Faculty of Technical Sciences

Subject: 3D digitization methods (17.IA018)

Native organizations units: Department of Production Engineering, Chair of Animation in Engineering
General information:
 
Category Theoretical-methodological
Scientific or art field Design
ECTS 5

Mastering basic knowledge in the field of 3D digitalization and reverse engineering for the purposes of modeling complex geometry objects.

Ability to apply 3D digitalization systems and techniques of reversible engineering in modeling complex geometry objects, especially in digitalization of human figure and other characters.

Reverse engineering – concepts, fields of application and methodology. 3D digitalization – concept, methods and procedures. Sensors for 3D digitalization (contact and contactless). Pre-processing results of 3D digitalization (filtering, aligning, reduction and segmentation of the point clouds). Reconstruction of surfaces – techniques of surface and volume model generation based on the pre-processing point clouds.

The course is held interactively in the form of lectures, auditory, laboratory and computer practice. During lectures theoretical part of the course is presented and followed by typical examples in order to better understand the matter taught. Within auditory practice typical problems are solved and the knowledge from the lectures is deepened, while during auditory practice acquired knowledge is practically applied in the modern laboratory. During computer practice skills from the observed field are mastered by application of computer equipment and specialized software systems. Besides lectures and practice, consultations are held on a regular basis.

Authors Title Year Publisher Language
Hjelle, Oyvind, Dæhlen, Morten Triangulations and Applications 2006 Springer-Verlag English
Course activity Pre-examination Obligations Number of points
Test Yes Yes 10.00
Final exam - part one No No 25.00
Test Yes Yes 10.00
Test Yes Yes 10.00
Final exam - part two No No 25.00
Exercise attendance Yes Yes 5.00
Lecture attendance Yes Yes 5.00
Test Yes Yes 10.00
Written part of the exam - tasks and theory No Yes 50.00
Presentation Yes No 10.00
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Prof. Budak Igor

Full Professor

Lectures
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Asst. Prof. Šokac Mario

Assistant Professor

Lectures
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Asst. Prof. Santoši Željko

Assistant Professor

Lectures
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Prof. Budak Igor

Full Professor

Computational classes
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Asst. Prof. Šokac Mario

Assistant Professor

Computational classes
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Asst. Prof. Santoši Željko

Assistant Professor

Computational classes

Faculty of Technical Sciences

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© 2024. Faculty of Technical Sciences.