Abstract
During object point character matching based on binocular stereoscopic vision, the measured object needs to be observed in different directions, from left and right. The article studied the structure configuration of image acquisition system and its optical path. For the object point with absolutely visible details, through extracting its feature matching point from the left and right images, its depth coordinate was obtained by calculation after matching. Finally the example of feature matching achieved with VC++ was given.
Highlights
The structure configuration of image acquisition system and its optical pathThe object points visible in the left and right image, making use of corresponding matching points, can transform the coordinates of the matching points in the image coordinate system to the object coordinate system
During object point character matching based on binocular stereoscopic vision, the measured object needs to be observed in different directions, from left and right
The optical principle of optical path in image acquisition system in figure 1 is shown in figure 2.To take a random point P in the object plane, the left camera focus OL, the right camera focus OR and the point P are called “recognition plane”
Summary
The object points visible in the left and right image, making use of corresponding matching points, can transform the coordinates of the matching points in the image coordinate system to the object coordinate system. In order to calculate the 3D coordinates of matching points, the matched object points need to be found in the left and right projective images firstly. The optical principle of optical path in image acquisition system in figure 1 is shown in figure 2.To take a random point P in the object plane, the left camera focus OL, the right camera focus OR and the point P are called “recognition plane”. To rotate recognition plane around baseline, by calculating each corresponding section’s optical path, the depth information of total surface of measured object is obtained.
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