183.588 SE Seminar aus Computer Vision und Mustererkennung
- Lecturer: Robert Sablatnig
- Place: Sem 183/2
- Ass: Sebastian Zambanini
Motivation for the Course
Communication, both written and oral, is crucial in most graduate jobs, whether in the commercial or the scientific sector. The successful presentation of one's own work depends on well-developed communication skills. In the more specific context of international scientific conferences, many more papers and presentations would be accepted if the manner in which they were presented were improved.
Aims and Objectives
The aim of this course is to improve students' performance in developing and organizing ideas and in preparing effective documents and talks. The focus is specifically on scientific communication, which refers to the presentation of scientific results and hypotheses in the primary scientific literature, in other kinds of review and popular literature, and as talks at conferences.
The purpose of this course is to help students to communicate ideas better and to learn the skills of scientific communication. The main aims are:
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to improve communication skills
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to concentrate on scientific communication, both written and oral
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to learn about how scientific communication is performed
at workshops, conferences, and in journals.
Further goals include training graduate and PhD students how to
- access information about different topics, such as research results, conferences, etc., in paper-based publications and on the WWW
- to write abstracts, extended abstracts, and articles
for acceptance at international conferences and publications
(both with regard to language and contents) - to review and assess submissions to scientific conferences.
Contents
Topics include discussion and review of different kinds of publications such as theses, articles, survey articles, books, abstracts, etc. Writing exercises (dealing with content as well as language) will include the students own cv's, abstracts, extended abstracts, and papers.
Topic for summer term 2013: Image-Based Separation and Classification of Electronic Waste
The purpose of electronic waste separation is an improved recycling of the base materials of electronic components. For image-based waste separation and classification methods of image segmentation, feature extraction and object recognition have to be investigated.
Subtopics of seminar:
- Electronic component segmentation
- Image features for object recognition
- Methods for object recognition
- Automatic waste separation based on visual object recognition
Organization:
- Registration: online via TISS
- Lessons: The lessons are organized as blocks on Tuesdays 12.30-16.00ct (see schedule), 1st lecture: Tue, 5.3.2013 12.30 - 16.00 c.t., Seminarraum 183/2, Favoritenstr. 9, 1st staircase, 4th floor