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Sampling the parameter domain of image series

: Heizmann, M.; Beyerer, J.

Postprint urn:nbn:de:0011-n-279041 (660 KByte PDF)
MD5 Fingerprint: 4b59dbc7ddd439420fdbbcca4992f9a5
Copyright 2005 Society of Photo-Optical Instrumentation Engineers. One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited.
Erstellt am: 28.8.2009

Dougherty, E.R. ; Society of Photo-Optical Instrumentation Engineers -SPIE-, Bellingham/Wash.:
Image processing: algorithms and systems IV : San Jose, CA, 17-18 january 2005
Bellingham, WA: SPIE, 2005 (Proceedings of SPIE 5672)
ISBN: 0-8194-5645-4
Conference "Image Processing: Algorithms and Systems" <9, 2005, San Jose/Calif.>
Konferenzbeitrag, Elektronische Publikation
Fraunhofer IITB ( IOSB) ()

While analyzing a scene of interest in real environments, the acquisition and evaluation of image series has proven to yield promising results in providing useful information. However, acquiring and evaluating image series imposes several difficulties on the imaging and analysis process: The amount of data to be processed increases significantly, especially when more than one parameter is varied. Recording image series thus leads to a dilemma: Whereas a dense scanning of the varied parameter is desirable in order not to lose any information of interest, the number of recorded images should be as small as possible to ensure both adequate acquisition time and manageable amount of data. This dilemma can be considered as a sampling issue of the parameter spaces of a variable image acquisition. In this contribution, the topic of optimally sampling the parameter spaces for image series is addressed from a practical point of view. Sampling conditions for several parameters to be varied are derived from physics and image formation models.