After successful completion of the course, students are able to collect, develop, evaluate and interpret information relevant to 3D computer vision. Students are able to determine requirements and boundary conditions in different areas of 3D computer vision and can apply their acquired knowledge practically in complex 3D computer vision tasks and can work out and develop solutions and arguments for these. Furthermore, students can name, explain and compare the most important theories, principles, concepts and algorithms of 3D computer vision. Their knowledge and understanding corresponds to the state of the art in the field of computer vision.

• How to Acquire and Reconstruct 3D objects                       
• Focus on 3D acquisition
• All 3D Acquisition concepts
• LU is giving the opportunity for hands on experience by acquiring and reconstructing real 3D objects                       
• Geomagic is used as reconstruction software            

Please note that the first lecture is on Monday, March 13 at 14:00!

With the help of digital presentations the subjects of the course are presented and explained.

ECTS Breakdown: 3 ECTS = 75h

30h     Lecture
43.5h  Exam Preparation
1.5h    Exam
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75h

1.5- hour written exam which is typically offered 3 times per term.  Attention: If a written exam is not possible due to COVID19, an oral exam will be offered instead.

Ort: TISS

This lecture describes 3D acquisition systems where basic mathematical knowledge is a prerequisite