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teaching:ss2018:seminar_shape_analysis [2018/01/18 18:44] esteller |
teaching:ss2018:seminar_shape_analysis [2018/01/21 19:17] Prof. Dr. Jörg Stückler |
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- | ====== Shape Analysis ====== | + | ====== |
- | **Please register over the TUM matching system.** | + | Summer term 2018. |
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- | Seminar for **computer science** master students (IN2107) and **mathematics** bachelor and master students. | + | |
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- | == First Meeting (Introduction) == | + | |
- | ** Location:** Room 02.09.023\\ | + | |
- | ** Time and Date:** Friday, 26th January, 14:00\\ | + | |
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- | == Weekly Meetings (Presentation) == | + | |
- | ** Location:** Room 02.09.023\\ | + | |
- | ** Time and Date:** Tuesday, 13:00 - 15:00\\ | + | |
- | ** Start:** Tuesday, 17th April\\ | + | |
- | Presentations should be held in English. | + | |
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- | ** Contact: **'' | + | |
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- | ===== Description ===== | + | |
- | Even though 3D objects have been used for decades in computer science, methods for the automatic analysis, recognition, | + | |
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- | In this seminar, we will review classical approaches to represent and analyze shapes and then study methods for automatic retrieval, matching, and processing of 3D models. The course will touch upon the most recent advances in the field. Particular emphasis will be put on defining similarity between shapes, descriptors that simplify their analysis, and developing efficient algorithms to match shapes and analyze their deformations. We will also discuss new research directions for shape analysis in real-world scenarios, such as those arising in practical applications where the 3D data is captured with depth sensors and the shapes suffer from noise and artifacts. | + | |
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- | ===== Organizers ===== | ||
- | * [[members: | ||
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- | ===== Final Report ===== | ||
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- | Final reports should be written in LaTeX using the provided template: {{: | ||
- | ===== Timetable ===== | ||
- | Each week there will be two presentations. More details are listed [[teaching: |