Holographic-image-based streetscape image fragment optimization method

A technology of panoramic image and optimization method, applied in image analysis, graphic image conversion, image data processing, etc. Effect
CN104408689AActive Publication Date: 2015-03-11WUHAN UNIV
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Patent Information

Authority / Receiving Office
CN ยท China
Current Assignee / Owner
WUHAN UNIV
Publication Date
2015-03-11

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Abstract

The invention discloses a holographic-image-based streetscape image fragment optimization method, which comprises the following steps: 1, acquiring vehicle-mounted LiDAR (light detection and ranging) point cloud data and a holographic image, and registering the holographic image and the vehicle-mounted LiDAR point cloud data; 2, dividing the vehicle-mounted LiDAR point cloud data into a plurality of image fragments, obtaining a corresponding relationship between the image fragments and sites of the holographic image, and projecting the image fragments onto the holographic image to obtain a perspective plane image corresponding to the image fragments; 3, analyzing the perspective plane image, deleting tree points, and performing image fragment stretching. According to the method, the streetscape image fragments are optimized on the basis of the holographic image, and the precision and accuracy of the image fragments in point cloud data results are further improved.
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Description

technical field

[0001] The invention relates to the technical field of panoramic image processing, in particular to a method for optimizing street view patches based on panoramic images. Background technique

[0002] With the development of 3D scanning technology, although many terrestrial laser scanners can simultaneously acquire the texture of scanning points through built-in cameras, their resolution, photography method, and accuracy cannot meet the needs of applications. Panoramic imaging technology is an ultra-wide-angle field of view expression method, which contains more intuitive and complete scene information than image sequences. Due to the limitation of the scanning angle of the vehicle-mounted LiDAR scanning system, the higher building street view patches extracted based on the vehicle-mounted LiDAR point cloud data are inaccurate, and the patches need to be stretched. Optimizing street view patches using panoramic images involves several key technologies: regis...

Claims

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