Self-adaptive panoramic stitching method based on snapshot pictures of dome camera

Abstract

The invention discloses a self-adaptive panoramic stitching method based on pictures captured by a dome camera. The method comprises the following steps: S10, controlling the dome camera to capture aplurality of images of which the front parts and the rear parts are partially overlapped in a 360-degree range at preset rotation time and rotation angular speed; s20, preprocessing the image and calibrating a feature point selection region; s30, feature points are extracted from the calibrated feature point selection area, and feature point matching is carried out; s40, performing mapping correction and transition reduction on the spliced image; and S50, panoramic image splicing is carried out. According to the self-adaptive panoramic stitching method based on the dome camera snapshot pictures, the images snapshot by the dome camera can be spliced in a self-adaptive manner; by calibrating the feature point selection area, the feature point detection area is reduced to the image overlapping area from the whole image, the matching quality of the feature points is optimized while the detection efficiency is improved, the splicing efficiency and the splicing quality are greatly improved,and 360-degree dead-corner-free monitoring of a scene is realized.

Description

technical field [0001] The invention relates to the technical field of panorama stitching, in particular to an adaptive panorama stitching method based on snapping pictures by a dome camera. Background technique [0002] Panoramic stitching is to use multiple cameras to shoot the same scene at different angles, correct, denoise, match, and fuse the obtained multiple images, and finally construct a high-quality, clear, smooth-edge, and high-resolution image. [0003] In actual scientific research and engineering, when encountering scenes that exceed the perspective of the human eye, these huge things cannot be photographed with a camera at close range. Although a wide range of images can be obtained by increasing the shooting distance, the captured Objects may be relatively small, and the zoomed-in image will appear mosaic and the effect will be poor. Using modern hardware facilities may solve this problem. However, hardware devices such as wide-angle lenses are expensive, ...

AI Technical Summary

Problems solved by technology

[0008] To sum up, the problems existing in the existing technology are: the processing speed of the existing algorithm is slow, and the calculation is time-consuming; for scenes with few feature points or low overlapping areas, the existing algorithm based on feature point extraction and matching is not rude. Great

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