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Vision Measurement Scheme Using Single Camera Rotation
Author(s) -
Shidu Dong
Publication year - 2013
Publication title -
isrn machine vision
Language(s) - English
Resource type - Journals
eISSN - 2090-780X
pISSN - 2090-7796
DOI - 10.1155/2013/874084
Subject(s) - rotation (mathematics) , translation (biology) , computer vision , coordinate system , artificial intelligence , rotation matrix , camera auto calibration , orientation (vector space) , euler's rotation theorem , camera matrix , pinhole camera model , position (finance) , camera resectioning , computer science , transformation (genetics) , transformation matrix , calibration , point (geometry) , mathematics , physics , geometry , kinematics , biochemistry , chemistry , finance , classical mechanics , statistics , messenger rna , economics , gene
We propose vision measurement scheme for estimating the distance or size of the object in static scene, which requires single camera with 3-axis accelerometer sensor rotating around a fixed axis. First, we formulate the rotation matrix and translation vector from one coordinate system of the camera to another in terms of the rotation angle, which can be figured out from the readouts of the sensor. Second, with the camera calibration data and through coordinate system transformation, we propose a method for calculating the orientation and position of the rotation axis relative to camera coordinate system. Finally, given the rotation angle and the images of the object in static scene at two different positions, one before and the other after camera rotation, the 3D coordinate of the point on the object can be determined. Experimental results show the validity of our method.

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