Computer Vision Group teaching:onlinehttps://cvg.cit.tum.de/2026-04-23T04:54:14+00:00FeedCreator 1.8 (info@mypapit.net)Computer Vision I: Variational Methods2020-04-20T01:48:12+00:002020-04-20T01:48:12+00:00https://cvg.cit.tum.de/teaching/online/cvvm?rev=1587347292&do=diffAnonymousanonymous@undisclosed.example.comComputer Vision I: Variational Methods
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Note: As a TUM student, if you are planning to take the exam and get credits, you are encouraged to participate in current course iteration during the semester.
Summary
Variational Methods are among the most classical techniques for optimization of cost functions in higher dimension. Many challenges in Computer Vision and in other domains of research can be formulated as variational methods. Examples include denoising, deblurring, image…Computer Vision I: Variational Methods
Online Resources
Note: As a TUM student, if you are planning to take the exam and get credits, you are encouraged to participate in current course iteration during the semester.
Summary
Variational Methods are among the most classical techniques for optimization of cost functions in higher dimension. Many challenges in Computer Vision and in other domains of research can be formulated as variational methods. Examples include denoising, deblurring, image…Machine Learning for Robotics and Computer Vision2020-04-20T02:21:11+00:002020-04-20T02:21:11+00:00https://cvg.cit.tum.de/teaching/online/ml4cv?rev=1587349271&do=diffAnonymousanonymous@undisclosed.example.comMachine Learning for Robotics and Computer Vision
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Note: As a TUM student, if you are planning to take the exam and get credits, you are encouraged to participate in current course iteration during the semester.
Summary
In this lecture, the students will be introduced into the most frequently used machine learning methods in computer vision and robotics applications. The major aim of the lecture is to obtain a broad overview of existing methods, and to understand their motiva…Machine Learning for Robotics and Computer Vision
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Note: As a TUM student, if you are planning to take the exam and get credits, you are encouraged to participate in current course iteration during the semester.
Summary
In this lecture, the students will be introduced into the most frequently used machine learning methods in computer vision and robotics applications. The major aim of the lecture is to obtain a broad overview of existing methods, and to understand their motiva…Computer Vision II: Multiple View Geometry2020-04-20T01:57:06+00:002020-04-20T01:57:06+00:00https://cvg.cit.tum.de/teaching/online/mvg?rev=1587347826&do=diffAnonymousanonymous@undisclosed.example.comComputer Vision II: Multiple View Geometry
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Note: As a TUM student, if you are planning to take the exam and get credits, you are encouraged to participate in current course iteration during the semester.
Summary
The lecture introduces the basic concepts of image formation - perspective projection and camera motion. The goal is to reconstruct the three-dimensional world and the camera motion from multiple images. To this end, one determines correspondences between points in v…Computer Vision II: Multiple View Geometry
Online Resources
Note: As a TUM student, if you are planning to take the exam and get credits, you are encouraged to participate in current course iteration during the semester.
Summary
The lecture introduces the basic concepts of image formation - perspective projection and camera motion. The goal is to reconstruct the three-dimensional world and the camera motion from multiple images. To this end, one determines correspondences between points in v…Visual Navigation for Flying Robots2020-04-20T07:48:20+00:002020-04-20T07:48:20+00:00https://cvg.cit.tum.de/teaching/online/visnavfly?rev=1587368900&do=diffAnonymousanonymous@undisclosed.example.comVisual Navigation for Flying Robots
Note for TUM students: Unfortunately, we cannot offer this course any more. See our current courses for alternatives.
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Summary
In recent years, flying robots such as autonomous quadrocopters have gained increased interest in robotics and computer vision research. For navigating safely, these robots need the ability to localize themselves autonomously using their onboard sensors. Potential applications of such systems include the automatic 3…Visual Navigation for Flying Robots
Note for TUM students: Unfortunately, we cannot offer this course any more. See our current courses for alternatives.
Online Resources
Summary
In recent years, flying robots such as autonomous quadrocopters have gained increased interest in robotics and computer vision research. For navigating safely, these robots need the ability to localize themselves autonomously using their onboard sensors. Potential applications of such systems include the automatic 3…