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Archive > February 2012, Volume 26, Number 2 > Panorama Photogrammetry

Panorama Photogrammetry

  27/02/2012
Accurate 3D Documentation with High-resolution 360 Images
Under the leadership of the Japan Association of Surveyors, the new Fodis Measure3D system was benchmarked against total stations and single frame array cameras for detecting RFID tag positions. One test was performed outdoors for accuracy and two tests indoors for productivity. Fodis Measure3D proved to be an accurate and reliable solution and was shown to be time-efficient, especially for indoor applications where rapid, accurate and selective point measurements are required.
Jafar Amiri Parian, FODIS, Switzerland, and Kosuke Tsuru, Japan Association of Surveyors, Japan

 

 Figure 1, Fodis panorama camera.In Japan, outdoor navigation by GPS is both popular and successful, and such outdoor navigation technology is now available for use with smartphones - to provide an online restaurant guide, for instance. The demand for reliable indoor navigation is also increasing, and many Japanese companies are helping to develop the new market of indoor positioning. This entails establishing a system similar to GPS by means of Radio Frequency IDentification (RFID). RFID is a generic term which is used to describe a system that transmits the identity (in the form of a unique serial number) of an object or person wirelessly, using radio waves. Japan Association of Surveyors (JAS) wanted to compare the accuracy and efficiency of the Fodis Measure3D solution against the traditional method of measuring and documenting the tag positions.

 

Fodis Measure3D

In spring 2011, Fodis introduced the new Fodis Measure3D system. Fodis Measure3D is a combination of a fast, high-resolution, 360° panorama camera with innovative software packages, allowing direct 3D measurement in RGB images rapidly and accurately. The Fodis panorama camera has three parts: a camera head, an optical part, and a high-precision motor. The camera head, which consists of a linear array of Charge-Coupled Device (CCD), allows rapid image acquisition in Time Delay Integration (TDI) mode, typically in a few seconds for 360° image capture. Camera control and image transfer to a tablet PC are performed via gigabit Ethernet. The optical part of the system allows the use of different lenses. The camera head is mounted on a high-precision rotating motor. Upon rotation of the motor, the linear array sensor captures the scene as a continuous set of vertical scan lines. Rotation speed and scanning angle are pre-selectable and correspond to the shutter speed, image size and the focal length of the lens. Fodis Measure3D software is a unique, close-range photogrammetry software capable of processing frame array and panoramic imagery. It includes advanced methods of camera calibration, image processing and optimisation to assure high accuracy and reliability.

 

Test Requirements

 Figure 2, Measurement network for an accuracy test.Experience has shown that, when it comes to measuring and documenting RFID tag positions, total stations in combination with frame array cameras are not particularly time-efficient. JAS wanted to compare the accuracy and the time-efficiency of the Fodis Measure3D solution against this traditional method of measuring the tag positions.

 

For the evaluation of the Fodis Measure3D compared to the traditional method, JAS designated three different locations: one outdoor site and two indoor sites, all located in the area of Tokyo Bay. The outdoor test site was used to test the accuracy of the Fodis solution. The outdoor test site was an outdoor staircase with a length of 30m, a width of 13m and a height of 10m. A total of 15 marked circular targets were distributed regularly over the staircase for the test (Figure 2).

 

 Figure 3, A 360° panoramic image captured within a few seconds from the test field.Two large indoor halls were used for testing the time-efficiency of the Fodis system. The points of interest, the respective RFID locations, were selected at different heights. Some RFIDs were located at eye level, some located on the side walls and others on the ceiling. A total of 45 natural interest points were selected for testing the time-efficiency of the Fodis system.

 

Data Collection

Data collection was performed with three different instruments: a panorama camera, a frame array camera and a total station. The total station was a Sokkia SET 3030R with an accuracy of 2.5 arcsec for angle measurement and an accuracy of 3mm+2ppm for distance measurement. The frame array camera was a Canon EOS 5D with a 50mm lens. The panorama camera was a Fodis camera with a 45mm lens. Fodis Measure3D software was used for the photogrammetric processing of the images from the Canon frame array and Fodis panorama cameras.

 

Set-up of Outdoor Accuracy Test

The measurement team placed the Fodis camera at three different locations at a distance of approximately 12m from the beginning of the test field (Figure 2). At every station, one high-resolution panoramic image of 300 million pixels was captured (Figure 3) in about 6 seconds.

 

The marked circular targets were measured with both solutions - the Fodis Measure3D as well as the total station and the frame array camera.

 

Set-up of Indoor Time-efficiency Test

Documenting the entire scene of the indoor spaces would have required many frame array images (more than 100) and hence would have taken a significantly longer time to process. It was therefore decided to only collect data using the panorama camera and the total station. The measurement team would normally set up four Fodis camera stations to cover the full area of each indoor space. However, because the first indoor measurement space was rectangular, and covering the entire scene would have been too difficult with only four camera stations, the team decided to locate the Fodis camera at eight different locations.

 

The Fodis team faced the challenge of people moving about in the field of view and creating occlusions for the measurement. Traffic regulating measures and suchlike usually stop people from interfering with image/data acquisition during this kind of measurement. However, since the Fodis images were being acquired from different stations, these occlusions did not pose any problems to the final measurement. If the area is very crowded, this challenge can also be overcome by capturing multiple images per station. Hence, the Fodis system is practical since it does not interrupt traffic or disturb the flow of people.

