Calibration of non-overlapping cameras based on a mobile robot

Huang, Hsin-Liang; Li, Nannan; Guo, Heng; Chen, Yen-Lun; Wang, Xinyu

doi:10.1109/icist.2015.7288991

Cited by 8 publications

(10 citation statements)

References 18 publications

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“…Optical mirrors [34,35], [43], [47], [49], [51] [39] [ 36], [40], [48] [ 37], [45,46], [50], [52] Structure from motion [55], [57], [59][60][61] [ 53,54], [63], [66,67], [69][70][71] [56], [58], [62], [64,65], [68], [72,73] Laser projection [77,78], [80] [74-76] Close range photogrammetry [87] [ [88][89][90] range of applications in visual tracking, pose estimation and robot navigation. The method based on laser projection can theoretically work in a large range, but it is difficult to obtain high calibration accuracy because the image quality of the spot or the light plane decays as the work distance increases.…”

Section: Discussionmentioning

confidence: 99%

Global calibration of non-overlapping cameras: State of the art

Xia

Zhao

et al. 2018

Optik

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Section: Discussionmentioning

confidence: 99%

Global calibration of non-overlapping cameras: State of the art

Xia

Zhao

et al. 2018

Optik

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“…(ii) Calibration using a mirror [31] [32]. (iii) Calibration using motion models [33] [34]. (iv) Calibration using auxiliary markers with supporting cameras [35].…”

Section: Calibration In a Multi-camera Systemmentioning

confidence: 99%

“…The method was then applied to obtain the global unification of the multicamera system. Huang et al [33] used a moving robot carrying a planar target to calibrate two fixed nonoverlapping cameras. The relative position of the moving robot, the marker placed on it, and the image captured by the multi-cameras were used to calibrate the cameras.…”

Section: Simultaneous Calibration Of Cameras Prevents Errormentioning

confidence: 99%

“…The learning metric is used to identify the features to be extracted from the tracked individual. Figueira et al [33] presented a discriminative approach that used an algorithm to learn and extract appearance-based descriptors from the body of each tracked person. The extracted features are used to create a model using a multi-scale feature learning framework obtained from the work of Qian et al [141].…”

Section: ) Learning-based Re-idmentioning

confidence: 99%

“…This approach is not applicable in real-time applications because of the computational complexity and large joint data required. Wang et al [33] presented a system that fuses tracking information in an overlapping multicamera set up using an approach called map-view mapping. A particle filtering algorithm was adopted for target tracking and information fusion was performed according to reliability and weighting of each source of information.…”

Section: ) Information Fusion In Overlapping Camerasmentioning

confidence: 99%

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Literature Survey on Multi-Camera System and Its Application

2020

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A multi-camera system combines features from different cameras to exploit a scene of an event to increase the output image quality. The combination of two or more cameras requires prior settings in terms of calibration and architecture. Therefore, this paper surveys the available literature in terms of multi-camera systems' physical arrangements, calibrations, algorithms, and their advantages and disadvantages. We also survey the recent developments and advancements in four areas of multi-camera system applications, which are surveillance, sports, education, and mobile phones. In the surveillance system, the combination of multiple heterogeneous cameras and the discovery of Pan-Tilt-Zoom (PTZ) and smart cameras have brought tremendous achievements in the area of multi-camera control and coordination. Different approaches have been proposed to facilitate effective collaboration and monitoring among the camera network. Furthermore, the application of multi-cameras in sports has made the games more interesting in the aspect of analyses and transparency. The application of the multi-camera system in education has taken education beyond the four walls of the class. The method of teaching, student attendance enrollment, determination of students' attention, teacher and student assessment can now be determined with ease, and all forms of proxy and manipulation in education can be reduced by using a multi-camera system. Besides, the number of cameras featuring on smartphones is gaining noticeable recognition. However, most of these cameras serve different purposes, from zooming, telephoto, and wider Field of View (FOV). Therefore, future smartphones should be expecting more cameras or the development would be in a different direction.

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Calibrating a Three-Viewpoints Thermal Camera with Few Correspondences

Kim

Lee

2023

J Sign Process Syst

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This paper proposes the approach to calibration of a thermal camera that has three viewpoints. This work estimates the intrinsic parameters of the camera by establishing geometric relationship between real-world scene points and image points. This work estimates the extrinsic parameters, i.e., rotation and translation of the camera using vanishing points. The present work is different from the existed work on the calibration from three perspectives. The first one is that this work calibrates thermal camera with three viewpoints whose relative rotation is greater than 180-degree. The second one is that the viewpoints shares few overlapped areas due to the structure of the camera, so the proposed work is more challenging and difficult than the previous work on the calibration. The third one is that projected image of a scene requires quality enhancement for the calibration. Since few overlapped images are given a priori, feature matching cannot be used for the calibration. Instead of using correspondence matching, vanishing points are exploited to estimate relative rotations of cameras. The intrinsic parameters are estimated by capturing thermal-checkerboard followed by image processing. Experimental results show the accuracy and stability of the proposed approach for estimation of the intrinsic and the extrinsic parameters.

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Calibration of non-overlapping cameras based on a mobile robot

Cited by 8 publications

References 18 publications

Global calibration of non-overlapping cameras: State of the art

Global calibration of non-overlapping cameras: State of the art

Literature Survey on Multi-Camera System and Its Application

Calibrating a Three-Viewpoints Thermal Camera with Few Correspondences

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