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This invention discloses a method for encoding structured light patterns, a structured light projection module, and a three-dimensional measurement system, belonging to the field of optical measurement. Addressing the problem of fixed and inaccurate structured light encoding units in existing methods, this invention provides a method for encoding structured light patterns. The method divides the structured light pattern into multiple types of grid units, forming a grid encoding group with a predetermined number of consecutively arranged grid units. The grid encoding group is encoded based on the type of each grid unit, ensuring that each grid encoding group has a unique and non-repeating code. The code of the grid encoding group maps to its spatial position within the structured light pattern. Decoding includes acquiring the structured light pattern, determining the type of each grid unit, and matching the grid encoding group with the encoding set to obtain its position. This invention achieves flexible, high-density, and highly occlusion-resistant absolute position encoding by uniquely and non-repeating grid encoding groups composed of multiple consecutive grid units, making it suitable for high-precision three-dimensional measurement.

This invention discloses a highly accurate Chinese spelling checking method, system, and medium. The method includes the following steps: acquiring a corpus to be used, configuring a replacement table to be used, and generating near-phonetic error samples and near-shape error samples to be used based on the corpus; training a decision model to be used based on the corpus, and training a checking model to be used based on the near-phonetic and near-shape error samples; and performing text checking and error correction operations on the acquired text to be checked based on the replacement table, the trained decision model, and the checking model. This invention can efficiently generate high-quality and highly realistic training samples, and can detect errors in Chinese text by independently setting the trained error detection model and post-processing decision model, and perform high-quality error correction judgment after error detection, further reducing the model's error correction rate and improving the correction quality, thus opening up a new method for Chinese spelling error detection.