A semi-pseudo-random coding pattern and its generation method and system

Abstract

The present invention relates to a semi-pseudo-random coding pattern and its generation method and system, wherein the semi-pseudo-random coding pattern includes fixed color blocks and random color blocks, and the fixed color blocks and random color blocks are arranged at intervals in rows and columns, A random array of M×N pixels is formed, and the fixed color blocks include various color blocks with fixed colors. A kind of semi-pseudo-random coding pattern of the present invention has the following characteristics, 1, the uniqueness of the feature in the window of specific size, can greatly reduce the possibility of mismatching; The generation of random color blocks results in large areas being white or black. Therefore, the corner points generated by the intersection of black blocks and white blocks in the entire coding pattern are relatively uniform. Combining it with grayscale matching, the number of matched image pairs is relatively It is stable and helps to improve 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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