A 3D visualization method and system based on point cloud and image data

A technology of image data and point cloud data, applied in image data processing, 3D image processing, image analysis, etc., can solve problems such as limited accessibility, affecting the expansion of laser point cloud technology, and poor point cloud realism. Achieving the effect of improving accessibility and usability, improving point cloud resolution and pixel utilization
CN107194983BActive Publication Date: 2018-03-09HUAZHONG UNIV OF SCI & TECH

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
HUAZHONG UNIV OF SCI & TECH
Publication Date
2018-03-09

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Abstract

The invention discloses a three-dimensional visualization method based on point cloud and image data and a system thereof. The method comprises the following steps of collecting image data and point cloud data of a target scene; carrying out upsampling on the point cloud data, projecting the point cloud data after the upsampling to the image data so as to carry out fusion, coloring the fused point cloud data and acquiring the colorful point cloud data; and using the colorful point cloud data to carry out three-dimensional rendering and acquiring a three-dimensional visualization model of the target scene. In the invention, point-cloud three-dimensional visualization from data acquisition and fusion to final rendering display is realized, which is good for development of a laser point cloud technology; and accessibility and usability of the point cloud data to a common user are increased.
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Description

Technical field

[0001] The invention belongs to the field of point cloud three-dimensional visualization, and more specifically, relates to a three-dimensional visualization method and system based on point cloud and image data. Background technique

[0002] Currently, many types of 3D laser scanners can only collect the 3D coordinate point cloud data of the target scene due to their own hardware and working methods. These point cloud data do not contain the true color and texture information of the target scene, so they can only Color or false color display. The maturity and success of high-resolution camera photogrammetry technology has made up for the inherent shortcomings of 3D laser scanners. The image data of the target scene collected by the camera contains rich color and texture information and high pixel density, which coincides with the 3D laser point cloud data. Formed complementary advantages.

[0003] However, there has not yet been a complete set of point cloud 3D v...

Claims

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