Rectification on YZ plane. Rectification on XZ plane

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Transcript of Rectification on YZ plane. Rectification on XZ plane

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Rectification on YZ plane Slide 2 Rectification on XZ plane Slide 3 Rectification on XY plane Slide 4 Detail of the rectified image on XY plane Slide 5 ONE (OR TWO) VANISHING POINTS GEOMETRY The original image (Volubilis, Morok) Slide 6 RECTIFICATION Observation of two families of parallel lines Slide 7 RECTIFIED IMAGE The deformation on the upper line are due to lack of planarity of the mosaic Slide 8 CORRECT SCALING Slide 9 Vanishing Point Geometry The Vanishing Point Geometry is a powerful tool. + one Vanishing Point With one Vanishing Point only: the image can be rectified: the ratio base/height is not correct two Vanishing Points With two Vanishing Points (one horizontal, one vertical): the image can be rectified: the ratio base/height is not correct three Vanishing Points With three Vanishing Points: the image can be rectified, the ratio base/height is correct, the orientation can be assessed, both for the original and the rectified image, apart from one unknown scale factor - Camera axis must be very inclined Only WA are suitable Slide 10 PhotoModeler PhotoModeler by Eos Systems - Canada A project: The inverse camera : from the pictures to the recostruction of the 3-D model Determination camera parameters Low-cost software 1000 $ 8) Slide 11 Selection measure unity Options Project: Slide 12 Type of camera List Slide 13 resolution of the images camera parameters Slide 14 Image Selection in the project Slide 15 Punti omologhi collimati in numero minimo Options of the computation Slide 16 Modello Wireframe final model with texture Slide 17 The inverse camera : Unknown camera parameters Slide 18 Processo vincolato constraints to set Format.cam Slide 19 Tests Sintetic image = -20 = 40 Z c = 3.25 given Slide 20 Dalla deviazione standard (SQM) si dedotto che nelle collimazioni si ha unincertezza di 0,6 pixel per unit di misura. PhotoModeer Slide 21 Dalla deviazione standard (SQM) si dedotto che nelle collimazioni si ha unincertezza di 0,5 pixel per unit di misura. PF3 Slide 22 Cubo 100_30_f28 Results: 29.935 deg Expected: 30 deg 9.953 deg 10 deg -0.010 deg 0 deg f27.957 mm 28 mm ppx400.546 pxl 400 pxl ppy299.985 pxl 300 pxl Cubo 60_15_f35 Results:15.453 degExpected:15 deg -30.038 deg -30 deg -0.245 deg 0 deg f35.001 mm 35 mm ppx394.151 pxl 400 pxl ppy297.443 pxl 300 pxl PF3 Slide 23 Ancona Traianos arch Model formation by Photomodeler Slide 24 Ancona Traianos arch The residuals of the Model formation Slide 25 Ancona Traianos arch the camera stations Slide 26 A practical example of 3D- reconstruction The Ho Chi Minhs house in Hanoi Slide 27 Front Left side Right side Back sie Slide 28 inverse Camera Interior camera Parameters stored formato.cam Slide 29 Some phases of the observation and referencing process Points in 3D space Height of the parapet = 1 Module Slide 30 PF3 measurements PhotoModeler Exterior PF3PF3 Interior Slide 31 Model Recostruction in AutoCad Slide 32 Slide 33 Slide 34 Slide 35 PhotoModeler : utilized by non-specialised operators very powerful Very good interface Many options 3D modeling VRML export Rectification Non-metric images Control informations No need to supply approximate value Only one control information is missing: the camera station coordinates Slide 36 ARPENTEURARPENTEUR by Pierre Drap Pierre Grussenmeyer (ARchitectural PhotogrammEtry Network Tool for EdUcation and Research). Designed in 1998 by two research teams (GAMSAU-CNRS and ENSAIS-LERGEC) Mainly for Education 9) Slide 37 The running from the net Thus it can be easily and freely used from anywhere, by anybody all over the world and with whatever operating system. www.arpenteur.net. Dedicated to architectural photogrammetry and close range terrestrial photogrammetry, but aerial images (limited to a few Mb) can be also handled. Slide 38 Photos from a wide range of calibrated cameras metric non-metric camera, digital amateur camera ARPENTEUR permits a better knowledge of basic photogrammetric techniques stereoplotting, image correlation, architectural photogrammetry architectural modelling Output results can then be viewed as text-file, DGN, DXF, VRML file for a further processing with Internet or CAD systems (e.g.: MicroStation, AutoCad). Slide 39 There are today on the market many good products for any purpose and for any pocket The quality of a system is based not only in the accuracy but anso in the efficiency Photointerpretation Orthophoto Conclusions: Slide 40 Acknowledgements Thanks to my students who helped me, part of this material is their graduation thesis: Matteo Cinti, Marco Battistelli Paolo Clini Gianluca Gagliardini Stefano Benassi Paolo Margione Loretta Alessandroni Ivan Catini Floriano Capponi Ingrid Luciani