Development and Evaluation of a Miniature Trinocular Camera System for Surgical Measurement Applications

Conen, N.; Lühmann, Thomas; Maas, Hans‐Gerd

doi:10.1007/s41064-017-0014-3

Cited by 6 publications

(9 citation statements)

References 19 publications

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“…After ICP the standard deviation of the shortest distances between the datasets (cloud-to-mesh) is determined to be 0.203 mm. Considering the height-to-base ratio of about 10:1, the Monte-Carlo simulation and tests from Conen et al (2017), the achieved accuracy is plausible. For laparoscopic surgeries, which are operations in the abdominal or pelvic cavities, the achieved accuracy is sufficient.…”

Section: Resultsmentioning

confidence: 76%

“…With respect to the Monte-Carlo simulation, previous experiments from Conen et al (2017) and the results of this paper, the resulting standard deviations are considered reliable. Even though polarising filters add an optical component to the camera model, their impact in accuracy is marginal.…”

Section: Comparison With Laser Triangulation Sensormentioning

confidence: 74%

“…The image resolution is 640 × 640 px² with a pixel size of 3.6 µm. The system resembles a trinocular endoscope that allows stereovision and reliable 3D measurements in surgical scenarios (Conen et al, 2017). Due to size restrictions the height-to-base ratio is approximately 10:1.…”

Section: Orientation Of Trinocular Endoscopementioning

confidence: 99%

“…Since a stable absolute orientation is assumed, the standard deviation represents the precision. A Monte-Carlo simulation performed in Conen et al (2017) leads to a standard deviation for the depth of 247 µm for a similar imaging distance (75 mm) and an assumed measurement accuracy in image space of half a pixel. However, Conen et al (2017) mentioned that due to semi-global optimisation and subpixel interpolation a more optimistic measurement accuracy would be more realistic.…”

Section: Reflexion Suppression For Image Matchingmentioning

confidence: 99%

“…A Monte-Carlo simulation performed in Conen et al (2017) leads to a standard deviation for the depth of 247 µm for a similar imaging distance (75 mm) and an assumed measurement accuracy in image space of half a pixel. However, Conen et al (2017) mentioned that due to semi-global optimisation and subpixel interpolation a more optimistic measurement accuracy would be more realistic. A quarter pixel accuracy results in a standard deviation for the depth of about 124 µm, which is comparable to the derived precision of the second crosspolarisation measurement.…”

Section: Reflexion Suppression For Image Matchingmentioning

confidence: 99%

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Improving Image Matching by Reducing Surface Reflections Using Polarising Filter Techniques

Conen

Hastedt

Kahmen

et al. 2018

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

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ABSTRACT:In dense stereo matching applications surface reflections may lead to incorrect measurements and blunders in the resulting point cloud.To overcome the problem of disturbing reflexions polarising filters can be mounted on the camera lens and light source. Reflections in the images can be suppressed by crossing the polarising direction of the filters leading to homogeneous illuminated images and better matching results.However, the filter may influence the camera's orientation parameters as well as the measuring accuracy. To quantify these effects, a calibration and an accuracy analysis is conducted within a spatial test arrangement according to the German guideline VDI/VDE 2634.1 (2002) using a DSLR with and without polarising filter. In a second test, the interior orientation is analysed in more detail. The results do not show significant changes of the measuring accuracy in object space and only very small changes of the interior orientation (c ≤ 4 µm) with the polarising filter in use.Since in medical applications many tiny reflections are present and impede robust surface measurements, a prototypic trinocular endoscope is equipped with polarising technique. The interior and relative orientation is determined and analysed. The advantage of the polarising technique for medical image matching is shown in an experiment with a moistened pig kidney. The accuracy and completeness of the resulting point cloud can be improved clearly when using polarising filters. Furthermore, an accuracy analysis using a laser triangulation system is performed and the special reflection properties of metallic surfaces are presented.

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Section: Resultsmentioning

confidence: 76%

Section: Comparison With Laser Triangulation Sensormentioning

confidence: 74%

Section: Orientation Of Trinocular Endoscopementioning

confidence: 99%

Section: Reflexion Suppression For Image Matchingmentioning

confidence: 99%

Section: Reflexion Suppression For Image Matchingmentioning

confidence: 99%

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