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== Daten == {{LVA-Daten | ects = 3 | vortragende = [[tiss.person:38392|Margrit Gelautz]] | abteilung = Visual Computing and Human-Centered Technology | homepage = https://tuwel.tuwien.ac.at/course/view.php?id=18196 | id =188513 | wann = SS | sprache = en | alias = Stereo Vision@en | letzte_abhaltung = 2021SS | zuordnungen = {{Zuordnung|E066932|Bild- und Video-Analyse und -Synthese|wahl=1}} {{Zuordnung|E066935|Image and Video Analysis & Synthesis|wahl=1}} }} {{mattermost-channel|stereo-vision}} == Inhalt == The content of the course is Stereo Vision Pipeline (Epipolar Rectification, Stereo Matching and Depth via Triangulation) and methods for Stereo Matching. == Ablauf == 6 course dates in May/June + 1 preliminary session in March At the end of the semester there is a written exam. == Benötigte/Empfehlenswerte Vorkenntnisse == Video Analysis is recommended, but not compulsory. == Vortrag == noch offen == Übungen == 4 exercises that build upon each other, where you have to implement and evaluate a stereo matching pipeline == Prüfung, Benotung == 4 topics (8 points each) with 2-3 questions (e.g. Local Stereo Matching). === Dauer der Zeugnisausstellung === noch offen == Zeitaufwand == 3-4 days intensively studying is sufficient. == Materialien == [[TU_Wien:Stereo_Vision_VU_(Gelautz)/Prüfung_2019-06-26]] == Tipps == Prof. Gelautz legt auf ein Überblicksverständnis wert, also beim Lernen auf das Big-Picture achten. Bei ihren Prüfungen stellt sie auch gerne Fragen zu ihren Exkursionen als Alternativfrage zu dem Paper das auch Prüfungsstoff ist. Also Anwesenheit zahlt sich aus, um diese "leichtere" Frage beantworten zu können. == Verbesserungsvorschläge / Kritik == noch offen
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