Abstract
Abstract. Since the time Brown introduced the concept of self-calibration, it was known that there was no impediment in using consumer grade devices for metric purposes. Today, dSLR cameras are knowingly the standard photogrammetric tool in applications when time is not an issue, thus images can be taken sequentially. Nonetheless, albeit available with standard video signal, there has been little interest in applying them to observe dynamic scenes. In this paper we present a methodology to use dSLR cameras for shape and motion reconstruction at frequency of 30Hz. Particular focus is put on calibration and orientation issues, in static and dynamic cases i.e. cameras also undergoing a change in position during the measurement. Performance of the system was validated with results obtained by a system of superior quality.
Highlights
Image engineering, or in other words, close range photogrammetry for custom-made solutions has seen a line of development in recent years (Maas, 2008)
The principal tool of off-line systems are professional stand-alone digital single-lens reflex cameras (e.g. Nikon D3x, Canon EOS-1Ds), available from the consumer market (Bosemann, 2011). dSLR cameras are valued for flexibility and reasonable price but because the devices are not inherently built for metric purposes, they lack mechanical stability, be it the fixing of the sensor plane w.r.t. the housing of the camera
In essence the online and offline data processing chains do not differ. They follow the same sequence of system calibration, exterior orientation, and point intersection
Summary
In other words, close range photogrammetry for custom-made solutions has seen a line of development in recent years (Maas, 2008). The principal tool of off-line systems are professional stand-alone digital single-lens reflex (dSLR) cameras (e.g. Nikon D3x, Canon EOS-1Ds), available from the consumer market (Bosemann, 2011). The great ally of offline applications is the time It allows for careful survey planning and capturing the scene with a favourable network of images ensuring fine point distribution, decent intersections, and recovery of instantaneous camera calibration parameters. (Maas, 2008, Luhmann, 2010, Bosemann, 2011) unanimously claim dSLRs not to be the right devices for dynamic observations. It is a fair conclusion considering the above limitations, and the fact that direct interfacing is impossible. The challenge faced was (i) that the measurement took place in a professional ship model basin imposing harsh workplace constraints, (ii) quality of the captured video data was diminished due to lossly compression of the standard video format, (iii) cameras were not internally
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