Relevant bibliographies by topics / Geometrical calibration

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers

Academic literature on the topic 'Geometrical calibration'

Author: Grafiati
Published: 4 June 2021
Last updated: 8 February 2022

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Journal articles on the topic "Geometrical calibration"

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Draréni, Jamil, Sébastien Roy, and Peter Sturm. "Methods for geometrical video projector calibration." Machine Vision and Applications 23, no. 1 (March 12, 2011): 79–89. http://dx.doi.org/10.1007/s00138-011-0322-3.

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Liu Kai, 刘凯, 龙云飞 Long Yunfei, 王帅军 Wang Shuaijun, 吴炜 Wu Wei, and 杨晓敏 Yang Xiaomin. "Nonlinearity calibration incorporated with geometrical calibration for phase measuring profilometry." High Power Laser and Particle Beams 27, no. 7 (2015): 71005. http://dx.doi.org/10.3788/hplpb20152707.71005.

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Kajima, Mariko, Tsukasa Watanabe, Makoto Abe, and Toshiyuki Takatsuji. "Calibrator for 2D Grid Plate Using Imaging Coordinate Measuring Machine with Laser Interferometers." International Journal of Automation Technology 9, no. 5 (September 5, 2015): 541–45. http://dx.doi.org/10.20965/ijat.2015.p0541.

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A calibrator for 2D grid plates have been developed. The calibrator was based on a commercial imaging coordinate measuring machine (imaging CMM). A laser interferometer for the calibration of the x-coordinate and two laser interferometers for the calibration of the y-coordinate were attached to the imaging CMM. By applying multistep measurement method for the calibration procedure, the geometrical error in the calibrator was reduced. The calibration of a precision 2D grid plate was demonstrated, and the expanded uncertainty was estimated to be 0.2 μm (k =2).
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Nekouei Shahraki, M., and N. Haala. "INTRODUCING NOVEL GENERATION OF HIGH ACCURACY CAMERA OPTICAL-TESTING AND CALIBRATION TEST-STANDS FEASIBLE FOR SERIES PRODUCTION OF CAMERAS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-1-W5 (December 11, 2015): 521–27. http://dx.doi.org/10.5194/isprsarchives-xl-1-w5-521-2015.

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The recent advances in the field of computer-vision have opened the doors of many opportunities for taking advantage of these techniques and technologies in many fields and applications. Having a high demand for these systems in today and future vehicles implies a high production volume of video cameras. The above criterions imply that it is critical to design test systems which deliver fast and accurate calibration and optical-testing capabilities. In this paper we introduce new generation of test-stands delivering high calibration quality in single-shot calibration of fisheye surround-view cameras. This incorporates important geometric features from bundle-block calibration, delivers very high (sub-pixel) calibration accuracy, makes possible a very fast calibration procedure (few seconds), and realizes autonomous calibration via machines. We have used the geometrical shape of a Spherical Helix (Type: 3D Spherical Spiral) with special geometrical characteristics, having a uniform radius which corresponds to the uniform motion. This geometrical feature was mechanically realized using three dimensional truncated icosahedrons which practically allow the implementation of a spherical helix on multiple surfaces. Furthermore the test-stand enables us to perform many other important optical tests such as stray-light testing, enabling us to evaluate the certain qualities of the camera optical module.
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Conte, Javier, Jorge Santolaria, Ana Cristina Majarena, Agustin Brau, and Juan Jose Aguilar Martín. "Laser Tracker Error Modeling and Kinematic Calibration Strategy." Key Engineering Materials 615 (June 2014): 63–69. http://dx.doi.org/10.4028/www.scientific.net/kem.615.63.

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Calibration of Laser Tracker systems is based most times in the determination of its geometrical errors. Some standards as the ASME B89.4.19 [1] and the VDI 2617-10 [2] describe different tests to calculate the geometric misalignments that cause systematic errors in Laser Tracker measurements. These errors are caused not only because of geometrical misalignments and other sources of error must also be taken in count. In this work we want to state the errors in a kinematic form. Errors will be split in two different components, geometric and kinematic errors. The first ones depend on the offsets, tilts and eccentricity of the mechanical and optical components of the system. Kinematic errors are different for every position of the Laser tracker, so they will be formulated as functions of three system variables: distance (R), vertical angle (V) and horizontal angle (H) usually called d, φ and θ. The goal of this work is to set up an evaluation procedure to determine geometric and kinematic errors of Laser Trackers.
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Yamazoe, Hirotake. "Geometrical and Temporal Calibration of Multiple Cameras Using Blinking Calibration Patterns." IPSJ Transactions on Computer Vision and Applications 6 (2014): 78–82. http://dx.doi.org/10.2197/ipsjtcva.6.78.

