Mobile Photogrammetry (original) (raw)
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CALIBRATION AND ACCURACY TESTING OF MOBILE PHONE CAMERAS
28th Asian Conference on Remote Sensing (ACRS'07), Kuala Lumpur, Malaysia, November 12-16 (only on CD-ROM)., 2007
ABSTRACT: This paper examines the potential of mobile phones to be used as a front-end sensor for photogrammetric procedures and applications. For this purpose we are currently calibrating various mobile phones over our indoor 3D testfield, using self-calibration. Using the same testfield we are performing accuracy tests in order to evaluate the metric performance. This paper reports about first experiences in calibration and accuracy validation of mobile phone cameras. KEY WORDS: Mobile phone cameras, calibration, accuracy potential, JPEG test. 1. INTRODUCTION With the availability of very affordable and good resolution CCD/CMOS cameras and other offthe-shelf devices, including compact computers (of laptop type) the potential of building efficient mobile, low-cost, high-performance systems has substantially improved. Among various hardware and software components mobile phones constitute an interesting component for image data acquisition for obvious reasons: They are very inexpensive, light and handy and have CMOS cameras integrated of currently up to 10 Mpixels image format. Due to very limited size and restricted material and equipment costs, the production of mobile phone cameras is a challenge. The impact of their production specifications on the stability of interior orientation and 3D object reconstruction capabilities has not adequately been studied in the literature. This work investigates the accuracy potential of two recent mobile phone cameras and compares them with respect to two off-the-shelf digital still video cameras. The next chapter introduces the cameras and the calibration/validation testfield. The third chapter gives the results of the accuracy test for all four cameras and a test, which analyses the effect of JPEG compression. The fourth chapter discusses the results.
Comparative geometric and radiometric evaluation of mobile phone and still video cameras
The Photogrammetric Record, 2009
This paper examines the potential of mobile phones to be used as front-end sensors for photogrammetric procedures and applications. For this purpose, two mobile phone cameras (Sony Ericsson K750i and Nokia N93) were calibrated over an indoor 3D testfield, using a self-calibrating bundle adjustment. Geometric accuracy tests were carried out in order to evaluate their metric performances and to compare the results with respect to two off-the-shelf digital still video cameras (Sony DSC W100 and Sony DSC F828). The geometric accuracy evaluation comprised an absolute accuracy test, JPEG test and temporal stability test. The radiometric capabilities of all cameras (except that the DSC W100 was replaced with a DSC T100 camera) were also evaluated and compared by carrying out modulation transfer function (MTF) analysis, image noise analysis and an operating range test. Substantial systematic errors were diagnosed in some systems. However, with proper calibration it is believed that these devices can be used for many photogrammetric tasks. Keywords: geometric accuracy, image noise, JPEG test, mobile phone cameras, modulation transfer function (MTF), operating range, self-calibration, temporal stability.
EVALUATION OF METRIC PERFORMANCE OF MOBILE PHONE CAMERAS
International Calibration and Orientation Workshop EuroCOW 2008, Castelldefels, Spain, January 30 - February 1 (only on CD-ROM)., 2008
ABSTRACT: This paper examines the potential of mobile phones to be used as a front-end sensor for photogrammetric procedures and applications. For this purpose we are calibrating two mobile phones (Sony Ericsson K750i and Nokia N93) over our indoor 3D testfield, using self-calibration. Using the same testfield we are performing accuracy tests in order to evaluate the metric performance and comparing them with respect to two off-the-shelf digital still video cameras (Sony DSC W100 and Sony DSC F828). In some systems we have diagnosed substantial systematic errors. We find that the JPEG compression does not significantly influence the errors. We are currently also in the process of checking the stability of the interior orientation over time. This paper reports about our experiences in calibration and accuracy validation of mobile phone cameras. We believe that with a proper performance these devices can be used for many photogrammetric tasks in the future. KEY WORDS: Mobile phone cameras, self-calibration, accuracy potential, JPEG test, stability test.
METRIC ACCURAC TESTING WITH MOBILE PHONE CAMERAS
21th ISPRS Congress, Beijing, China, July 3-11. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, vol. XXXVII, part B5, pp. 729-736., 2008
ABSTRACT: This paper examines the potential of mobile phones to be used as a front-end sensor for photogrammetric procedures and applications. For this purpose we are calibrating two mobile phones (Sony Ericsson K750i and Nokia N93) over our indoor 3D testfield, using self-calibration. Using the same testfield we are performing accuracy tests in order to evaluate the metric performance and comparing them with respect to two off-the-shelf digital still video cameras (Sony DSC W100 and Sony DSC F828). In some systems we have diagnosed substantial systematic errors. We find that the JPEG compression does not significantly influence the errors. We are currently also in the process of checking the stability of the interior orientation over time. This paper reports about our experiences in calibration and accuracy validation of mobile phone cameras. We believe that with a proper performance these devices can be used for many photogrammetric tasks in the future. KEY WORDS: Mobile phone cameras, Self-calibration, Accuracy potential, JPEG test, Stability test.
A Simple Way to Reduce 3D Model Deformation in Smartphone Photogrammetry
Sensors
Recently, the term smartphone photogrammetry gained popularity. This suggests that photogrammetry may become a simple measurement tool by virtually every smartphone user. The research was undertaken to clarify whether it is appropriate to use the Structure from Motion—Multi Stereo View (SfM-MVS) procedure with self-calibration as it is done in Uncrewed Aerial Vehicle photogrammetry. First, the geometric stability of smartphone cameras was tested. Fourteen smartphones were calibrated on the checkerboard test field. The process was repeated multiple times. These observations were found: (1) most smartphone cameras have lower stability of the internal orientation parameters than a Digital Single-Lens Reflex (DSLR) camera, and (2) the principal distance and position of the principal point are constantly changing. Then, based on images from two selected smartphones, 3D models of a small sculpture were developed. The SfM-MVS method was used, with self-calibration and pre-calibration varia...
IAEME PUBLICATION, 2020
This paper presents a real-time application of mobile phone digital camera calibration adopting two different methods depends on Photo Modeler computer software to determine the distortion parameters and the camera intrinsic. Two different methods were used to assess the calibration process via with two different mathematical models, which are the DLT and the SIFT, to detect and identify the features of the calibration pattern to assess a robust bundle orientation of the targeted geometrical shapes. The results showed that both methods have a standard difference of estimation of the pattern calibration values that do not exceed 1.70 pixels in both X, Y direction with a maximum connectivity of minimum 94% between images, in counter of the Auto-Calibration approach which has a residuals of 2.60 pixels in both direction of X and, Y with a connectivity of 35% as a maximum overlapping percentage between images.