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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

Active Publication Date: 2015-03-11
WUHAN UNIV
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Problems solved by technology

[0005] At present, there is no public theory for optimizing patches based on panoramic images

Method used

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  • Holographic-image-based streetscape image fragment optimization method
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  • Holographic-image-based streetscape image fragment optimization method

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Embodiment Construction

[0014] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0015] The technical solution adopted in the present invention provides a method for optimizing street view patches based on panoramic images, such as figure 1 shown, including the following steps:

[0016] Step 1, the vehicle-mounted LiDAR point cloud data and the panoramic image are registered, and the collinear equation principle is used for registration to obtain the outer orientation elements of the panoramic camera in the geodetic coordinate system. According to the position and attitude of the POS system at the moment when each photo is taken, combined with the relative positional relations...

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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.

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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Application Information

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IPC IPC(8): G06T3/00G06T7/00
CPCG06T3/14
Inventor 姚剑鲁小虎陈梦怡李礼
Owner WUHAN UNIV
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