High Perfection with Close Range Photogrammetry and PhotoModeler Measurement

DOI : 10.17577/IJERTV5IS090119

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High Perfection with Close Range Photogrammetry and PhotoModeler Measurement

Assistant Lecturer Bashar Halleem Muhsen Al-Yasery

College of Engineering Kufa University

Najaf, Najaf – 00964 , Iraq.

AbstractThe coordinates of points for regular/irregular surface objects are known or calculated. Obtaining the three dimension model of the irregular surface objects need multitude of points to represent the surface exactly. These points can be obtained by the traditional method and from the measurements of the (photograph). In this paper PhotoModeler Scanner ( version 6) program software was used as a measuring tool for a sample of house. There were two cases of measuring the sides of such house, the first case used coded targets were defined automatically to the program. These targets were fixed on the sides of the sample. The accuracy of measurement was high, ranging from (10 ) to ( 30 ) micrometer. The second case measures without coded targets, the points defined manually using mouse to referencing points in images and production of a 3D points to measure a distance between points, the accuracy from this case was about ( 0.1 ) to ( 0.5 ) mm. A PhotoModeler needs to include any known distance between two points on the object to the PhotoModeler software, and then the program will calculate the three dimensional coordinates to any points.

Keywords PhotoModeler Scanner ( version 6) program software; close range photogrammetry

  1. INTRODUCTION

    Today, three dimensional models were used widely. However, in most application of three dimensional modeling and visualization , large and complex three dimensional models the data are required.

    For this project, an experiment has been conducted to check the accuracy of the (Three Dimension) model generated using the photogrammetry technique. The orientation and has been automatically or manually according to the photographs so as the calibration. The object selected a small model of building, In this paper, there are two cameras used: Nikon Coolpix AW100, and SANYO E1075. The work was done using the photogrammetry software PhotoModeler Scanner (version 6). The tradition of any research in photogrammetry, we need a known control points to complete the project. In this paper, there is another approach to work with photogrammetry is PhotoModeler software. In such approach, it needs to include any known distance between two points in the object to the PhotoModeler software, and then the program will calculate the three dimensional coordinates to any point on the object, as well as the distance between any two points, area and size.

  2. 3D MODEL ESTABLISHMENT AND RESULTS ANALYSIS

    In this study before each of these cases calibration of the camera will be done after that photo will be taken to the object; second case takes three photos to the small solid model in this case selected minimum five or more points with code target and without code target to reference manually to orient the photos. After orientation each point has three coordinate values (x, y, z) and the distance between points in this study were compared between PhotoModeler and Vernier device as a measurement tool.

  3. DATA PROCESSING WITH PHOTOMODELER SOFTWARE

    Before The data processing with PhotoModeler can be summarized as follow as:

    1. Camera calibration

    2. Relative orientation

    3. Absolute orientation

      because of the fact that PhotoModeler represents an update development in close range photogrammetry. The calibration process by PhotoModeler software

  4. USING PHOTOMODELER AS A MEASUREMENT TOOL

    One of the important current developments in digital close range photogrammetric systems is the full automation of the measuring process. The very first step when starting an experimental model analysis project is the definition of the geometry used for visualization of the resulting mode shape. This geometry includes measurement points with a labeled and corresponding coordinates, and usually connections and surfaces allows a good visualization of the measured mode. When doing an experimental model analysis, one of the first tasks is the definition of the point to be measured, and to identify these points on the structures, then create a 3D model representing these measurement points. The scenarios is possible a comparison between the measurement of the points with targets and without targets (using small solid model).

  5. MEASUREMENT OF THE POINTS

    The targets (points that are going to be measured) need to be marked. Mark is the process of creating and positioning an object on a photograph. This can either be done manually, by mouse-click on the appropriate location on the photograph or in an automated mode. For automated mode, circular targets with a high contrast background should be used. Therefore the points need to be referenced (at least six points each photo was selected). Referencing points is the process of telling the software that two points, marked on two different photographs, represent the same physical point in space. The software will first calculate the relative camera positions, and then recalculate all the 3D coordinates of the points; by PhotoModeler we can measure 3D coordinates of the points or the distance between any two points directly. Vernier used to check real distances between the points, see figure (1) below, the left photograph is without targets and the right photograph is with targets.

    Fig 1. The photographs with targets and without targets.

    The distance between points are presented in Table (1) measured by Vernier, Table (3) with targets and Table (4) without targets, respectively.

    TABLE I. ACTUAL DISTANCE (MM) BY VERNIER.

    No

    Measurement

    Actual Distance (mm)

    From

    To

    1

    1

    2

    107.78

    2

    3

    4

    140.67

    3

    5

    6

    41.00

    4

    7

    8

    77.01

    TABLE II. THE THREE COORDINATES OF POINTS BY PHOTOMODELER

    No. of point

    X (mm.)

    Y (mm.)

    Z(mm.)

    1

    -294.005

    108.353

    69.155

    2

    -401.005

    109.140

    61.472

    3

    -273.151

    50.313

    33.175

    4

    -413.139

    49.976

    17.937

    5

    -304.630

    50.009

    24.021

    6

    -318.115

    49.509

    13.899

    7

    -319.980

    46.606

    6.702

    8

    -356.622

    46.942

    1.166

    TABLE III. THE DISTANCE BETWEEN POINTS WITH TARGETS.

    TABLE IV. THE DISTANCE BETWEEN POINTS WITHOUT TARGETS.

    No

    Measurement

    Distance (mm)

    From

    To

    1

    1

    2

    107.988

    2

    3

    <>4

    140.816

    3

    5

    6

    40.417

    4

    7

    8

    77.154

    After measuring the distance between the points by PhotoModeler with targets and without targets and compare with the actual distance by Vernier, the accuracy obtained from this results are ranges between (0.01 0.03) mm with target and ranges between (0.1 0.5) mm without targets, as in Table (5).

    TABLE V. THE ACCURACY OBTAINED FROM THE PHOTOMODELER

    No

    Measurement

    Measurement with targets

    Measurement without targets

    From

    To

    Absolute error (mm)

    Absolute error (mm)

    1

    1

    2

    0.013

    0.199

    2

    3

    4

    0.022

    0.146

    3

    5

    6

    0.012

    0.583

    4

    7

    8

    0.033

    0.144

    It is obtained that, from the above tables, and for the purpose of getting the proposed accuracy from photogrammetry by evaluating the three dimensions for the located points, such points should be well defined features by using targets.

  6. CONCLUSIONS

High accuracy obtained from this study (using normal close range photogrammetry and PhotoModeler), this accuracy ranging from (10 – 30) microns, the measuring using coded targets.

REFERENCES

  1. Jose Luis Lerma and Antonio Garcia., (2004). ''3D City Modelling and Visualization of Historic Centers'', Int workshop on vision techniques applied to the rehabilitation of city centers, 25-27 oct, Lisbon, Postugal.

  2. Mila Koeva., (2004). ''3D Realistic Modeling and Visualization of Buildings in Urban Areas'', Intsym on modern technologies, technologies, education and professional practice in geodesy and related fields, sofia, 04-05 nov.

  3. Ulrike Herbig and Peter Waldhausl., (1997). ''Architectural photogrammetry information system'', ISPRS-International Archives of Photogrammetry and Remote Sensing, Volume XXXII, Part 5C1B.

No

Measurement

Distance (mm)

From

To

1

1

2

107.767

2

3

4

140.648

3

5

6

40.988

4

7

8

77.043

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