Digital camera calibration method based on PhotoModeler

Weizheng, Zhang; Jiang, Tao; Mingqin, Han

doi:10.1109/cisp.2010.5647253

Cited by 9 publications

(8 citation statements)

References 4 publications

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“…A rigorous discussion of digital camera calibration using PhotoModeler is found in recent literature [9]. All of these works describe a workflow approach and resulting accuracies which are consistent with our efforts.…”

Section: Close-range Photogrammetrysupporting

confidence: 72%

Precise positioning surveillance in 3-D using night-vision stereoscopic photogrammetry

Schwartz¹

2011

SPIE Proceedings

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A 3-D imaging technique is presented which pairs high-resolution night-vision cameras with GPS to increase the capabilities of passive imaging surveillance. Camera models and GPS are used to derive a registered point cloud from multiple night-vision images. These point clouds are used to generate 3-D scene models and extract real-world positions of mission critical objects. Analysis shows accuracies rivaling laser scanning even in near-total darkness. The technique has been tested on stereoscopic 3-D video collections as well. Because this technique does not rely on active laser emissions it is more portable, less complex, less costly, and less detectable than laser scanning. This study investigates close-range photogrammetry under night-vision lighting conditions using practical use-case examples of terrain modeling, covert facility surveillance, and stand-off facial recognition. The examples serve as the context for discussion of a standard processing workflow. Results include completed, geo-referenced 3-D models, assessments of related accuracy and precision, and a discussion of future activities.

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Section: Close-range Photogrammetrysupporting

confidence: 72%

Precise positioning surveillance in 3-D using night-vision stereoscopic photogrammetry

Schwartz¹

2011

SPIE Proceedings

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“…Wiggenhagen (2002), Remondino and Fraser (2006), Wotjas (2010) and Zhang et al (2010) also used Photomodeler software to calibrate CCD cameras with good results. The management of Photomodeler for applying an automatic calibration (lab calibration) or a field calibration is very straightforward and its relative low cost in comparison with other photogrammetric software make it appropriate software for digital camera calibration.…”

Section: B Discussionmentioning

confidence: 99%

“…An accurate determination of the camera's interior and exterior orientation parameters is needed for calibrating a camera. Many calibrating techniques have been developed in the last few years: Mason et al (1997), Karras and Mavrommati (2001), Honkavaara et al (2006), Remondino and Fraser, (2006), Douskos et al (2007), Grammatikopoulos et al (2007), Wang et al (2008, Zhang et al (2010) and others, but there are not many calibration techniques in which the images are taken from UAVs. Also in Clarke and Fryer (1998) can be found a review of some calibration methods.…”

Section: Introductionmentioning

confidence: 99%

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Digital Camera Calibration Using Images Taken From an Unmanned Aerial Vehicle

