A 3D model reconstruction system and method based on Euclidean distance statistical splicing
A technology of 3D model and Euclidean distance, which is applied in computing, 3D modeling, instruments, etc., can solve problems such as high computational complexity and failure to consider marker points, and achieve the effect of improving accuracy and achieving integrity
Active Publication Date: 2018-11-02
ZG TECH CO LTD
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This method does not consider all the marker points in the whole world, has certain defects, and the calculation complexity is high
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[0033] The principles and features of the present invention will be described below with reference to the accompanying drawings. The examples cited are only used to explain the present invention, not to limit the scope of the present invention.
[0034] The operator pastes a circular mark on the surface of the object to be built to take pictures. Each shooting angle needs to be taken by two cameras with fixed relative positions, such as figure 2 The relative positions of the left and right cameras shown in the figure are fixed to obtain the stereo image pair under this angle of view. For the stereo image pair under each angle of view, local coordinates are established, and the three-dimensional points on the surface of the object in the local coordinate system are obtained according to the front intersection in photogrammetry. The coordinate set and the three-dimensional point coordinate set of the landmark point, that is, the three-dimensional coordinate of the surface point of t...
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The invention discloses a three-dimensional model reconstruction system and a three-dimensional model reconstruction method based on Euclidean distance statistics and splicing. The three-dimensional model reconstruction method comprises the steps of processing stereo image pairs which are photographed at different angles by a three-dimensional model generating unit, converting the stereo image pairs to a coordinate set of object surface points in different coordinate systems and recording; comparing the distance of each mark point in different coordinate systems for determining correspondence of one same mark point in different coordinate systems, using the same mark point which is determined as existing in different coordinate systems as a homonymous point; performing calculation through the correspondence of the homonymous point in different coordinate systems for backwards deriving a conversion parameter between different coordinate systems, and finally realizing reconstruction of the whole object surface three-dimensional model through successively splicing the coordinate systems at adjacent angles. According to the three-dimensional model reconstruction system and the three-dimensional model reconstruction method, mathematical effective statistics are performed for determining whether the mark point in each coordinate system forms a homonymous point, and homonymous point accuracy is improved, thereby realizing reconstruction integrity of the three-dimensional model.
Description
Technical field [0001] The present invention relates to computer vision processing, in particular to a system and method for 3D model reconstruction based on Euclidean distance statistical splicing. Background technique [0002] In the field of computer vision, two or more cameras shoot the same scene at different positions to obtain a pair of images called a stereo pair. Look for points with the same name in the stereo pair images, and use the front intersection to get the space corresponding to the pair. The three-dimensional coordinates of the point. A point with the same name is a pixel point where the same point in space is projected on two images. Dense matching of all pixels in the stereo image pair can obtain the point cloud data of the object surface in the scene. Point cloud data is used as the basis for establishing a three-dimensional surface model of close-up objects. During the acquisition process, it is difficult to obtain a complete surface model of an object at...
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IPC IPC(8): G06T17/00
CPCG06T17/00
Inventor 郑顺义王晓南王佳婧
Owner ZG TECH CO LTD