Method for acquiring binocular image maximum parallax based on optical flow method

Abstract

The invention relates to a method for acquiring the binocular image maximum parallax based on an optical flow method, which is characterized in that a series of processing is carried out on images acquired by left and right cameras so as to acquire a motion vector of each point on the images, analysis and judgment are carried out the motion vectors to acquire the maximum parallax finally so as to be convenient for carrying out further processing. The optical flow method is insensitive to influences such as weak textures, repeated textures, noise interferences and the like, so that improvement is carried out on a gradient operator and a window weighing function of data items in an optical flow algorithm. A characteristic of uniqueness of the maximum parallax is considered, and an optical flow is calculated for two times with one time being simple and the other time being complicated, thereby effectively reducing the calculation amount, and accelerating the calculation speed. On the basis of a CLG-TV pyramid optical flow method, a global diffusion coefficient is introduced to a smooth item of the optical flow algorithm, and improvement is carried out on the gradient operator and the window weighing function of the data items in the optical flow algorithm, thereby enabling the method to be more applicable to calculation in the circumstance that a binocular image only has horizontal displacement. As for the pyramid calculation method, the optical flow is calculated for two times with one time being simple and the other time being complicated, thereby effectively reducing the calculation amount, and accelerating the calculation speed.

Description

technical field [0001] The invention relates to a method for obtaining the maximum parallax of a binocular image based on an optical flow method, and belongs to the field of computer vision. Background technique [0002] Vision is an important way for humans to understand and perceive the world. The human visual system perceives the real world through binocular imaging, and has the ability to perceive three-dimensional information from two-dimensional scene images. The stereo vision system similarly uses the binocular camera to simulate the human eyes to obtain external information, and uses the left and right images to obtain the disparity map. The disparity map can be used in 3D reconstruction, object recognition and tracking, 3D video coding and other fields, which is very valuable for research. In some cases, we are more concerned with the maximum value of the disparity, the maximum disparity. [0003] The existing methods for determining the maximum parallax of binocul...

AI Technical Summary

Problems solved by technology

In fact, due to the influence of illumination changes, discontinuous depth, weak textures, repeated textures, and noise interference, the imaging of the same scene under the left and right viewpoints will be very different, which will cause difficulties in obtaining accurate parallax values. Robust The accuracy needs to be improved, and the calculation of stereo matching is relatively large, which makes the real-time performance of the maximum disparity value acquisition need to be improved

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