DocumentCode :
248994
Title :
Image registration for quality assessment of projection displays
Author :
Ping Zhao ; Pedersen, Marius ; Hardeberg, Jon Yngve ; Thomas, Jean-Baptiste
Author_Institution :
Gjovik Univ. Coll., Gjovik, Norway
fYear :
2014
fDate :
27-30 Oct. 2014
Firstpage :
3488
Lastpage :
3492
Abstract :
In the full reference metric based image quality assessment of projection displays, it is critical to achieve accurate and fully automatic image registration between the captured projection and its reference image in order to establish a subpixel level mapping. The preservation of geometrical order as well as the intensity and chromaticity relationships between two consecutive pixels must be maximized. The existing camera based image registration methods do not meet this requirement well. In this paper, we propose a markerless and view independent method to use an un-calibrated camera to perform the task. The proposed method including three main components: feature extraction, feature expansion and geometric correction, and it can be implemented easily in a fully automatic fashion. The experimental results of both simulation and the one conducted in the field demonstrate that the proposed method is able to achieve image registration accuracy higher than 91% in a dark projection room and above 85% with ambient light lower than 30 Lux.
Keywords :
computational geometry; feature extraction; image registration; image resolution; image sensors; chromaticity relationships; feature expansion; feature extraction; fully automatic image registration; geometric correction; geometrical order preservation; image quality assessment; intensity relationships; marker-less method; projection displays; subpixel level mapping; uncalibrated camera; view independent method; Cameras; Feature extraction; Image quality; Image registration; Image resolution; Measurement; Splines (mathematics); full reference metric; image quality; image registration; projection display; spatial distortion;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing (ICIP), 2014 IEEE International Conference on
Conference_Location :
Paris
Type :
conf
DOI :
10.1109/ICIP.2014.7025708
Filename :
7025708
Link To Document :
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