Panorama video automatic stitching method based on SURF feature tracking matching

Abstract

The invention discloses a panorama video automatic stitching method based on SURF feature tracking matching. The method comprises the following steps: a first frame distinguishing type processing method, the first frame serving to select a video reference coordinate system, directly performing video fusion on successive frames; in accordance with the first frame of a video to be stitched, extracting SURF feature points, generating feature point description vectors; based on the Hash mapping and a barrel storage method, searching for similar SURF feature vector point symmetries, constituting a similar feature set; using the vector point symmetries in the similar SURF feature set, resolving an optimal data relational degree coordinate system; conducting dynamic weighted summation on coordinate-converted pixel values of the video frames to be stitched, implementing seamless stitching fusion of the video. According to the invention, the method can implements omnibearing, multi-visual angle, and stereoscopic video seamless stitching fusion, and not only overcomes traces, fuzziness and double image brought by image translation, rotation, zooming and radiation transformation, and also increases efficiency and accuracy in conducting image calibration based on feature matching.

Description

technical field [0001] The invention relates to the technical field of computer graphics and imaging, in particular to a panoramic video automatic splicing method based on SURF feature tracking and matching. Background technique [0002] Video images are the main way for humans to obtain visual information. The video surveillance information systems built in important places, rail transit, key areas, sensitive areas and other areas of the country play an important role in political activities, daily police work, and social public security management. played an irreplaceable role. As one of the key points of image research in recent years, video stitching has been proposed by researchers at home and abroad. According to different video image matching methods, video stitching technology can generally be divided into the following two types: [0003] 1. Video stitching technology based on region correlation [0004] The video mosaic technology based on region correlation sta...

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Problems solved by technology

[0011] In view of this, aiming at the problems of low feature matching efficiency and poor splicing effect in video splicing, the present invention discloses a panoramic video automatic splicing method based on SURF feature tracking and matching. SURF feature matching based on bucket mapping, video coordinate transformation based on projection model, and video frame fusion based on dynamic weighting can overcome the problem of blurring and ghosting caused by video image translation, rotation and other factors, and effectively improve the processing speed and speed of video feature matching. Accuracy, to achieve seamless splicing and fusion of videos

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