Precision measurement method based on optimized combination of pixel-binning cameras

Abstract

Traditional binocular stereo vision measurement system based on high resolution area array camera has many defects, such as limited acquisition speed, insufficient sensitivity under high frame rate and overlarge data volume. To overcome these defects, this paper proposes a precision vision measurement method which is based on the optimized combination of pixelbinning cameras. This method transforms the traditional area array camera into an equivalent narrow area array (ENAA) camera through single-dimensional binning. Then, multiple ENAA cameras are used to achieve precise 3D measurement of target points through reasonable combination. However, single-dimensional binning will reduce the image resolution in one direction, while the image resolution in another direction (maximum image resolution) remains unchanged. Therefore, this paper studies the typical spatial layouts of two even three ENAA cameras and analysis their measurement errors. Finally, an optimal spatial layout of three ENAA cameras was obtained, and it can reach the same level of measurement accuracy as the binocular stereo vision measurement system based on area array camera. Comparative experiments verify the effectiveness and measurement accuracy of the above method, which can reduce the data amount to 3/8 and increase the acquisition rate by 4 times while ensuring the measurement accuracy.