Calibration and low-level data fusion algorithms for a parallel 2D/3D-camera

Hanning, Tobias; Lasaruk, Aless; Tatschke, T.

doi:10.1016/j.inffus.2010.01.006

Cited by 18 publications

(7 citation statements)

References 12 publications

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“…More recently, the image fusion has received significant attention and became a relevant research field with many systems [20] and algorithms [8,12,23,24,45] presented in the last years. The limited visual perception capability of AUVs restricts the use of such vehicles to medium/long range missions however, researchers are developing new techniques to enhance the visibility of underwater optical systems [22,25] .…”

Section: Related Workmentioning

confidence: 99%

MARESye: A hybrid imaging system for underwater robotic applications

Pinto

Matos

2020

Information Fusion

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Section: Related Workmentioning

confidence: 99%

MARESye: A hybrid imaging system for underwater robotic applications

Pinto

Matos

2020

Information Fusion

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“…To obtain the 3D thermogram we wish to use to detect people, the TOF and IR data must be fused. A method to fuse TOF range data with images from a regular camera is proposed in (Hanning et al, 2011). Their method relies on the cameras being perfectly parallel, a condition that is not met by our sensor.…”

Section: Data Fusionmentioning

confidence: 99%

Exploring the Potential of Combining Time of Flight and Thermal Infrared Cameras for Person Detection

Abbeloos

Goedemé

2013

Proceedings of the 10th International Conference on Informatics in Control, Automation and Robotics

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Combining new, low-cost thermal infrared and time-of-flight range sensors provides new opportunities for person detection. We show how to calibrate a system combining both sensors. Our calibration approach differs from the traditional stereo camera calibration in two fundamental ways. A first distinction is that the spectral sensitivity of the two sensors differs significantly. In fact, there is no sensitivity range overlap at all. A second distinction is that their resolution is typically very low, which requires special attention. We assume a situation in which the sensors' relative position is known, but their orientation is unknown. In addition, some of the typical measurement errors are discussed, and methods to compensate for them are proposed. We show how the fused data can be used to increase accuracy and robustness in a variety of applications, and we outline our future work.

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“…The so-called co-lens optical path assures the simultaneous acquisition of the range images and 2-D images and the natural registration between them, which indicates a sophisticated optical design and spectral separation. Finally, the 3-D images can be produced in Personal Computer (PC) by fusing the data from range image and 2-D image [7][8].…”

Section: Tof Measurementmentioning

confidence: 99%

“…At last, the 3-D images can be produced in PC by fusing the data from range image and 2-D image using some similar date fusion algorithms reported in Ref [7] and Ref [8]. What should be mentioned is an interpolation process should be done for the range image before the final data fusion, since the pixel of range image is less than the one of 2-D image, as shown in Fig.8.…”

Section: The Verification Of Co-lens Optical Pathmentioning

confidence: 99%

An LED-array-based range imaging system used for enhancing three-dimensional imaging

Wang

et al. 2010

Optoelectronic Imaging and Multimedia Technology

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An LED-array-based range imaging system is proposed for three-dimensional (3-D) shape measurement. The range image is obtained by time-division electronic scanning of the LED Time-of-Flight (TOF) range finders in array, and no complex mechanical scanning is needed. By combining with a low cost CCD/CMOS sensor for capturing the twodimensional (2-D) image, the proposed range imaging system can be used to accomplish a high quality 3-D imaging. A sophisticated co-lens optical path is designed to assure the natural registration between the range image and 2-D image. Experimental tests for evaluation of the imaging system performance are described. It was found that the 3-D images can be acquired at a rate of 10 frames per second with a depth resolution better than 5mm in the range of 50 -1000mm, which is sufficient for many practical applications, including the obstacle detection in robotics, machine automation, 3-D vision, virtual reality games and 3-D video.

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Calibration and low-level data fusion algorithms for a parallel 2D/3D-camera

Cited by 18 publications

References 12 publications

MARESye: A hybrid imaging system for underwater robotic applications

MARESye: A hybrid imaging system for underwater robotic applications

Exploring the Potential of Combining Time of Flight and Thermal Infrared Cameras for Person Detection

An LED-array-based range imaging system used for enhancing three-dimensional imaging

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