Seminar: ANNs for depth estimation, 3D reconstruction and 3D printing - Details

Seminar: ANNs for depth estimation, 3D reconstruction and 3D printing - Details

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Veranstaltungsname Seminar: ANNs for depth estimation, 3D reconstruction and 3D printing
Untertitel
Veranstaltungsnummer 8.3314
Semester SoSe 2017
Aktuelle Anzahl der Teilnehmenden 47
Heimat-Einrichtung LE Cognitive Science
Veranstaltungstyp Seminar in der Kategorie Offizielle Lehrveranstaltungen
Erster Termin Freitag, 07.04.2017 14:00 - 16:00, Ort: 93/E07
Art/Form
SWS 2
Sprache Englisch
ECTS-Punkte 4

Räume und Zeiten

93/E07
Freitag: 14:00 - 16:00, wöchentlich (12x)

Kommentar/Beschreibung

Prerequisites: Basic knowledge about computer vison, artificial neuro-networks (ANN), and programming experience (e.g. C++, openCV, Keras MATLAB ), strong interest in the reconstruction of replicas using multiple algorithms. </p>

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How to use artificial neuro-networks (ANN) to predict depth information from a monocular camera, to reconstruct 3D structures from photos, to preprocess 3D objects for 3D printing? Or even come up with own topic related ideas. This practical course will attempt to create new ideas as well as first prototypes applying ANNs in the domain of 3D computer vision and 3D printing.
By creating own ideas and by implementing them, students attending this course will learn to transfer their theoretical knowledge into real prototypes and also learn how to set up the necessary hardware.