Method for detecting three-dimensional texture feature of object and system thereof

Abstract

The invention discloses a method for detecting the three-dimensional texture feature of an object and a system thereof. The method comprises the steps of: emitting, by a laser, a laser beam and recording the time of emission of the laser beam; emitting the laser beam onto the opposite surfaces of the object in order that the laser beam are reflected by the opposite surfaces of the object and formsa laser echo signal, receiving the laser echo signal, and recording the time of reception of the laser echo signal; converting the laser echo signal into an electric signal according to the receivedlaser echo signal; according to the obtained electric signal, digitally identifying the electric signal to obtain a pulse intensity corresponding to the electric signal; according to the time of emission of the laser beam, the time of reception of the laser echo signal and the pulse intensity, calculating the grayscale value of the opposite surfaces of the object and outputting the grayscale value. The method can extract the overall appearance features and the texture details of the opposite surfaces of the object, is not affected by ambient illumination factors, and has good practicability.

Description

technical field [0001] The invention relates to the technical field of detection of overall shape texture details of an object, in particular to a method and system for detecting three-dimensional texture features of an object. Background technique [0002] In recent years, with the continuous development of artificial intelligence and automatic driving technology, the accuracy and stability of three-dimensional space environment detection technology has become higher and higher. However, the data obtained by traditional detection equipment is generally three-dimensional space coordinates, and the measured object cannot be obtained. Therefore, the data detected by traditional equipment is not conducive to human observation and further processing by the computer, which in turn affects the accuracy of the data processing results of the computer server. [0003] The traditional equipment for obtaining texture feature information is generally a combination of radar and camera, b...

AI Technical Summary

Problems solved by technology

[0002] In recent years, with the continuous development of artificial intelligence and automatic driving technology, the accuracy and stability of three-dimensional space environment detection technology has become higher and higher. However, the data obtained by traditional detection equipment is generally three-dimensional space coordinates, and the measured object cannot be obtained. Due to the optical characteristics of the material, it is impossible to detect the reflectivity, surface topography and texture details of the object surface. Therefore, the data detected by traditional equipment is not conducive to human observation and further processing by the computer, which in turn affects the accuracy of the data processing results of the computer server.

[0003] The traditional equipment for obtaining texture feature information is generally a combination of radar and camera, but in this device, complex registration algorithms need to be performed between the texture feature information of the image and the three-dimensional space coordinate data to further obtain the texture feature information of the object, which affects the processing module. work efficiency, which reduces the accuracy of feature extraction data, and the camera can only work normally under the condition of light, which has certain limitations and poor practicability

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