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Monocular visual depth measurement technology has an excellent application prospect in the field of reconnaissance and detection in miniature unmanned systems. In this paper, a monocular depth perception method based on zoom image is studied. At first, the basic principle of monocular image depth perception is analyzed according to the geometric optics theory. On this basis, a depth measurement method that combines chain-code method to calculate target area is constructed: two different focal lengths are used to image the object and two independent sets of functions are listed according to the correspondence between the object distance and the focal length. The image area is used to replace the image point vector, and finally the depth of the object is solved. Then, the design and program compilation of monocular zoom measurement algorithm are realized and the measurement accuracy of the algorithm is preliminarily verified by experiments. Finally, three sets of test experiments are designed with the target distance, focal length ratio and target size as parametric variables. The experimental results show that the measurement accuracy of this algorithm appears a downward trend with the decrease of the target size and the increase of the distance, while the monocular zoom measurement can obtain higher accuracy under the condition of large focal length ratio. The research results can provide technical and theoretical basis for the realization of high-performance monocular depth measurement.
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