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25 May 2005 Harmonization and alignment of multiple camera imagery
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Abstract
Multiple camera systems have been considered for a number of applications, including infrared (IR) missile detection in modern fast jet aircraft, and soldier-aiding data fusion systems. This paper details experimental work undertaken to test image-processing and harmonisation techniques that were developed to align multiple camera systems. This paper considers systems where the camera properties are significantly different and the camera fields of view do not necessarily overlap. This is in contrast to stereo calibration alignment techniques that rely on similar resolution, fields of view and overlapping imagery. Testing has involved the use of two visible-band cameras and attempts to harmonise a narrow field of view camera with a wide field of view camera. In this paper, consideration has also been given to the applicability of the algorithms to both visual-band and IR based camera systems, the use of supplementary motion information from inertial measurement systems and consequent system limitations.
© (2005) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ben Lambert, Jason F. Ralph, Lee Wren, David Dwyer, and Jason Dale "Harmonization and alignment of multiple camera imagery", Proc. SPIE 5809, Signal Processing, Sensor Fusion, and Target Recognition XIV, (25 May 2005); https://doi.org/10.1117/12.603431
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