&lt;title&gt;Practical testing of the precision and accuracy of target image centering algorithms&lt;/title&gt;

Shortis, Mark R.; Clarke, Timothy A.; Robson, Stuart

doi:10.1117/12.220925

Cited by 49 publications

(35 citation statements)

References 15 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Three of the more common centroid detection techniques were chosen for study -two variations on a weighted centroid method, and a Gaussian least squares fit method. The basic algorithms are intensity based techniques and have been previously studied as part of a broader evaluation for target centroiding precision 8 .…”

Section: Discussionmentioning

confidence: 99%

Validation of Laser-Induced Fluorescent Photogrammetric Targets on Membrane Structures

Jones

Dorrington²,

Shortis

et al. 2004

45th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics &Amp;amp; Materials Conference

View full text Add to dashboard Cite

The need for static and dynamic characterization of a new generation of inflatable space structures requires the advancement of classical metrology techniques.A new photogrammetric-based method for non-contact ranging and surface profiling has been developed at NASA Langley Research Center (LaRC) to support modal analyses and structural validation of this class of space structures. This full field measurement method, known as Laser-Induced Fluorescence (LIF) photogrammetry, has previously yielded promising experimental results. However, data indicating the achievable measurement precision had not been published. This paper provides experimental results that indicate the LIF-photogrammetry measurement precision for three different target types used on a reflective membrane structure. The target types were: (1) non-contact targets generated using LIF, (2) surface attached retro-reflective targets, and (3) surface attached diffuse targets. Results from both static and dynamic investigations are included.

show abstract

Section: Discussionmentioning

confidence: 99%

Validation of Laser-Induced Fluorescent Photogrammetric Targets on Membrane Structures

Jones

Dorrington²,

Shortis

et al. 2004

45th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics &Amp;amp; Materials Conference

View full text Add to dashboard Cite

show abstract

“…A simple centroid was computed from the pixels belonging to a target. This method has been reported to give a good sub-pixel accuracy (Shortis et al, 1995).…”

Section: Trigger Detectionmentioning

confidence: 95%

Wired and Wireless Camera Triggering With Arduino

Kauhanen

Rönnholm

2017

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

View full text Add to dashboard Cite

ABSTRACT:Synchronous triggering is an important task that allows simultaneous data capture from multiple cameras. Accurate synchronization enables 3D measurements of moving objects or from a moving platform. In this paper, we describe one wired and four wireless variations of Arduino-based low-cost remote trigger systems designed to provide a synchronous trigger signal for industrial cameras. Our wireless systems utilize 315MHz or 434MHz frequencies with noise filtering capacitors. In order to validate the synchronization accuracy, we developed a prototype of a rotating trigger detection system (named RoTriDeS). This system is suitable to detect the triggering accuracy of global shutter cameras. As a result, the wired system indicated an 8.91 μs mean triggering time difference between two cameras. Corresponding mean values for the four wireless triggering systems varied between 7.92 and 9.42 μs. Presented values include both camera-based and trigger-based desynchronization. Arduino-based triggering systems appeared to be feasible, and they have the potential to be extended to more complicated triggering systems.

show abstract

“…Localizing the targets is then a trivial task as they are highly contrasted against the remaining image content. Once the points are localized, their centers are typically found with centroiding methods, ellipse fitting or correlation (Shortis et al, 1995, Otepka, 2004, Wiora et al, 2004, Burgess et al, 2011. In tracking applications, physical environment often precludes a complete detection and localization of points.…”

Section: Target Motion Modelmentioning

confidence: 99%

Off-the-Shelf Videogrammetry – A Success Story

Rupnik

Jansa

2014

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

View full text Add to dashboard Cite

ABSTRACT:Since the time Brown introduced the concept of self-calibration, it was known that there was no impediment in using consumer grade devices for metric purposes. Today, dSLR cameras are knowingly the standard photogrammetric tool in applications when time is not an issue, thus images can be taken sequentially. Nonetheless, albeit available with standard video signal, there has been little interest in applying them to observe dynamic scenes. In this paper we present a methodology to use dSLR cameras for shape and motion reconstruction at frequency of 30Hz. Particular focus is put on calibration and orientation issues, in static and dynamic cases i.e. cameras also undergoing a change in position during the measurement. Performance of the system was validated with results obtained by a system of superior quality.

show abstract

<title>Practical testing of the precision and accuracy of target image centering algorithms</title>

Cited by 49 publications

References 15 publications

Validation of Laser-Induced Fluorescent Photogrammetric Targets on Membrane Structures

Validation of Laser-Induced Fluorescent Photogrammetric Targets on Membrane Structures

Wired and Wireless Camera Triggering With Arduino

Off-the-Shelf Videogrammetry – A Success Story

Contact Info

Product

Resources

About