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Stereo Image Processing
Passive depth analysis using stereo image processing is applied in a large variety of domains such as media production, robotic, quality control, and production, medical, security and remote sensing. New visualization techniques, like Virtual and Augmented Reality offer completely new application scenarios. In this course, the fundamentals of projective geometry is taught and and the geometric relationship between two camera views is presented. In this context, the estimation of camera parameters and the correspondence analysis in stereo images and videos will be discussed. The practical use of stereo image processing is illustrated by current research projects at Fraunhofer Heinrich Hertz Institute.
Title | Cycle | SWS | Component | Room | Lecturer |
---|---|---|---|---|---|
Stereo Image Processing | WS | 2 | VL | online | Schreer |
This lecture is part of the module no. 40116. | |||||
All information, scripts, exercises can be found on ISIS!!! |
Literature
Author | Title | Edition | Publisher | Year |
---|---|---|---|---|
R. Hartley und A. Zisserman | Multiple View Geometry in Computer Vision | 2. | Cambridge University Press | 2004 |
O. Schreer | Stereoanalyse und Bildsynthese | 1. | Springer-Verlag, Berlin, Heidelberg, New York | 2005 |
O. Schreer, P. Kauff, Th. Sikora (eds.) | 3D Videocommunication: Algorithms, concepts and real-time systems in human centred communication | 1. | Wiley & Sons, UK | 2005 |