Hybrid vision target positioning method based on panoramic vision and conventional vision

Abstract

The invention belongs to the field of machine vision, and particularly relates to a hybrid vision target positioning method based on panoramic vision and conventional vision. The method comprises the following steps: (1) calibrating a hybrid vision system; (2) identifying a target by a panorama camera, calculating the azimuth angle of a target in a panoramic image, causing a perspective camera to rotate at a corresponding angle, and shooting the target identified by the perspective camera; (3) adopting a SIFT (Scale Invariant Feature Transform) image feature point matching algorithm to match feature points in the common field of view of the hybrid vision system; and (4) calculating the three-dimensional information of the identified target, and positioning the target. By use of the method, the hybrid vision system is used, the advantage of the high resolution of the perspective camera is applied on a premise of guaranteeing the advantage of large visual field video monitoring of a panoramic vision system to position the target, positioning accuracy is improved, and therefore, a stereo visual target detection system with low power consumption and high performance is realized.

Description

technical field [0001] The invention belongs to the field of machine vision, and in particular relates to a mixed vision target positioning method based on panorama and conventional vision. Background technique [0002] Due to its characteristics of non-contact perception, rich information acquisition, and strong anti-interference ability, vision technology has a wide range of applications in the fields of environmental understanding, target detection, visual navigation, and security monitoring. The hybrid vision system is a heterogeneous hybrid stereo vision system composed of a panoramic vision system and a conventional vision system. It uses the characteristics of panoramic vision imaging with a wide viewing angle and spherical space orientation. It first discovers environmental targets, and then controls the conventional vision system. For precise observation of the target of interest, this hybrid system takes into account the dual factors of visual field of view and vis...

AI Technical Summary

Problems solved by technology

The hybrid vision system is a heterogeneous hybrid stereo vision system composed of a panoramic vision system and a conventional vision system. It uses the characteristics of panoramic vision imaging with a wide viewing angle and spherical space orientation. It first discovers environmental targets, and then controls the conventional vision system. For precise observation of the target of interest, this hybrid system takes into account the dual factors of visual field of view and visual distance, and is gradually becoming an effective means to realize long-distance environmental perception with a large field of view. At present, there is no heterogeneous dual-scale hybrid vision based on this The system realizes the precise positioning of the identified targets in the field of view and the research related reports on three-dimensional space reconstruction

Images