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Takatsuji, Toshiyuki, Sonko Osawa, and Tomizo Kurosawa. "Uncertainty analysis of calibration of geometrical gauges." Precision Engineering 26, no. 1 (January 2002): 24–29. http://dx.doi.org/10.1016/s0141-6359(01)00094-0.

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Beque, D., J. Nuyts, P. Suetens, and G. Bormans. "Optimization of geometrical calibration in pinhole SPECT." IEEE Transactions on Medical Imaging 24, no. 2 (February 2005): 180–90. http://dx.doi.org/10.1109/tmi.2004.839367.

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Bauer, M., D. Grießbach, A. Hermerschmidt, S. Krüger, M. Scheele, and A. Schischmanow. "Geometrical camera calibration with diffractive optical elements." Optics Express 16, no. 25 (November 24, 2008): 20241. http://dx.doi.org/10.1364/oe.16.020241.

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Liao, Che-Wei, Ming-Tzu Tsai, Heng-Li Huang, Lih-Jyh Fuh, Yen-Lin Liu, Zhi-Teng Su, and Jui-Ting Hsu. "Geometrical Calibration of a 2.5D Periapical Radiography System." Applied Sciences 10, no. 3 (January 30, 2020): 906. http://dx.doi.org/10.3390/app10030906.

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The objective of this study was to develop a geometrical calibration method applicable to the 2.5D prototype Periapical Radiography System and estimate component position errors. A two-steel-ball phantom with a precisely known position was placed in front of a digital X-ray sensor for two-stage calibration. In the first stage, the following three parameters were estimated: (1) r, the distance between the focal spot and the rotation axis of the X-ray tube; (2) ψ, the included angle between the straight line formed by the X-ray tube’s focal spot and rotation axis and the straight line of the orthogonal sensor; and (3) L4, the distance between the rotation axis and the plane where the two steel balls were positioned. In the second stage, the steel balls’ positions were determined to calculate the positions of the X-ray tube on the x, y, and z axes. Computer simulation was used to verify the accuracy of the calibration method. The results indicate that for the calibration approach proposed in this study, the differences between the estimated errors and setting errors were smaller than 0.15% in the first and second stages, which is highly accurate, verifying its applicability to accurate calibration of the 2.5D Periapical Radiography System.
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Dissertations / Theses on the topic "Geometrical calibration"

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Wang, Daodang, Zhidong Gong, Ping Xu, Rongguang Liang, Ming Kong, Jun Zhao, Chao Wang, Linhai Mo, and Shuhui Mo. "Geometrical error calibration in reflective surface testing based on reverse Hartmann test." SPIE-INT SOC OPTICAL ENGINEERING, 2017. http://hdl.handle.net/10150/627168.

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In the fringe-illumination deflectometry based on reverse-Hartmann-test configuration, ray tracing of the modeled testing system is performed to reconstruct the test surface error. Careful calibration of system geometry is required to achieve high testing accuracy. To realize the high-precision surface testing with reverse Hartmann test, a computer-aided geometrical error calibration method is proposed. The aberrations corresponding to various geometrical errors are studied. With the aberration weights for various geometrical errors, the computer-aided optimization of system geometry with iterative ray tracing is carried out to calibration the geometrical error, and the accuracy in the order of sub-nanometer is achieved.
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Muders, Jens [Verfasser], and Jürgen [Akademischer Betreuer] Hesser. "Geometrical Calibration and Filter Optimization for Cone-Beam Computed Tomography / Jens Muders ; Betreuer: Jürgen Hesser." Heidelberg : Universitätsbibliothek Heidelberg, 2015. http://d-nb.info/1180395964/34.

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Saat, Ahmad. "Efficiency calibration of germanium detectors incorporating corrections for self-absorption, geometrical variations and true coincidence summing." Thesis, University of Liverpool, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.367823.

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Filipík, Adam. "KALIBRACE ULTRAZVUKOVÉHO PRŮZVUČNÉHO SYSTÉMU VÝPOČETNÍ TOMOGRAFIE." Doctoral thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2009. http://www.nusl.cz/ntk/nusl-233451.

