Title :
Calibration of stereo vision systems by neural networks
Author :
Angrilli, F. ; Bastianello, S. ; Forno, R. Da
Author_Institution :
Dept. of Mech. Eng., Padova Univ., Italy
Abstract :
In this paper will be analysed a calibration procedure for stereo vision based on neural networks. The neural net is trained using as input pattern the position from two or more CCD cameras of the image points corresponding to the calibration points and as target pattern the actual 3D co-ordinates of the calibration points. The goal is the approximation of the non-linear map which relates the external co-ordinates in 3D space to the CCD locations
Keywords :
CCD image sensors; computer vision; computerised instrumentation; neural nets; stereo image processing; 3D co-ordinates; 3D space; CCD cameras; CCD locations; calibration; image points; input pattern; neural networks; nonlinear map; stereo vision systems; target pattern; Calibration; Cameras; Charge coupled devices; Neural networks; Nonlinear optics; Optical computing; Optical distortion; Pixel; Stereo vision; Target tracking;
Conference_Titel :
Instrumentation and Measurement Technology Conference, 1996. IMTC-96. Conference Proceedings. Quality Measurements: The Indispensable Bridge between Theory and Reality., IEEE
Conference_Location :
Brussels
Print_ISBN :
0-7803-3312-8
DOI :
10.1109/IMTC.1996.507286