 

 Figure 4, Typical interest points as a possible RFID location.Measuring features with a total station can lead to a high degree of error, because the interest points are natural features which cannot be accurately identified from different stations. In addition, because of steep incident angles, features on the ceiling are difficult to measure for the operator of a total station (Figure 4).

 

As a consequence of the recent natural disaster in Japan, power supply was limited and therefore the hall had minimal illumination, which left the scene very dark. Despite such poor lighting conditions, the Fodis camera captured every 300 million pixel image within just 30 seconds without compromising measurement precision.

 

Fodis Measure3D works with just a few high-resolution panoramas covering the entire scene, thus allowing rapid processing. If a frame array camera had been used, a significantly greater number of frame images would have been required to cover the entire scene. Furthermore, the processing of the large amount of frame images would have taken significantly longer.

 

Results of Outdoor Accuracy Test

Accuracy of the Fodis solution was tested in comparison with the 3D measurement of a total station. The photogrammetric computation was performed with control points and check points. Four marked targets were defined as control points and 11 marked targets as check points (Figure 2). Control points were defined for datum definition and the accuracy was evaluated at check points.

 

For accuracy reporting, the marked targets are divided into three groups: A, B and C (Figure 2 and Table 1). The points of each group have approximately equal ray intersection angle values. The ray intersection angle at each marked target is the maximum angle between the sightlines of each camera station and the marked target.

 

Point group

 

RMS errors at check points (mm)
X

 



Y (depth axis)

 



Z

 

Number of check points

 

Distance to camera (m)

 

A

 

1.8

 

1.5

 

0.5

 

3

 

12

 

B

 

1.3

 

11

 

0.9

 

5

 

27

 

C

 

2.7

 

8.8

 

1

 

3

 

42

 

 

Table 1, Accuracy test results of Fodis Measure3D at 11 checkpoints. Reference Measurement is a total station measurement.

 

As a result, an accuracy of on average just over 1mm (at 12m distance) for group A (Table 1) was obtained. This set-up gave best results for points in group A because the ray intersection angle is larger compared to ray intersection angles in group B or group C. The accuracy in the depth axis (Y-axis) is significantly worse because the ray intersection angle is very small.

 

Similar accuracy results to the Fodis Measure3D were reached with the frame array camera solution. For this system, the images were taken from the exact same location as for the Fodis camera.

 

Results of Indoor Time-Efficiency Tests

Photogrammetric computations were performed with the free network adjustment. The free network adjustment computes the overall geometry of the network by processing only the measurements. It needs at least one known distance between two points for scaling the network of measurement. In these cases, the scale was recovered from a distance measurement which had already been established, for example from a total station or simply from a manual distance measurement.

 

Overall, the Fodis Measure3D system proved to be useful for indoor measurement (Table 2). These tasks were carried out by only one operator. In comparison, the total station workflow required three hours of field work, approximately 1.5 hours of office work, and more staff (three operators).

 

Time spent on

 

Test site 2

 

Test site 3

 

Data acquisition (field work)

 

50 minutes

 

25 minutes

 

Data transfer from tablet PC to a workstation PC

 

20 minutes

 

10 minutes

 

Image orientation (office work)

 

30 minutes / 8 images

 

15 minutes / 4 images

 

3D point measurement (office work)

 

30 minutes / 40 3D points

 

5 minutes / 5 3D points

 

Total time spent

 

130 minutes

 

55 minutes

 

  Table 2, Productivity of Fodis Measure3D (one man/hour).

 

Conclusions

When it comes to measuring and documenting RFID tag positions, total stations and frame array cameras are not time-efficient in practice. Japan Association of Surveyors (JAS) compared the accuracy and time-efficiency of the Fodis Measure3D solution against the traditional method of measuring and documenting the tag positions. One test was conducted for accuracy testing using a total station at 11 checkpoints. The results show an accuracy of 1mm in 10 metres. Two tests were conducted indoors to evaluate the time-efficiency of the system. The comparison shows that the system requires less time in the field and can be performed by just one operator. In addition, the Fodis Measure3D solution has the benefit of the 360° panorama image and, ultimately, can export the measurement results into a virtual tour which can be shared on a web platform for the assessment of tagged positions - with the owner of a building, electrical engineer and surveyor engineer, for example. In conclusion, the Fodis Measure3D is a viable alternative to total stations and frame array cameras. It is a highly practical method with regards to time-efficiency spent in the field, in automatic data acquisition/storage as well as completeness of the data acquisition.

 

Biography of the Author(s)
Jafar Amiri Parian received a PhD in photogrammetry from ETH Zurich-Switzerland on the subject of panoramic photogrammetry in 2007. He has developed advanced photogrammetric software for the precise dimensional measurement of space structures for the European Space Agency. He is the founder and CEO of PhotoCore GmbH, Switzerland.
E-mail: jafar.amiri.parian@fodis.com

Kosuke Tsuru is one of the pioneers of aerial photogrammetry and digital mapping in Japan. He has been engaged in standardisation of these fields for Japan Association of Surveyors for many years. He was the chairman of ISPRS Commission II and the vice president of the technical committee of the Association of Precise Survey and Applied Technology. He is now the director of Japan Society of Photogrammetry and Remote Sensing and the chief researcher within Japan Association of Surveyors.
Email: tsuru@geo.or.jp
References
http://www.fodis.com




   


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