First-phase treating algorithm for color three dimension dot clowd data

A 3D point cloud and pre-processing technology, applied in the field of reverse engineering and 3D digitization, can solve problems such as poor reconstruction effect, low processing efficiency, and color distortion

Inactive Publication Date: 2006-06-07
TIANJIN UNIV
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Problems solved by technology

The existing technology has the disadvantages of low processing eff

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  • First-phase treating algorithm for color three dimension dot clowd data
  • First-phase treating algorithm for color three dimension dot clowd data
  • First-phase treating algorithm for color three dimension dot clowd data

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Embodiment Construction

[0027] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0028] According to the two information quantities of the data modeling: the curvature angle and the chord height, the method of the present invention can conveniently eliminate the isolated or protruding noise points in the scanning data. Since the situation of noise data is very complex, the completely automatic method cannot remove all noise points and redundant information, so it is necessary to use the method of manual selection to achieve noise removal. The combination of the two methods is called the semi-automatic noise removal method. Good results are obtained in use. The curvature angle and chord height method can remove the small-area isolated and protruding points that are difficult to handle manually, and reduce the complexity of manual selection; while manual selection can delete redundant and stray points in large areas and improve proces...

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Abstract

The present invention relates to 3D digitalization and reverse engineering technology, and is especially first-phase treating algorithm for color 3D dot cloud data. For high treating efficiency, excellent re-constructed model and optimized re-construction result, the present invention has the technological scheme including adopting curvature included angle and chord height process to eliminate isolated and protuberant points in small region; memorizing the coordinate conversion relationship to control object position in 3D display platform to realize the conversion from the 3D data to current 2D coordinate; manually sorting region points, linking the points to form polygon, regularizing the attribution of judging point and eliminating great area noise points; introducing color distance definition in RGB space to judge color difference, improve lattice contracting algorithm and propose the re-sample of RGB lattice contracting algorithm on color dot cloud data. The present invention is used mainly in first-phase treatment of laser scanned color data.

Description

technical field [0001] The invention relates to the field of three-dimensional digitization and reverse engineering, belongs to a part of a three-dimensional data processing algorithm, and provides better pre-processing data for later three-dimensional reconstruction. Specifically, the present invention relates to a pre-processing algorithm for color three-dimensional point cloud data. Background technique [0002] Scanning is a high-precision three-dimensional coordinate measurement method. The line structure laser is projected onto the surface to be measured, and the camera acquires the projected image and extracts the three-dimensional shape and color data of the points on the light bar. The complete color 3D point cloud data of the surface is obtained by precisely controlling the translation and rotation of the measured object. Therefore, the obtained point cloud data is the regular data of the line array. Reconstructing point cloud data to truly reproduce colored 3D ...

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Application Information

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IPC IPC(8): G06T1/00G01B11/03
Inventor 孙长库张效栋陶立
Owner TIANJIN UNIV
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