2010
DOI: 10.1109/tro.2010.2050518
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Robot Positioning Using Camera-Space Manipulation With a Linear Camera Model

Abstract: This paper presents a new version of the camera-spacemanipulation method (CSM). The set of nonlinear view parameters of the classic CSM is replaced with a linear model. Simulations and experiments show a similar precision error for the two methods. However, the new approach is simpler to implement and is faster.Index Terms-Camera matrix, camera-space manipulation (CSM), pinhole camera model, robot control, vision-based control.

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Cited by 21 publications
(26 citation statements)
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“…A neuroscience-inspired model of stereoptic and perspective orientation estimators, merged according to different criteria, is implemented on a robotic setup and tested in different conditions. In a similar manner, [97] presents a version of the camera-space manipulation method (CSM). The set of nonlinear view parameters of the classic CSM is replaced with a linear model.…”
Section: Localization and Pose Estimationmentioning
confidence: 99%
“…A neuroscience-inspired model of stereoptic and perspective orientation estimators, merged according to different criteria, is implemented on a robotic setup and tested in different conditions. In a similar manner, [97] presents a version of the camera-space manipulation method (CSM). The set of nonlinear view parameters of the classic CSM is replaced with a linear model.…”
Section: Localization and Pose Estimationmentioning
confidence: 99%
“…To solve this problem, this works substitutes the USB camera by another type of camera equipped with visual or thermal sensors. The literature presents different types of cameras: linear camera, color camera, stereo vision and infrared camera [14]- [18]. Currently, linear cameras are the cheapest technology on the market yet they perform very poorly in detecting humans [14].…”
Section: B Sensory Systemmentioning
confidence: 99%
“…The literature presents different types of cameras: linear camera, color camera, stereo vision and infrared camera [14]- [18]. Currently, linear cameras are the cheapest technology on the market yet they perform very poorly in detecting humans [14]. Color cameras and stereo vision are efficient in detecting a human presence and can be used for outdoor applications, but their high costs make them a bad candidate for this work.…”
Section: B Sensory Systemmentioning
confidence: 99%
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