Parameter matching of three dimensional display based on space of corresponding image point transformation
| Autor: | 赵星 Zhao Xing, 杨勇 Yang Yong, 袁小聪 Yuan Xiao-cong, 步敬 Bu Jing, 徐于萍 Xu Yu-ping |
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| Rok vydání: | 2012 |
| Předmět: |
Integral imaging
Matching (graph theory) business.industry ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Process (computing) Function (mathematics) Space (mathematics) Atomic and Molecular Physics and Optics Electronic Optical and Magnetic Materials Image (mathematics) Transformation (function) Computer Science::Computer Vision and Pattern Recognition Focal length Computer vision Artificial intelligence business Mathematics |
| Zdroj: | Optics and Precision Engineering. 20:1084-1089 |
| ISSN: | 1004-924X |
| DOI: | 10.3788/ope.20122005.1084 |
| Popis: | Three-dimensional scene is the mirror image of recording scene in a traditional integral imaging system.However,when a camera array is employed to capture elemental images,it can not be reconstructed correctly becaused of the mismatch between the parameters of lens array and the parameters of camera array.In order to rebuild a new relationship between the reconstructed image distance and the parameters of elemental images,a new method by using the Space of Corresponding Image Points(SCIP) to calculate the reconstructed image distance is proposed.In this method,the SCIP is a function of the object distance of scene,the focal length of camera and other parameters.It is equivalent to the lens array in the process of image reconstruction.By transforming the SCIP matched with the parameters of lens array,the scene with different reconstracted image distances can be reconstructed exactly.By experiments,this paper verifies that different SCIPs can result in different reconstructed image distances theoretically and experimentally. |
| Databáze: | OpenAIRE |
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