Characteristic point optimization method for three-dimensional reconstruction of video scene
A technology of video scene and 3D reconstruction, applied in 3D modeling, image data processing, instruments, etc., can solve the problems of poor accuracy and achieve the effect of improving accuracy
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[0037] The present invention will be further described below in conjunction with the accompanying drawings.
[0038] refer to Figure 1 to Figure 3 , a feature point selection method during three-dimensional reconstruction of a video scene, comprising the following steps:
[0039] 1) Image sequence I(X, t ), where X represents the position of the i-th feature point, and the coordinates of X are ( , ), t Represents the ordinal number of the frame, and uses the KLT tracker to track the feature points. The time interval between two frames of data in the image sequence is set to be limited and small, the feature points only change in position, and the brightness remains unchanged, as follows:
[0040] (1)
[0041] in, represents the brightness of the feature point, X represents the position of the feature point, δ(X) represents the transformation function, Indicates the time interval:
[0042] δ( x ) The approximation is represented...
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