After successful completion of the course, students are able to identify, explain, and contrast the most important theories, principles, concepts, and algorithms of this particular application of Computer Vision. Their knowledge and understanding corresponds to the state of the art literature in the field of Computer Vision for Cultural Heritage. They are able to apply appropriate formal-mathematical methods for modeling, abstraction, solution finding and evaluation, and gain problem-formulation and problem-solving skills.

The lecture will focus on new sensor technologies and methods for field recording and data capture and will include the following topics: 3D scanning and plotting for CH, 3D reconstruction and 3D surface modeling techniques including VR museum applications for CH, project studies and experiences, data organization and data exchange, planning of CH projects, high resolution multispectral imaging and will give an insight to all related fields in CH preservation like historic preservation, documents and archives, sites and monuments, living cultural heritage, and cultural property. Examples of such systems include On Site Reconstruction Experience, Multimodal Interface for Safe Presentation of Valuable Objects, Tools for Stratigraphic Data Recording, e-Tourism through Cultural Routes, Archaeological documentation for the Semantic Web, and Image-based Modeling to name a few.

Frontal presentation and oral examination, independent solving and scientific discussion of subject-specific examples in the context of the exam. The course consists only of a lecture part, the contents and concepts described are explained in the context of the lecture unit.

Starts May 20th!

ECTS Breakdown: 3 ECTS = 75h

16.5h  Lecture
58h     Exam Preparation
0.5h    Exam
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75h

Oral examination where application examples should be explained by the student

this lecture is intended as follow up for 3D Vision with a specific focus on applications in the area of Cultural Heritage Preservation.