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| - | ====== | + | ====== |
| + | ===== SS 2012, TU München ===== | ||
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| ** Organisation: | ** Organisation: | ||
| - | [[members:cremers|Daniel Cremers]]\\ | + | [[members:oswaldm|Martin Oswald]]\\ |
| - | [[members:souiai|Mohamed Souiai]] | + | [[members:steinbrf|Frank Steinbrücker]] |
| - | ** Location:** Seminar room 02.09.023\\ | + | ** Location:** Seminar room 02.09.023 |
| - | ** Time: ** Friday, 11:15--12:30 \\ | + | ** Time and Date:** \\ |
| + | * 6 days with 7-8 hours lectures and supervised practical training each day:\\ | ||
| + | * **Mo-Fr, Sep 17-21 and Mo, Sep 24, 2012**\\ | ||
| + | * After this week students will have time to finish their project independently and to prepare the project presentation (workload approx. 5 days). \\ | ||
| + | |||
| + | The course will be held in English, if desired.\\ | ||
| + | |||
| + | ** Course Registration:** | ||
| + | * send an e-mail with your **name, student id** and **major field of study** to [[martin.oswald@in.tum.de|Martin Oswald]]. Please also indicate that you want to register for the course in **SS2012**. | ||
| + | * register in [[https:// | ||
| + | For students on the waiting list: please wait with the TUMonline registration for offical acceptance to the course. | ||
| + | |||
| + | < | ||
| + | <!--<font color=" | ||
| + | --> | ||
| + | <font color=" | ||
| + | You can still write an email to put your name on a waiting list.</ | ||
| + | </ | ||
| + | \\ | ||
| + | \\ | ||
| + | Note to avoid any confusion: This course takes place at the end of the summer semester 2012 during the semester break. It will also be credited to the summer semester 2012! \\ \\ | ||
| + | ** Start: | ||
| + | |||
| + | ** Requirements: | ||
| + | |||
| + | ** Number of Students: | ||
| + | |||
| + | \\ | ||
| + | ---- | ||
| + | \\ | ||
| + | The goal of this course is to provide an introduction into the NVIDIA CUDA Framework with the C programming language extension. | ||
| + | During the implementation of basic computer vision algorithms students will gradually learn more how to harness the power of GPU computing. | ||
| + | Although we assume good knowledge of the C language and basic mathematics, | ||
| + | During the course students will learn how to program GPUs with CUDA. | ||
| + | Afterwards the students will start to implement more sophisticated computer vision algorithms within a student project. | ||
| + | The course finishes with the presentation of the project results. | ||
| + | ==== Course topics ==== | ||
| + | * Introduction to Parallel Computing | ||
| + | * Introduction to CUDA | ||
| + | * Implementation of Basic Algorithms with CUDA (e.g. convolution, | ||
| + | * Student Project: real-time optical flow estimation | ||
| + | ==== Assignments ==== | ||
| + | * 30 percent: basic implementations | ||
| + | * 50 percent: student project | ||
| + | * 20 percent: project presentation | ||
| - | ^ Speaker | + | ==== Literature ==== |
| - | | Mohamed Souiai |Continuous Multi-Label Optimization with Higher-Order Energies|04.05.2012 | | | + | |
| - | | Christian Kerl |Real-time Dense Visual Odometry for Quadrocopters| 11.05.2012 | {{:teaching: | + | * [[http://developer.nvidia.com/ |
| - | |Prof. Michael Brown| Modeling the Digital Camera Pipeline: From RAW to sRGB and Back|18.05.2012| || | + | |
| - | | Eno Toeppe |Relative Volume Constraints for 3D Image Editing| 25.05.2012 | {{: | + | |
| - | | Lina María Paz Pérez |Large Scale Simmultaneous Localization and Mapping| 01.06.2012 |{{: | + | |
