https://cvg.cit.tum.de/ 2026-04-21T18:57:50+00:00 FeedCreator 1.8 (info@mypapit.net) 2015-06-25T08:25:05+00:00 2015-06-25T08:25:05+00:00 https://cvg.cit.tum.de/teaching/ss2015/autonavx?rev=1435220705&do=diff Anonymous anonymous@undisclosed.example.com Autonomous Navigation for Flying Robots (EdX course, 2 ECTS) 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.

Autonomous Navigation for Flying Robots (EdX course, 2 ECTS) 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.

2015-11-13T11:06:42+00:00 2015-11-13T11:06:42+00:00 https://cvg.cit.tum.de/teaching/ss2015/gpucourse_ss2015?rev=1447412802&do=diff Anonymous anonymous@undisclosed.example.com ---------- Practical Course: GPU Programming in Computer Vision (6h / 10 ECTS) SS 2015, TU München cuda-ss15@in.tum.de. Tutors: Thomas Möllenhoff, Robert Maier, Caner Hazirbas Date and Location Start: 07.09.15 The course will take place in our lab 02.05.014 with the following schedule:

---------- Practical Course: GPU Programming in Computer Vision (6h / 10 ECTS) SS 2015, TU München cuda-ss15@in.tum.de. Tutors: Thomas Möllenhoff, Robert Maier, Caner Hazirbas Date and Location Start: 07.09.15 The course will take place in our lab 02.05.014 with the following schedule:

2015-07-30T09:52:54+00:00 2015-07-30T09:52:54+00:00 https://cvg.cit.tum.de/teaching/ss2015/lecture_shape_analysis?rev=1438249974&do=diff Anonymous anonymous@undisclosed.example.com Analysis of Three-Dimensional Shapes (IN2238) (4h + 2h, 8 ECTS) Solutions It is a classical problem in Machine Vision to represent, analyse and compare three-dimensional shapes. In the last years this field has known a fast development leading to a number of very powerful algorithms with a solid mathematical foundation. In this course we will present some of these, discussing both, the mathematics involved and the practical issues for the implementation.

Analysis of Three-Dimensional Shapes (IN2238) (4h + 2h, 8 ECTS) Solutions It is a classical problem in Machine Vision to represent, analyse and compare three-dimensional shapes. In the last years this field has known a fast development leading to a number of very powerful algorithms with a solid mathematical foundation. In this course we will present some of these, discussing both, the mathematics involved and the practical issues for the implementation.

2015-07-24T10:57:57+00:00 2015-07-24T10:57:57+00:00 https://cvg.cit.tum.de/teaching/ss2015/mlpractice_ss2015?rev=1437735477&do=diff Anonymous anonymous@undisclosed.example.com ---------- Practical Course: Machine Learning for Applications in Computer Vision (6h / 10 ECTS) SS 2015, TU München mlpractice@vision.in.tum.de Lecturer: Dr. Rudolph Triebel Tutors: Caner Hazirbas, Philip Häusser Date & Location Slides for the pre-meeting can be found [here]. Start Date: 17.04.2015 Date : Friday from 9 to 11am.

---------- Practical Course: Machine Learning for Applications in Computer Vision (6h / 10 ECTS) SS 2015, TU München mlpractice@vision.in.tum.de Lecturer: Dr. Rudolph Triebel Tutors: Caner Hazirbas, Philip Häusser Date & Location Slides for the pre-meeting can be found [here]. Start Date: 17.04.2015 Date : Friday from 9 to 11am.

2015-07-24T12:50:24+00:00 2015-07-24T12:50:24+00:00 https://cvg.cit.tum.de/teaching/ss2015/multiscale_methods?rev=1437742224&do=diff Anonymous anonymous@undisclosed.example.com Nonlinear Multiscale Methods for Image and Signal Analysis (IN3200) (2h, 4 ECTS) Filtering approaches are a fundamental tool in digital image and signal processing. Classical, linear filtering techniques, e.g. Fourier-based filterings, are well understood: One changes the respresentation of the input data via a linear transform, manipulates the coefficients in the new represenation, and finally inverts that transform. Novel nonlinear filtering techniques coming from variational methods (and rel…

Nonlinear Multiscale Methods for Image and Signal Analysis (IN3200) (2h, 4 ECTS) Filtering approaches are a fundamental tool in digital image and signal processing. Classical, linear filtering techniques, e.g. Fourier-based filterings, are well understood: One changes the respresentation of the input data via a linear transform, manipulates the coefficients in the new represenation, and finally inverts that transform. Novel nonlinear filtering techniques coming from variational methods (and rel…

2015-07-27T15:36:29+00:00 2015-07-27T15:36:29+00:00 https://cvg.cit.tum.de/teaching/ss2015/mvg2015?rev=1438011389&do=diff Anonymous anonymous@undisclosed.example.com ---------- Multiple View Geometry (IN2228) SS 2015, 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, April 22nd 2015 The lecture is held in English.

---------- Multiple View Geometry (IN2228) SS 2015, 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, April 22nd 2015 The lecture is held in English.

2016-01-20T09:15:19+00:00 2016-01-20T09:15:19+00:00 https://cvg.cit.tum.de/teaching/ss2015/seminar_shape_analysis?rev=1453281319&do=diff Anonymous anonymous@undisclosed.example.com ---------- Recent Advances in the Analysis of 3D Shapes The preparation meeting is already over. If you want to participate, but couldn't come, please write an email to Thomas Windheuser . For more information see our [slides of the preparation meeting]. Seminar for computer science master students (IN2107) and

---------- Recent Advances in the Analysis of 3D Shapes The preparation meeting is already over. If you want to participate, but couldn't come, please write an email to Thomas Windheuser . For more information see our [slides of the preparation meeting]. Seminar for computer science master students (IN2107) and

2015-04-13T15:32:24+00:00 2015-04-13T15:32:24+00:00 https://cvg.cit.tum.de/teaching/ss2015/visnav_ss2015?rev=1428939144&do=diff Anonymous anonymous@undisclosed.example.com Practical Course: Vision-based Navigation (6h SWS / 10 ECTS) SS 2015, TU München Organizers: Dr. Jörg Stückler, Vladyslav Usenko, Jakob Engel, Prof. Dr. Daniel Cremers Please direct questions to visnav15@vision.in.tum.de Date & Location Lecture & exercises (assignment phase) : Mondays, lectures approx. 1pm to 3pm in seminar room 02.09.023, tutoring of exercises approx. 3pm to 5pm in lab 02.05.014, (first session: April 13th, 2015)

Practical Course: Vision-based Navigation (6h SWS / 10 ECTS) SS 2015, TU München Organizers: Dr. Jörg Stückler, Vladyslav Usenko, Jakob Engel, Prof. Dr. Daniel Cremers Please direct questions to visnav15@vision.in.tum.de Date & Location Lecture & exercises (assignment phase) : Mondays, lectures approx. 1pm to 3pm in seminar room 02.09.023, tutoring of exercises approx. 3pm to 5pm in lab 02.05.014, (first session: April 13th, 2015)