Depth data detection system

Abstract

The invention discloses a depth data detection system, which comprises an infrared coding projection system that has a plurality of work modes, wherein the infrared coding projection system can project an infrared light beam with texture to a detected space from different project angles and / or from different positions in each work mode; two infrared light image sensors between which a predetermined relative space position relation is formed, wherein the two infrared light image sensors conduct imaging on the detected space in each work mode; a processor that is used to obtain the two infrared texture images by using the two infrared light image sensors in different work modes, wherein the processor can determine the depth data of the infrared texture on an object to be detected in different work modes relative to the two infrared light image sensors, then fuse the depth data determined in the plurality of work modes, and then take the fused depth data as the final depth data of the object to be detected. Therefore, the final depth data can reflect the depth information of the object to be detected more comprehensively.

Description

technical field [0001] The invention relates to the technical field of three-dimensional detection, in particular to a depth data detection system. Background technique [0002] Three-dimensional information can also be called depth information or depth of field information, and its importance in modern image information acquisition technology is becoming increasingly apparent, especially in applications such as surveillance security, somatosensory operation, and mechanical automation. [0003] Existing depth detection equipment generally uses auxiliary discrete light sources for illumination, such as structured light, etc., and calculates the depth information of the surface of the measured object by detecting the phase shift of the structured light. Project a two-dimensional laser texture pattern with coded information, such as a discretized speckle pattern, and another image acquisition device with a relatively fixed position continuously collects the laser texture, and t...

AI Technical Summary

Problems solved by technology

[0004] However, this depth detection method can only detect the depth data at the position where there is a texture fragment on the object to be detected, and cannot accurately obtain the depth data at the position where the texture fragment is not projected on the object to be detected.

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