Modulbeschreibung
ImageTo3D Stereoscopic View Extension
Kürzel:
Durchführungszeitraum:
ECTS-Punkte:
Lernziele:
The student will learn and apply algorithms, concerned with multiple view geometry such as stereoscopic images, in order to increase the amount of recognized (geometry) points in a point cloud.
Verantwortliche Person:
Standort (angeboten):
Zusätzlich vorausgesetzte Kenntnisse:
Visual Computing
Computer Graphics or an equivalent class. Experience with C++ programming
Some background in geometry or computational geometry is helpful, but not necessary.
Modultyp:
ECTS-Punkte pro Kategorie
Modulbewertung
Bewertungsart:
Leistungsbewertung
Während des Semesters:
Im Kurs "ImageTo3D Stereoscopic View Extension“ wird ein Projekt mittels Bericht und Präsentation bewertet. Im Kurs "Multiple View Geometry“ wird ein Summary bewertet.
Bewertungsart:
Gewichtung:
Im Kurs "ImageTo3D Stereoscopic View Extension“ wird ein Projekt mittels Bericht und Präsentation (Gewicht 80%) bewertet. Im Kurs "Multiple View Geometry“ wird ein Summary (Gewicht 20%) bewertet.
Bemerkungen:
Kurse in diesem Modul
Multiple View Geometry
Kürzel:
Arbeitsaufwand:
Semester:
Lernziele:
The students will learn how to reconstruct the three-dimensional world and the camera motion from multiple images.
Plan und Lerninhalt:
The students will learn how to reconstruct the three-dimensional world and the camera motion from multiple images. For this, focus lies on the determining correspondences between points in various images and respective constraints that allow to compute motion and 3D structure. A particular emphasis lies on mathematical descriptions of rigid body motion and of perspective projection.
For estimating camera motion and 3D geometry both spectral methods and methods of nonlinear optimization are used.
Kursart:
Durchführung gemäss Stundenplan
ImageTo3D Stereoscopic View Extension
Kürzel:
Arbeitsaufwand:
Semester:
Lernziele:
The students will learn how to design, program and analyze algorithms and systems for interactive 3D shape modeling and digital geometry processing out of images from different views, specifically stereoscopic images.
Plan und Lerninhalt:
Multiple View Geometry is the theory of determining geometic properties of objects from one or more source images. These techniques are widely used in robotics and 3D scene recognition to produce meshes.
In order to improve the detection of feature points from stereoscopic source images, new methods should be implemented that make use of multiple view geometry. The assumption should be tested, that this will increase the amount of detected points.
Kursart:
Durchführung gemäss Stundenplan