Скачать презентацию Rectification on YZ plane Скачать презентацию Rectification on YZ plane

fd2f101b29b7715d39b0946abd018b6e.ppt

  • Количество слайдов: 40

 • Rectification on YZ plane • Rectification on YZ plane

 Rectification on XZ plane Rectification on XZ plane

 • Rectification on XY plane • Rectification on XY plane

Detail of the rectified image on XY plane Detail of the rectified image on XY plane

 ONE (OR TWO) VANISHING POINTS GEOMETRY The original image (Volubilis, Morok) ONE (OR TWO) VANISHING POINTS GEOMETRY The original image (Volubilis, Morok)

RECTIFICATION Observation of two families of parallel lines RECTIFICATION Observation of two families of parallel lines

RECTIFIED IMAGE The deformation on the upper line are due to lack of planarity RECTIFIED IMAGE The deformation on the upper line are due to lack of planarity of the mosaic

CORRECT SCALING CORRECT SCALING

 • The Vanishing Point Geometry is a powerful tool. Geometry + • With • The Vanishing Point Geometry is a powerful tool. Geometry + • With one Vanishing Point only: the image can be rectified: the Vanishing Point ratio base/height is not correct • With two Vanishing Points (one horizontal, one vertical): the Vanishing Points image can be rectified: the ratio base/height is not correct • With three Vanishing Points: the image can be rectified, the ratio Vanishing Points 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

8) Photo. Modeler by Eos Systems - Canada • A project: from the pictures 8) Photo. Modeler by Eos Systems - Canada • A project: from the pictures to the recostruction of the 3 -D model • The inverse camera : Determination camera parameters Low-cost software 1000 $

Project: Options Selection measure unity Project: Options Selection measure unity

Type of camera List Type of camera List

resolution of the images camera parameters resolution of the images camera parameters

Image Selection in the project Image Selection in the project

Options of the computation Punti omologhi collimati in numero minimo Options of the computation Punti omologhi collimati in numero minimo

final model with texture Modello Wireframe final model with texture Modello Wireframe

The inverse camera : Unknown camera parameters The inverse camera : Unknown camera parameters

constraints to set Format. cam Processo vincolato constraints to set Format. cam Processo vincolato

Tests Sintetic image given = -20° = 40° Zc= 3. 25 Tests Sintetic image given = -20° = 40° Zc= 3. 25

Dalla deviazione standard (SQM) si è dedotto che nelle collimazioni si ha un’incertezza di Dalla deviazione standard (SQM) si è dedotto che nelle collimazioni si ha un’incertezza di 0, 6 pixel per unità di misura. Photo. Modeer

Dalla deviazione standard (SQM) si è dedotto che nelle collimazioni si ha un’incertezza di Dalla deviazione standard (SQM) si è dedotto che nelle collimazioni si ha un’incertezza di 0, 5 pixel per unità di misura. P F 3

Cubo 100_30_f 28 Results: Φ 29. 935 deg Expected: 30 deg θ 9. 953 Cubo 100_30_f 28 Results: Φ 29. 935 deg Expected: 30 deg θ 9. 953 deg 10 deg Κ -0. 010 deg f 27. 957 mm 28 mm ppx 400. 546 pxl 400 pxl ppy 299. 985 pxl P 300 pxl F 3 Cubo 60_15_f 35 Results: Φ 15. 453 deg Expected: 15 deg θ -30. 038 deg -30 deg Κ -0. 245 deg 0 deg f 35. 001 mm 35 mm ppx 394. 151 pxl 400 pxl ppy 297. 443 pxl 300 pxl

Ancona – Traiano’s arch – Model formation by Photomodeler Ancona – Traiano’s arch – Model formation by Photomodeler

Ancona – Traiano’s arch – The residuals of the Model formation Ancona – Traiano’s arch – The residuals of the Model formation

Ancona – Traiano’s arch – the camera stations Ancona – Traiano’s arch – the camera stations

A practical example of 3 D- reconstruction The Ho Chi Minh’s house in Hanoi A practical example of 3 D- reconstruction The Ho Chi Minh’s house in Hanoi

Back sie Right side Left side Front Back sie Right side Left side Front

inverse Camera Interior camera Parameters stored formato. cam inverse Camera Interior camera Parameters stored formato. cam

Some phases of the observation and referencing process Points in 3 D space Height Some phases of the observation and referencing process Points in 3 D space Height of the parapet = 1 Module

PF 3 measurements Interior Exterior Photo. Modeler P F 3 PF 3 measurements Interior Exterior Photo. Modeler P F 3

Model Recostruction in Auto. Cad Model Recostruction in Auto. Cad

 Photo. Modeler: üutilized by non-specialised operators üvery powerful üVery good interface üMany options Photo. Modeler: üutilized by non-specialised operators üvery powerful üVery good interface üMany options Ø 3 D modeling Ø VRML export ØRectification ØNon-metric images ØControl informations ØNo need to supply approximate value üOnly one control information is missing: the camera station coordinates

9) • ARPENTEUR by Pierre Drap – Pierre Grussenmeyer • (ARchitectural Photogramm. Etry Network 9) • ARPENTEUR by Pierre Drap – Pierre Grussenmeyer • (ARchitectural Photogramm. Etry Network Tool for Ed. Ucation and Research). • Designed in 1998 by two research teams (GAMSAU-CNRS and ENSAIS-LERGEC) • Mainly for Education

 • The running from the net • Thus it can be easily and • 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.

 • Photos from a wide range of calibrated cameras – metric – non-metric • 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. : Micro. Station, Auto. Cad).

Conclusions: • There are today on the market many good products for any purpose Conclusions: • 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

Acknowledgements Thanks to my students who helped me, part of this material is their 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