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Tato dizertace je zaměřena na medicínskou zobrazovací modalitu – ultrazvukovou počítačovou tomografii – a algoritmy zlepšující kvalitu zobrazení, zejména kalibraci USCT přístroje. USCT je novou modalitou kombinující ultrazvukový přenos signálů a principy tomografické rekonstrukce obrazů vyvíjených pro jiné tomografické systémy. V principu lze vytvořit kvantitativní 3D obrazové objemy s vysokým rozlišením a kontrastem. USCT je primárně určeno pro diagnózu rakoviny prsu. Autor spolupracoval na projektu Institutu Zpracování dat a Elektroniky, Forschungszentrum Karlsruhe, kde je USCT systém vyvíjen. Jeden ze zásadních problémů prototypu USCT v Karlsruhe byla absence kalibrace. Tisíce ultrazvukových měničů se liší v citlivosti, směrovosti a frekvenční odezvě. Tyto parametry jsou navíc proměnné v čase. Další a mnohem závažnější problém byl v pozičních odchylkách jednotlivých měničů. Všechny tyto aspekty mají vliv na konečnou kvalitu rekonstruovaných obrazů. Problém kalibrace si autor zvolil jako hlavní téma dizertace. Tato dizertace popisuje nové metody v oblastech rekonstrukce útlumových obrazů, kalibrace citlivosti měničů a zejména geometrická kalibrace pozic měničů. Tyto metody byly implementovány a otestovány na reálných datech pocházejících z prototypu USCT z Karlsruhe.
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Brátová, Kateřina. "Geometrické parametry zařízení pro absolutní kalibraci GNSS antén." Master's thesis, Vysoké učení technické v Brně. Fakulta stavební, 2014. http://www.nusl.cz/ntk/nusl-227121.

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The aim of this work is description of a device developed at Brno University of Technology, Faculty of Civil Engineering, Institute of Geodesy for the purpose of absolute calibration of geodetic GNSS antennas. Thanks to calibration it is possible to remove systematic error of antenna's phase centre. The device consists of moveable arm and processing unit. The moveable arm is able to set up calibrated antenna to required azimuth and elevation angle. This work introduces the issue of absolute calibration, describes the moveable arm and the process of its assembling. Further, it defines geometrical parameters of moveable arm, describes their determination and their independent verification by geodetic method. Finally, the model of movement of antenna's reference point is described.
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Ritter, Martin [Verfasser], Olaf [Gutachter] Hellwich, Jörg [Gutachter] Albertz, and Heinz [Gutachter] Hohenberg. "A landmark-based method for the geometrical 3D calibration of scanning microscopes / Martin Ritter ; Bundesanstalt für Materialforschung und -prüfung (BAM) ; Gutachter: Olaf Hellwich, Jörg Albertz, Heinz Hohenberg." Berlin : Bundesanstalt für Materialforschung und -prüfung (BAM), 2007. http://d-nb.info/1122836228/34.

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Nguyen, Tran. "Optical measurement of shape and deformation fields on challenging surfaces." Thesis, Loughborough University, 2012. https://dspace.lboro.ac.uk/2134/10551.

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A multiple-sensor optical shape measurement system (SMS) based on the principle of white-light fringe projection has been developed and commercialised by Loughborough University and Phase Vision Ltd for over 10 years. The use of the temporal phase unwrapping technique allows precise and dense shape measurements of complex surfaces; and the photogrammetry-based calibration technique offers the ability to calibrate multiple sensors simultaneously in order to achieve 360° measurement coverage. Nevertheless, to enhance the applicability of the SMS in industrial environments, further developments are needed (i) to improve the calibration speed for quicker deployment, (ii) to broaden the application range from shape measurement to deformation field measurement, and (iii) to tackle practically-challenging surfaces of which specular components may disrupt the acquired data and result in spurious measurements. The calibration process typically requires manual positioning of an artefact (i.e., reference object) at many locations within the view of the sensors. This is not only timeconsuming but also complicated for an operator with average knowledge of metrology. This thesis introduces an automated artefact positioning system which enables automatic and optimised distribution of the artefacts, automatic prediction of their whereabouts to increase the artefact detection speed and robustness, and thereby greater overall calibration performance. This thesis also describes a novel technique that integrates the digital image correlation (DIC) technique into the present fringe projection SMS for the purpose of simultaneous shape and deformation field measurement. This combined technique offers three key advantages: (a) the ability to deal with geometrical discontinuities which are commonly present on mechanical surfaces and currently challenging to most deformation measurement methods, (b) the ability to measure 3D displacement fields with a basic single-camera single-projector SMS with no additional hardware components, and (c) the simple implementation on a multiple-sensor hardware platform to achieve complete coverage of large-scale and complex samples, with the resulting displacement fields automatically lying in a single global coordinate system. A displacement measurement accuracy of ≃ 1/12,000 of the measurement volume, which is comparable to that of an industry-standard DIC system, has been achieved. The applications of this novel technique to several structural tests of aircraft wing panels on-site at the research centre of Airbus UK in Filton are also presented. Mechanical components with shiny surface finish and complex geometry may introduce another challenge to present fringe projection techniques. In certain circumstances, multiple reflections of the projected fringes on an object surface may cause ambiguity in the phase estimation process and result in incorrect coordinate measurements. This thesis presents a new technique which adopts a Fourier domain ranging (FDR) method to correctly identifying multiple phase signals and enables unambiguous triangulation for a measured coordinate. Experiments of the new FDR technique on various types of surfaces have shown promising results as compared to the traditional phase unwrapping techniques.
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Vande, Hey Joshua D. "Design, implementation, and characterisation of a novel lidar ceilometer." Thesis, Loughborough University, 2013. https://dspace.lboro.ac.uk/2134/11853.

