Semi-pseudo-random coding pattern and generation method and system therefor

Abstract

The invention relates to a semi-pseudo-random coding pattern and a generation method and system therefor. The pattern comprises fixed color blocks and random color blocks. The fixed color blocks and the random color blocks are arranged at intervals in rows and columns, thereby forming a random array with an M*N pixels. The fixed color blocks comprise a plurality of color blocks with the fixed color. The pattern is characterized in that 1, the pattern has the unique features in a window in a specified size, and can greatly reduce the possibility of wrong matching; 2, the pattern has the cornerpoint distribution uniformity, thereby preventing the generation of the random color blocks at any position from causing a large white region or a large black region. Therefore, the corner points generated by the intersection of the black blocks and the white blocks in the whole coding pattern are more uniform, and are combined with the gray scale matching. The number of matched image pairs is relatively stable, thereby facilitating the success rate and efficiency of stereo matching.

Description

technical field [0001] The invention relates to the field of pseudo-random coding, in particular to a semi-pseudo-random coding pattern and its generation method and system. Background technique [0002] The pseudo-random sequence is generated by the shift register specified by the primitive polynomial, and the pseudo-random sequence with randomness forms a pseudo-random array through a pre-configured method. In addition to being widely used in the field of communication control, the principle technology of pseudo-random coding is also used in coding projection systems to solve the difficult problem of traditional visual theory matching. [0003] In the process of 3D modeling, it is difficult to reconstruct some scenes that lack texture characteristics and few surface features, and the pseudo-random coding pattern is transmitted to the surface of the reconstructed object through the projector, adding additional additional features to these lacking or rare texture objects , ...

AI Technical Summary

Problems solved by technology

Using the generated pseudo-random coding pattern as the object of image matching can make up for the defect that the texture of the reconstructed object itself is not rich, but the existing black-and-white pseudo-random coding patterns are generally based on full pseudo-random sequences, and the generated patterns will be There are large black or white areas, and the lack of corner information in such areas is not conducive to image matching

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