3D imaging technology has wide applications in fields such as autonomous driving and engineering surveying. Among them, TOF (Time of Flight) 3D and binocular vision 3D imaging technology are the two most commonly used methods. This study investigated the influence of distance and light intensity on the ranging accuracy of TOF and binocular vision imaging methods theoretically and experimentally. An adaptive weighting-based high-precision range image generation method for the entire range was proposed. The basic idea was to assign different weights to the TOF range image and binocular vision range image at different distance intervals and use the prior weight fitting results at different light intensities and distances to guide the weighted processing of each point of the range image. And then high-precision range imaging results with higher ranging accuracy than the original TOF image and binocular vision imaging were obtained. The PSNR value increased by an average of 7.15% compared to binocular vision and increased 1.17% compared to TOF. Distance error MSE value decreased by an average of 34.76% compared to binocular vision and decreased 7.87% compared to TOF. Experimental results demonstrated the effectiveness of the proposed method, which provided a useful idea and means for further improving the ranging accuracy of existing range imaging methods.
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