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A novel lidar ceilometer prototype based on divided lens optics has been designed, built, characterised, and tested. The primary applications for this manufacturable ground-based sensor are the determination of cloud base height and the measurement of vertical visibility. First, the design, which was developed in order to achieve superior performance at a low cost, is described in detail, along with the process used to develop it. The primary design considerations of optical signal to noise ratio, range-dependent overlap of the transmitter and receiver channels, and manufacturability, were balanced to develop an instrument with good signal to noise ratio, fast turn-on of overlap for detection of close range returns, and a minimised number of optical components and simplicity of assembly for cost control purposes. Second, a novel imaging method for characterisation of transmitter-receiver overlap as a function of range is described and applied to the instrument. The method is validated by an alternative experimental method and a geometric calculation that is specific to the unique geometry of the instrument. These techniques allow the calibration of close range detection sensitivity in order to acquire information prior to full overlap. Finally, signal processing methods used to automate the detection process are described. A novel two-part cloud base detection algorithm has been developed which combines extinction-derived visibility thresholds in the inverted cloud return signal with feature detection on the raw signal. In addition, standard approaches for determination of visibility based on an iterative far boundary inversion method, and calibration of attenuated backscatter profile using returns from a fully-attenuating water cloud, have been applied to the prototype. The prototype design, characterisation, and signal processing have been shown to be appropriate for implementation into a commercial instrument. The work that has been carried out provides a platform upon which a wide range of further work can be built.
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Foley, Andrew Patrick James. "A methodology for a robot geometric calibration." Thesis, University of Nottingham, 1990. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.278344.

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Mannuru, Sravanthi. "A Fully Automated Geometric Lens Distortion Correction Method." University of Dayton / OhioLINK, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1323312991.

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Book chapters on the topic "Geometrical calibration"

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Lavayssière, B., J. Liénard, and J. L. Marchand. "RII Geometrical Distorsion Modelling and Calibration." In CAR ’87 Computer Assisted Radiology, 225–29. Berlin, Heidelberg: Springer Berlin Heidelberg, 1987. http://dx.doi.org/10.1007/978-3-642-95530-3_37.

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Bauer, M., D. Grießbach, A. Hermerschmidt, S. Krüger, M. Scheele, and A. Schischmanow. "Geometrical camera calibration using lasers and diffractive optical elements." In Fringe 2009, 1–4. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-03051-2_128.

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Klimchik, Alexandr, Anatol Pashkevich, Yier Wu, Benoît Furet, and Stephane Caro. "Optimization of Measurement Configurations for Geometrical Calibration of Industrial Robot." In Intelligent Robotics and Applications, 132–43. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-33509-9_13.

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Lei, Rong, Song Ji, Da-zhao Fan, and Qiu-he Ma. "Investigation of Geometrical Self-calibration Adjustment Model of Satellite Sensors." In Recent Advances in Computer Science and Information Engineering, 105–11. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-25778-0_16.

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Klimchik, Alexandr, David Daney, Stephane Caro, and Anatol Pashkevich. "Geometrical Patterns for Measurement Pose Selection in Calibration of Serial Manipulators." In Advances in Robot Kinematics, 263–71. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-06698-1_28.

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Ji, Songbai, Xiaoyao Fan, David W. Roberts, and Keith D. Paulsen. "Efficient Stereo Image Geometrical Reconstruction at Arbitrary Camera Settings from a Single Calibration." In Medical Image Computing and Computer-Assisted Intervention – MICCAI 2014, 440–47. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-10404-1_55.

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Renders, Jean-Michel, José del R. Millan, and Marc Becquet. "Non-Geometrical Parameters Identification for Robot Kinematic Calibration by use of Neural Network Techniques." In Robotic Systems, 37–44. Dordrecht: Springer Netherlands, 1992. http://dx.doi.org/10.1007/978-94-011-2526-0_5.

