Attitude measurement method based on phase guidance binocular vision dense mark point matching
A technology of binocular vision and measurement method, applied in image analysis, instrumentation, calculation, etc., can solve the problem of epipolar matching error points, ambiguity matching of epipolar search matching points, etc., so as to improve the accuracy of pose measurement and reduce the amount of calculation. , the effect of improving the accuracy of coordinate extraction
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Embodiment 1
[0049] Since the prior art search matching point on the polar line will appear ambiguous match, such as figure 1 As shown, the P point and N point are located on the same pole plane, the corresponding polar line of the two points, the left image point M on the corresponding pole line L 'of the right image, M' and N ', (additional due to image distortion, perspective Projection and image noise also cause more polar matching error points), this embodiment provides a posture measurement method that matches phase-guided binocular visual intensive marker points, such as figure 2 As shown, specifically includes the following steps:
[0050] S101, first calibration and calibration of binocular camera system parameters, the method is as follows:
[0051] The two-dimensional planar target algorithm proposed by Zhang Zhengyou is calculated to calculate the relative positional relationship between the internal parameters of the camera and the left and right cameras in the two-dimensional vis...
Embodiment 2
[0076] Since the prior art is most likely to match the characteristic point of the rule, it is easier to match the polarity, and therefore, in the present embodiment, the marker point is pasted as a comparative row, and then the method described in Example 1 is used. Example 1 The left and right camera markings captured by the calibrated two-purpose camera system Image 6 Indicated.
[0077] S201, the left-right image of the shot is separately elliptical, including binarization, regional selection, edge detection, elliptical center positioning, etc., 660 markings of the captured image are successfully extracted, where the mark of the left image Point extraction results Figure 7 Indicated.
[0078] S202, randomly select 20 in the markup point of the left image, looking for the same name point in the right image, performing the same name match by the polar line search, inevitably cause match failure. like Figure 8 As shown, 20 markup points of the left image are selected for example,...
Embodiment 3
[0083] At least one processor, and a memory connected to at least one processor, including a memory connected to at least one processor, and a memory that can be communicated with at least one processor, the memory stores at least one processor. A processor is executed such that at least one processor can perform the method described in any of the above.
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