13 research outputs found
Geometric consistency and stability of consumer-grade digital cameras for accurate spatial measurement
This is a journal article. It was published in the journal, The Photogrammetric Record [© Remote Sensing and Photogrammetry Society and Blackwell Publishing Ltd] and the definitive version is available at: http://www3.interscience.wiley.com/journal/118539355/homeIt is known that uncertain internal geometry of consumer-grade
digital cameras limits the accuracy of data that can be extracted. These
cameras can be calibrated, but the validity of calibration data over a
period of time should be carefully assessed before subsequent
photogrammetric measurement. This paper examines the geometric
stability and manufacturing consistency of a typical low-cost digital
camera (Nikon Coolpix 5400) by estimating the degree of similarity
between interior orientation parameters (IOP), established over a oneyear
period. Digital elevation models (DEMs) are extracted with
differing interior orientation parameters (IOP) sets and accuracies are
compared using data obtained from seven identical cameras. An
independent self-calibrating bundle adjustment (GAP) and the Leica
Photogrammetry Suite (LPS) software were used to provide these datasets.
Results are presented that indicate the potential of these cameras to
maintain their internal geometry in terms of temporal stability and
manufacturing consistency. This study also identifies residual systematic
error surfaces or âdomesâ, discernible in âDEMs of differenceâ. These
are caused by slightly inaccurately estimated lens distortion parameters,
which effectively constrain the accuracies achievable with this class of
sensor