Introduction To Machine Vision Binocular Measurement System

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The machine vision binocular measurement system can automatically identify and locate the target within the field of view, and realize the on-site calibration of the system in a complex background environment, which is convenient and quick to operate. The system platform is mainly used in three-dimensional measurement fields such as the three-dimensional position, attitude and distance of space objects.

The machine vision binocular measurement system platform provides a dynamic library of camera calibration, dual target positioning, stereo matching, binocular measurement and other modules necessary for binocular 3D measurement of space objects, rather than a complete binocular measurement system. Binocular measurement cannot be performed directly. On this basis, the system developer needs to add the detection algorithm of target feature points to the specific measurement target to form a complete binocular measurement system to realize the measurement of specific targets.

Composition of binocular measurement platform
Due to the application of different scenarios, the measurement targets of each binocular measurement system are different, and the detection and recognition algorithms for different targets are also different, and it is impossible to make a system that is suitable for each target. The modules of dual target positioning, stereo matching, and binocular measurement in the measurement system are basically the same.

If a binocular measurement system is likened to a ruler to measure an object, the two end points of the object must be artificially given to measure the length of the object, and the ruler will not find these two end points by itself. The binocular measurement platform is equivalent to this ruler. It must detect the characteristic points of a specific target and tell it which point to measure before it can be measured.

The main algorithm functions of the binocular measurement platform include the following aspects:

  1.  The automatic detection, recognition and positioning of the target can realize the automatic detection and recognition of the target and the positioning of each feature point in a more complicated external environment, without manual manual determination of the feature points, realizing the on-site calibration of the system and improving work efficiency .
  2. Single target calibration It can realize the calibration of parameters such as lens distortion coefficient in the monocular camera.
  3. Dual target calibration The internal parameters of the two cameras of the binocular measurement system, the lens distortion coefficient and the positional relationship of the two cameras are calibrated at the same time.
  4. Epipolar constraint provides functions such as the basic matrix of the computing system, the epipolar, and the matching of corresponding feature points in the left and right images.
  5. High-precision binocular measurement provides high-precision binocular three-dimensional measurement algorithm.

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