diff"/>
        <published>2021-02-05T14:25:39+00:00</published>
        <updated>2021-02-05T14:25:39+00:00</updated>
        <id>https://mv.in.tum.de/impressum?rev=1612531539&amp;do=diff</id>
        <author>
            <name>Anonymous</name>
            <email>anonymous@undisclosed.example.com</email>
        </author>
        <content>Contact

Prof. Dr. Carsten Steger





Technische Universität München

Fakultät für Informatik

Boltzmannstraße 3

85748 Garching



Telefon:  +49 (89) 289-17756 (Sekretariat Sabine Wagner)

Telefax: +49 (89) 289-17757

Email:  info@iuks.in.tum.de

Website: &lt;http://iuks.in.tum.de&gt;


Impressum

Inhaltliche Verantwortung</content>
        <summary>Contact

Prof. Dr. Carsten Steger





Technische Universität München

Fakultät für Informatik

Boltzmannstraße 3

85748 Garching



Telefon:  +49 (89) 289-17756 (Sekretariat Sabine Wagner)

Telefax: +49 (89) 289-17757

Email:  info@iuks.in.tum.de

Website: &lt;http://iuks.in.tum.de&gt;


Impressum

Inhaltliche Verantwortung</summary>
    </entry>
    <entry>
        <title>members</title>
        <link rel="alternate" type="text/html" href="https://mv.in.tum.de/members?rev=1612785150&amp;do=diff"/>
        <published>2021-02-08T12:52:30+00:00</published>
        <updated>2021-02-08T12:52:30+00:00</updated>
        <id>https://mv.in.tum.de/members?rev=1612785150&amp;do=diff</id>
        <author>
            <name>Anonymous</name>
            <email>anonymous@undisclosed.example.com</email>
        </author>
     <summary>no summary</summary>
    </entry>
    <entry>
        <title>Publications</title>
        <link rel="alternate" type="text/html" href="https://mv.in.tum.de/publications?rev=1774091484&amp;do=diff"/>
        <published>2026-03-21T12:11:24+00:00</published>
        <updated>2026-03-21T12:11:24+00:00</updated>
        <id>https://mv.in.tum.de/publications?rev=1774091484&amp;do=diff</id>
        <author>
            <name>Anonymous</name>
            <email>anonymous@undisclosed.example.com</email>
        </author>
        <content>Publications

2026

Lars Heckler-Kram, Jan-Hendrik Neudeck, Ulla Scheler, Rebecca König, Carsten Steger: The MVTec AD 2 Dataset: Advanced Scenarios for Unsupervised Anomaly Detection; in: International Journal of Computer Vision 134, Article 175, 2026.</content>
        <summary>Publications

2026

Lars Heckler-Kram, Jan-Hendrik Neudeck, Ulla Scheler, Rebecca König, Carsten Steger: The MVTec AD 2 Dataset: Advanced Scenarios for Unsupervised Anomaly Detection; in: International Journal of Computer Vision 134, Article 175, 2026.</summary>
    </entry>
    <entry>
        <title>Teaching</title>
        <link rel="alternate" type="text/html" href="https://mv.in.tum.de/teaching?rev=1757593911&amp;do=diff"/>
        <published>2025-09-11T14:31:51+00:00</published>
        <updated>2025-09-11T14:31:51+00:00</updated>
        <id>https://mv.in.tum.de/teaching?rev=1757593911&amp;do=diff</id>
        <author>
            <name>Anonymous</name>
            <email>anonymous@undisclosed.example.com</email>
        </author>
        <content>WS2025

Lectures

	*  Industrielle Bildverarbeitung (IN2369)</content>
        <summary>WS2025

Lectures

	*  Industrielle Bildverarbeitung (IN2369)</summary>
    </entry>
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