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- W2291274429 abstract "This thesis presents the development of a better camera model and the characterization/calibration procedures. Major advantages of the model are that (1) it is an all-around model, more comprehensive than any reported in the literature that satisfactorily represents a digitizing-camera as a complete system with the lens-aperture, the light-sensing, the video-processing, and the digitization subsystems, (2) it calibrates the radiometric distortions as well as geometric distortions, and (3) it leads to more accurate dimensional measurements by allowing compensation for the geometric bias due to the radiometric nonlinearity of the camera.The model emphasizes the light sensing characteristics of the camera and the temporal and the spatial sampling of the image. The transducer is modeled as a nonlinear device with cut-off and saturation. The sampling-window of the transducer is realistically smaller than the sensor-element-spacing (spatial sampling period) so that there are insensitive areas between the sensor-elements. These insensitive areas give rise to a spatial thresholding effect in the continuous amplitude domain. The model assumes the temporal sampling frequency of the video signal to be independent of the spatial sampling frequency of the image so that the pixel-asynchronous sampling could be represented. The camera optics is modeled as a thick lens with aperture control. The object distances are measured from the entrance pupil and the image distances are measured from the exit pupil. In contrast to the pinhole model, the focus, the vignetting, and the depth-of-field effects are satisfactorily described. The lens distortion is assumed to be radial, but is allowed to change with the object-distance.The camera model and the calibration procedures are validated by comparing the model predictions to the experimental data. The model predictions are obtained from the model simulator. The comparisons are performed on the radiometric characteristics as well as on the geometric characteristics of the camera. The results show very good match between the observed and the predicted data.The model and the calibration procedures are applied to metrological problems in industry. The measurement accuracy achieved by a calibrated camera is one-tenth of a pixel on the image plane." @default.
- W2291274429 created "2016-06-24" @default.
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- W2291274429 date "1992-01-01" @default.
- W2291274429 modified "2023-09-23" @default.
- W2291274429 title "Characterization and calibration of cameras for machine vision metrology" @default.
- W2291274429 hasPublicationYear "1992" @default.
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