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    <title>Computer Vision Group data:software</title>
    <subtitle></subtitle>
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    <updated>2026-04-19T23:02:01+00:00</updated>
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    <entry>
        <title>Dense Visual SLAM</title>
        <link rel="alternate" type="text/html" href="https://cvg.cit.tum.de/data/software/dvo?rev=1382626688&amp;do=diff"/>
        <published>2013-10-24T16:58:08+00:00</published>
        <updated>2013-10-24T16:58:08+00:00</updated>
        <id>https://cvg.cit.tum.de/data/software/dvo?rev=1382626688&amp;do=diff</id>
        <author>
            <name>Anonymous</name>
            <email>anonymous@undisclosed.example.com</email>
        </author>
        <category  term="data:software" />
        <content>Dense Visual SLAM

The dvo_slam packages provide an implementation of our dense visual SLAM system for RGB-D cameras. The SLAM system builds upon our Dense Visual Odometry (see below). It extends the odometry approach to include a geometric error term and perform frame-to-keyframe matching. Each new keyframe is inserted into a pose graph. Additionally we search for loop closures to older keyframes. These loop closures provide additional constraints for the pose graph. The graph is incrementally …</content>
        <summary>Dense Visual SLAM

The dvo_slam packages provide an implementation of our dense visual SLAM system for RGB-D cameras. The SLAM system builds upon our Dense Visual Odometry (see below). It extends the odometry approach to include a geometric error term and perform frame-to-keyframe matching. Each new keyframe is inserted into a pose graph. Additionally we search for loop closures to older keyframes. These loop closures provide additional constraints for the pose graph. The graph is incrementally …</summary>
    </entry>
    <entry>
        <title>Planar Cut Source Code</title>
        <link rel="alternate" type="text/html" href="https://cvg.cit.tum.de/data/software/planarcut?rev=1357811825&amp;do=diff"/>
        <published>2013-01-10T10:57:05+00:00</published>
        <updated>2013-01-10T10:57:05+00:00</updated>
        <id>https://cvg.cit.tum.de/data/software/planarcut?rev=1357811825&amp;do=diff</id>
        <author>
            <name>Anonymous</name>
            <email>anonymous@undisclosed.example.com</email>
        </author>
        <category  term="data:software" />
        <content>Planar Cut Source Code

The PlanarCut library computes max-flow/min-s-t-cut on planar graphs. It implements an efficient algorithm, which has almost linear running time. The library also provides for several easy-to-use interfaces in order to define planar graphs that are common in computer vision applications (see</content>
        <summary>Planar Cut Source Code

The PlanarCut library computes max-flow/min-s-t-cut on planar graphs. It implements an efficient algorithm, which has almost linear running time. The library also provides for several easy-to-use interfaces in order to define planar graphs that are common in computer vision applications (see</summary>
    </entry>
    <entry>
        <title>Visual Navigation for the Parrot AR.Drone (ROS Package)</title>
        <link rel="alternate" type="text/html" href="https://cvg.cit.tum.de/data/software/tum_ardrone?rev=1404752140&amp;do=diff"/>
        <published>2014-07-07T18:55:40+00:00</published>
        <updated>2014-07-07T18:55:40+00:00</updated>
        <id>https://cvg.cit.tum.de/data/software/tum_ardrone?rev=1404752140&amp;do=diff</id>
        <author>
            <name>Anonymous</name>
            <email>anonymous@undisclosed.example.com</email>
        </author>
        <category  term="data:software" />
        <content>Visual Navigation for the Parrot AR.Drone (ROS Package)

The tum_ardrone Robot Operating System (ROS) package allows to let the Parrot AR.Drone fly autonomously, using PTAM-based, visual navigation. The package repository is currently maintained by Jakob Engel. 
The documentation and repository can be found on the ROS wiki pages:</content>
        <summary>Visual Navigation for the Parrot AR.Drone (ROS Package)

The tum_ardrone Robot Operating System (ROS) package allows to let the Parrot AR.Drone fly autonomously, using PTAM-based, visual navigation. The package repository is currently maintained by Jakob Engel. 
The documentation and repository can be found on the ROS wiki pages:</summary>
    </entry>
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