Research On Integrated Imaging Pickup Technology Based On Depth Camera

Integrated imaging technology has the advantages of full parallax viewing,full true color of the image,and naked eye viewing without any auxiliary equipment.It has become one of the three-dimensional display technologies that has attracted the attention of many researchers at home and abroad.At present,integrated imaging technology has problems such as complicated operation of the acquisition end of the system,limited viewing field,and low image resolution.Therefore,in this thesis,the depth camera is used to simplify the picking process of integrated imaging.At the same time,two methods are proposed to solve the problems of image quality and limited field of view acquired during the picking process.This thesis first proposes a depth map repair algorithm with pixel filling and improved joint bilateral filtering.For the depth camera due to its own equipment factors or shooting environment factors,the background noise collected in the depth image and the phenomenon of background holes in the front and back of the object edge,first use the background fill method or neighborhood value for large edge hole areas according to the situation The filling method is used to complete the preliminary repair,and the improved bilateral bilateral filtering algorithm combined with the similarity factor of the depth value of the depth image is used to optimize the second repair of the preliminary repaired depth map.After the depth image is repaired and optimized,the outline of the 3D object is clear and the edges are smooth.Combined with the picked up color image,a high-quality element image array can be subsequently generated and applied to the integrated imaging display system.A method for applying image stitching technology to the field of integrated imaging is also proposed.In view of the limited depth of field of view of the depth camera and the obscuration between the front and back of the object due to the shooting angle problem,the viewing field range is widened by color image stitching.The stitched color image is 10.24?larger than the original image viewing field.The integrity of the contour of the depth image is enhanced by the stitching of the depth image.The element image array rich in detailed information of three-dimensional objects generated by the pixel mapping method is then applied to the integrated imaging display system.In this thesis,the D435 i depth camera is used to collect the depth and color information of the three-dimensional scene objects,and the generated element image array is displayed using optical reconstruction.Through experimental verification,the pixel filling and improved joint bilateral filtering algorithm proposed in this paper is feasible for depth map repair optimization,and the depth image has been repaired significantly.After the optical reconstruction,the image information of the large field of view element array is more detailed,and the occlusion phenomenon disappears.The use of a depth camera simplifies the process of picking up the integrated imaging acquisition end,and obtains a high-quality element image array for the subsequent integrated imaging display stage.