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Public mark point automatic matching method based on dynamic layering

A mark point and dynamic technology, applied in the field of computer vision, can solve the problems of large calculation, difficult calculation speed and splicing accuracy to meet the needs of industrial production, to solve the problem of speed and accuracy, low matching error rate, and reduce matching error rate Effect

Active Publication Date: 2014-12-17
CHANGCHUN UNIV OF SCI & TECH
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Problems solved by technology

However, this method needs to calculate the distance of a large number of useless marker points, and at the same time, it will generate many wrong point pairs. Its calculation speed and splicing accuracy are also difficult to meet the actual industrial production needs.

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  • Public mark point automatic matching method based on dynamic layering
  • Public mark point automatic matching method based on dynamic layering

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Embodiment Construction

[0020] Below in conjunction with accompanying drawing, the present invention will be further described: as figure 1 As shown, the automatic matching method of public landmarks based on dynamic layering is characterized in that: the three-dimensional scanner 1 is connected to the computer 2 through a cable, and the outer surface of the object 3 to be measured is marked with landmarks. The specific method is as follows accomplish:

[0021] Step 1. Let the set of marker points of the object 3 to be measured obtained by the 3D scanner 1 and the computer 2 at the viewpoint 1 be P; under the condition that the parameters of the 3D scanner 1 remain unchanged, the 3D scanner 1 at the viewpoint The set of marker points of the object 3 to be measured obtained at 2 is denoted by Q, the number of common marker points in P and Q is N, N≥3, and n is set to 3.

[0022] Step 2. Search for n marker points with the smallest X-axis coordinate value in P. The set P_Min_x is composed of n marker ...

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Abstract

The invention relates to a public mark point automatic matching method based on dynamic layering. The method is characterized in that the concrete method is realized according to the following steps that: a mark point set, obtained by a three-dimensional scanner and a computer in the position of a view point, of objects to be measured is set to be P; n mark points with the least X-axis coordinate values in the P are searched; n mark points with the least X-axis coordinate values are searched in Q; four dynamic distance matrixes of the Q are built; whether element values in the four dynamic distance matrixes of the P are identical to the element values in the four dynamic distance matrixes of the Q or not is judged; all mark points in E form a set E'; all mark points in F form a set F'; and if the Euclidean distances from a mark point A to all mark points in the E' and the Euclidean distances from a mark point B to all of the mark points in F' are identical, the mark point A is added into the E', the mark point B is added into the F', and the operation turns to the step 8. The public mark point automatic matching method has the advantages that the matching error rate is effectively reduced; and the speed problem and the precision problem of conventional mark points are also solved.

Description

technical field [0001] The invention relates to an automatic matching method of public marker points based on dynamic layering, which belongs to the technical field of computer vision. Background technique [0002] Three-dimensional reconstruction is a technology that simulates, recognizes, and analyzes objects by computer to create a corresponding model to create a virtual scene. It models by measuring the three-dimensional information of each position of the object. Due to the size and three-dimensional structure of the object, the projector cannot obtain the complete three-dimensional information of the object at one time, and it is necessary to build an overall model through point cloud stitching after multiple measurements. Point cloud splicing is to unify the point cloud information of different parts into one coordinate system through coordinate transformation. The key lies in the quick matching of feature points or marker points. [0003] The current point cloud sti...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T15/00
Inventor 韩成张超权巍蒋振刚薛耀红杨华民冯欣范静涛丁莹赵义武杨帆白宝兴
Owner CHANGCHUN UNIV OF SCI & TECH
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