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Al-Chalabi, S. A. M., Y. Hardalupas, A. R. Jones, and A. M. K. P. Taylor. "Calculation of Calibration Curves for the Phase Doppler Technique: Comparison between Mie Theory and Geometrical Optics." In Optical Particle Sizing, 107–20. Boston, MA: Springer US, 1988. http://dx.doi.org/10.1007/978-1-4757-1983-3_10.

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Zhang, Zhengyou. "Geometric Calibration." In Computer Vision, 333–38. Boston, MA: Springer US, 2014. http://dx.doi.org/10.1007/978-0-387-31439-6_167.

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Bayro-Corrochano, Eduardo. "Tracker Endoscope Calibration and Body-Sensors’ Calibration." In Geometric Computing, 491–503. London: Springer London, 2009. http://dx.doi.org/10.1007/978-1-84882-929-9_19.

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Conference papers on the topic "Geometrical calibration"

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Kim, Namil, Yukyung Choi, Soonmin Hwang, Kibaek Park, Jae Shin Yoon, and In So Kweon. "Geometrical calibration of multispectral calibration." In 2015 12th International Conference on Ubiquitous Robots and Ambient Intelligence (URAI). IEEE, 2015. http://dx.doi.org/10.1109/urai.2015.7358880.

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Ronen, S., R. Ferber, R. Bale, and D. Nichols. "Geometrical DMO Calibration and Spatial Dealiasing." In 57th EAEG Meeting. Netherlands: EAGE Publications BV, 1995. http://dx.doi.org/10.3997/2214-4609.201409282.

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Rougee, Anne, Catherine L. Picard, Yves L. Trousset, and Cyril Ponchut. "Geometrical calibration for 3D x-ray imaging." In Medical Imaging 1993, edited by Yongmin Kim. SPIE, 1993. http://dx.doi.org/10.1117/12.146963.

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Navab, Nassir, Ali R. Bani-Hashemi, Matthias M. Mitschke, David W. Holdsworth, Rebecca Fahrig, Allan J. Fox, and R. Graumann. "Dynamic geometrical calibration for 3D cerebral angiography." In Medical Imaging 1996, edited by Richard L. Van Metter and Jacob Beutel. SPIE, 1996. http://dx.doi.org/10.1117/12.237798.

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Bauer, M., D. Griessbach, T. Säuberlich, M. Scheele, and A. Schischmanow. "MERTIS: using diffractive optical elements for geometrical calibration." In SPIE Optical Engineering + Applications, edited by Marija Strojnik and Gonzalo Paez. SPIE, 2010. http://dx.doi.org/10.1117/12.860551.

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Xiao Deng, Tianyu Ma, Jules Cadorette, Zixiong Cao, Jean-Francois Beaudoin, Roger Lecomte, and Rutao Yao. "Geometrical calibration for an animal PET converted SPECT." In 2010 IEEE Nuclear Science Symposium and Medical Imaging Conference (2010 NSS/MIC). IEEE, 2010. http://dx.doi.org/10.1109/nssmic.2010.5874357.

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Djamdji, Jean-Pierre, Albert Bijaoui, and Roger Maniere. "Geometrical registration of remotely sensed images with the use of the wavelet transform." In Recent Advances in Sensors, Radiometric Calibration, and Processing of Remotely Sensed Data. SPIE, 1993. http://dx.doi.org/10.1117/12.161566.

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Shimizu, Tsuyoshi, Hiromi Watanabe, Shinji Kotani, and Nobuyuki Furuya. "Easy calibration of camera-projector system using geometrical invariants." In 2014 10th France-Japan/ 8th Europe-Asia Congress on Mecatronics (MECATRONICS). IEEE, 2014. http://dx.doi.org/10.1109/mecatronics.2014.7018596.

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Sergeyev, Aleksandr, and Eugene Levin. "Experimental approach for geometrical calibration of small UAV sensors." In SPIE Optical Engineering + Applications, edited by Philip E. Ardanuy and Jeffery J. Puschell. SPIE, 2010. http://dx.doi.org/10.1117/12.865188.

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Matiouchenko, V. G., V. V. Strakhov, and A. O. Zhirkov. "Geometrical calibration television measuring systems with solid state photodetectors." In XVI International Conference on Photoelectronics and Night Vision Devices, edited by Anatoly M. Filachev and Alexander I. Dirochka. SPIE, 2000. http://dx.doi.org/10.1117/12.407748.

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