Polar Plane Image Analysis Based On Structural Lighting Features

With the continuous development of image vision technology,the traditional camera has a single information acquisition method and does not have the ability to automatically adjust the depth of field.It is difficult to meet people's diverse needs for information acquisition,and the development of light field cameras has met this to a certain extent demand.The imaging technology based on the traditional camera only records the spatial position information of the optical signal,to that the lens focus needs to be adjusted before shooting.In order to obtain an accurate focusing surface,while the Lytro light field camera as a new type of camera,The position information and direction information of the light signal in the space can be obtained through one shot at the same time,and the acquisition of multi-dimensional information provide data support for the characteristics of the light field camera to focus after shooting and improve the shooting efficiency of consumers.Since the integral imaging method of the traditional camera has insufficient representation of multi-dimensional information in the light field,this paper hopes to alleviate these problems through the micro-lens array-based light field imaging method.This paper focuses on the key technologies in 3D reconstruction based on light field cameras,and uses the light field 4D information to estimate the depth of the object to be measured,thereby restoring the 3D coordinates.Binocular stereo vision technology has always been one of the most widely used methods in three-dimensional measurement research.It has the advantages of non-contact,non-damaging objects and instrument surfaces,simple experimental operation,etc.However,the calculation and matching of this method are time-consuming,so This article combines digital stripe structured light with binocular stereo vision technology to improve the efficiency of the experiment.Due to the current manufacturing process and assembly level of the light field camera,problems such as tilting of the microlens array or not in the focal plane of the main lens may affect the quality of image information.Therefore,in this paper,the center of the microlens array lens and the left and right light are calibrated.The calibration of the field camera makes the mapping of light field image pixels to three-dimensional coordinates more accurate,thereby improving the effectiveness and robustness of the algorithm.Although the traditional binocular stereo vision method for measuring 3D data is simple to operate,the accuracy of the 3D measurement results and the efficiency of the algorithm are largely affected by the matching accuracy and matching efficiency.The matching based on the similarity of theimage points in the left and right images is A method with limited accuracy and low efficiency,this paper combines the characteristics of structured light and uses absolute phase difference to guide the matching of left and right images.In order to improve the accuracy of the three-dimensional measurement results,this paper combines the characteristics of the light field camera to digitally refocus the original light field image,and uses the frequency domain refocusing algorithm to obtain the depth information of the object to be measured on different focusing surfaces and extract effective information.To improve the anti-noise performance of the algorithm.This paper systematically elaborated the binocular stereo vision technology based on fringe projection,and verified the feasibility of the method through experiments.