Multiple view geometry in computer visiond
Multiple view geometry in computer visiond
Visual methods for three-dimensional modeling
Visual methods for three-dimensional modeling
Supporting structure from motion with a 3D-range-camera
SCIA'07 Proceedings of the 15th Scandinavian conference on Image analysis
A combined approach for estimating patchlets from PMD depth images and stereo intensity images
Proceedings of the 29th DAGM conference on Pattern recognition
Lateral and depth calibration of PMD-Distance sensors
ISVC'06 Proceedings of the Second international conference on Advances in Visual Computing - Volume Part II
Pose estimation and map building with a Time-Of-Flight-camera for robot navigation
International Journal of Intelligent Systems Technologies and Applications
Time-of-Flight sensor calibration for accurate range sensing
Computer Vision and Image Understanding
Combining stereo and time-of-flight images with application to automatic plant phenotyping
SCIA'11 Proceedings of the 17th Scandinavian conference on Image analysis
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The estimation of position and orientation of a Photonic Mixer Device (PMD) camera in a global reference frame is required by many measurement applications based on such systems. PMD cameras produce a depth as well as a reflectance image of low resolution compared to standard optical cameras, so that calibration of the cameras based on the reflectance image alone is difficult. We will present a novel approach for calibrating the focal length and 3D pose of a PMD camera based on the depth and reflectance image of a planar checkerboard pattern. By integrating both sources of information higher accuracies can be achieved. Furthermore, one single image is sufficient for calibrating the focal length as well as the 3D pose from a planar reference object. This is because the depth measurements are orthogonal to the lateral intensity measurements and provide direct metric information.