Abstract

An integral imaging system using a polygon model for a real object is proposed. After depth and color data of the real object are acquired by a depth camera, the grid of the polygon model is converted from the initially reconstructed point cloud model. The elemental image array is generated from the polygon model and directly reconstructed. The polygon model eliminates the failed picking area between the points of a point cloud model, so at least the quality of the reconstructed 3-D image is significantly improved. The theory is verified experimentally, and higher-quality images are obtained.

Highlights

  • Integral imaging is an autostereoscopic three-dimensional (3-D) display method that presents natural full-parallax and continuous-viewing 3-D images via common incoherent illumination

  • A two-dimensional elemental image array (EIA) is recorded from the object through the lens array, and the 3-D image is reconstructed from the recorded EIA.[1,2,3]

  • The computer-generated integral imaging (CGII) technique eliminates the optical problems of integral imaging and generates high-quality EIAs through the virtual lens array in the computer graphics, and real-time computation is possible.[4,5,6,7]

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Summary

Introduction

Integral imaging is an autostereoscopic three-dimensional (3-D) display method that presents natural full-parallax and continuous-viewing 3-D images via common incoherent illumination. The computer-generated integral imaging (CGII) technique eliminates the optical problems of integral imaging and generates high-quality EIAs through the virtual lens array in the computer graphics, and real-time computation is possible.[4,5,6,7] most CGII methods generate the EIAs from virtual objects, not real ones. By applying the image space parallel processing method using a graphics processing unit (GPU),[9,10,11,12,13,14] a real-time depth camera-based integral imaging display for real objects can be visualized.[15] this system eliminates the optical issues of the lens array, the failed. A higher-quality 3-D image based on the newly generated polygon model is obtained

Depth Camera-Based Integral Imaging System Using a Point Cloud Model
Depth Camera-Based Integral Imaging System Using a Polygon Model
Experimental Results
Conclusions

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