García

Agüera

Carvajal

2012

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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Commission I, WG I/V KEY WORDS: Unmanned Aerial Vehicle, camera calibration, UAV photogrammetry, Photomodeler Scanner, Microdron ABSTRACT:For calibrating the camera, an accurate determination of the interior orientation parameters is needed. For more accurate results, the calibration images should be taken under conditions that are similar to the field samples. The aim of this work is the establishment of an efficient and accurate digital camera calibration method to be used in particular working conditions, as it can be found with our UAV (Unmanned Aerial Vehicle) photogrammetric projects. The UAV used in this work was md4-200 modelled by Microdrones. The microdrone is also equipped with a standard digital nonmetric camera, the Pentax Optio A40 camera. To find out the interior orientation parameters of the digital camera, two calibration methods were done. A lab calibration based on a flat pattern and a field calibration were fulfilled. To carry out the calibration, Photomodeler Scanner software was used in both cases. The lab calibration process was completely automatic using a calibration grid. The focal length was fixed at widest angle and the network included a total of twelve images with ± 90º roll angles. In order to develop the field calibration, a flight plan was programmed including a total of twelve images. In the same way as in the lab calibration, the focal length was fixed at widest angle. The field test used in the study was a flat surface located on the University of Almería campus and a set of 67 target points were placed. The calibration field area was 25 x 25 m approximately and the altitude flight over ground was 50 m. After the software processing, the camera calibration parameter values were obtained. The paper presents the process, the results and the accuracy of these calibration methods. The field calibration method reduced the final total error obtained in the previous lab calibration. Furthermore the overall RMSs obtained from both methods are similar. Therefore we will apply the field calibration results to all our photogrammetric projects in which the flight high will be close to 50 m. KURZFASSUNG:Kamerakalibrierung bezeichnet ein Verfahren, welche die Parameter einer Kamera bestimmen. Die Bilder müssen unter den gleichen Bedingungen wie auf den Feldproben gemacht werden. Das Ziel des Beitrags ist es, eine benötigte Methodologie für Kamerakalibrierung mit UAV Photogrammetrie zu erreichen. Das UAV-System für die Untersuchungen wurde md4-200 bei Microdrones erfunden. Die md4-200 ist mit einer Kompaktkamera, einer Pentax Optio A40 Digitalkamera, ausgestattet. Zwei Kamerakalibrierungsmethoden sind gemacht worden, um die inneren Kamera Parameter kennen zu können. Eine Laborkalibrierung mit einem Testfeld und eine Testfeldkalibrierung sind ausgerichtet worden. Photomodeler Scanner software ist für die Kamerakalibrierungsprozesse in beiden Test ausgewählt worden. Der Laborkalibrierungsprozess war vollautomatish. Die Bilder sind mit längerer Brennweite gemacht worden. Die Bilder des Testfeld...

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“…Camera calibration is the process of determining characteristics of a camera so it can be used as a measurement device. (W. Zhang et al, 2010). (Singh et al, 2012) We should follow the following main points during photography to obtained the best result from Photomodeler software,.…”

Section: Comparative Study Based On Data Acquisitionmentioning

confidence: 99%

Image based 3D city modeling : Comparative study

Singh

Jain

Mandla

2014

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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ABSTRACT:3D city model is a digital representation of the Earth's surface and it's related objects such as building, tree, vegetation, and some manmade feature belonging to urban area. The demand of 3D city modeling is increasing rapidly for various engineering and non-engineering applications. Generally four main image based approaches were used for virtual 3D city models generation. In first approach, researchers were used Sketch based modeling, second method is Procedural grammar based modeling, third approach is Close range photogrammetry based modeling and fourth approach is mainly based on Computer Vision techniques. SketchUp, CityEngine, Photomodeler and Agisoft Photoscan are the main softwares to represent these approaches respectively. These softwares have different approaches & methods suitable for image based 3D city modeling. Literature study shows that till date, there is no complete such type of comparative study available to create complete 3D city model by using images. This paper gives a comparative assessment of these four image based 3D modeling approaches. This comparative study is mainly based on data acquisition methods, data processing techniques and output 3D model products. For this research work, study area is the campus of civil engineering department, Indian Institute of Technology, Roorkee (India). This 3D campus acts as a prototype for city. This study also explains various governing parameters, factors and work experiences. This research work also gives a brief introduction, strengths and weakness of these four image based techniques. Some personal comment is also given as what can do or what can't do from these softwares. At the last, this study shows; it concluded that, each and every software has some advantages and limitations. Choice of software depends on user requirements of 3D project. For normal visualization project, SketchUp software is a good option. For 3D documentation record, Photomodeler gives good result. For Large city reconstruction; CityEngine is a good product. Agisoft Photoscan software creates much better 3D model with good texture quality and automatic processing. So this image based comparative study is useful for 3D city user community. Thus this study will provide a good roadmap for geomatics user community to create photo-realistic virtual 3D city model by using image based techniques.

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Digital camera calibration method based on PhotoModeler

Cited by 9 publications

References 4 publications

Precise positioning surveillance in 3-D using night-vision stereoscopic photogrammetry

Precise positioning surveillance in 3-D using night-vision stereoscopic photogrammetry

Digital Camera Calibration Using Images Taken From an Unmanned Aerial Vehicle

Image based 3D city modeling : Comparative study

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