吉林大学学报(工学版) ›› 2016, Vol. 46 ›› Issue (5): 1681-1687.doi: 10.13229/j.cnki.jdxbgxb201605044

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Elemental image generation combing discrete viewpoint pickup with adaptive window interception

GUO Min1, SI Yu-juan1,2, WANG Shi-gang1, LYU Yuan-zhi3, WU Wei1, ZHAO Wen-ting1   

  1. 1.College of Communication Engineering, Jilin University, Changchun 130012, China;
    2.Department of Electronic Information, Zhuhai College of Jilin University, Zhuhai 519041,China;
    3.Photoelectric Technology Research and Development Center, Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033,China
  • Received:2015-06-04 Online:2016-09-20 Published:2016-09-20

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Abstract: To overcome the reliance on the pickup platform parameters of elemental image array generation method, which combines discrete viewpoint pickup with window interception, we proposed an adaptive window interception algorithm based on the object to generate an elemental image array. First, the discrete viewpoint image array is acquired using the discrete viewpoint pickup platform. Then, the imaging area of the object in every viewpoint image is calculated. Then, the interception window is generated according to the restriction on the parameters of the interception window from the imaging area, and the discrete viewpoint image array is processed into a sub-image array with the interception window. Finally, the sub-image array is transformed into the corresponding elemental image array. Experimental results show that, without the pickup platform parameters, the proposed method can generate the same elemental image array as the traditional method can, which will boost the universality of the discrete viewpoint image array and the generation efficiency of the elemental image array.

Key words: information processing technology, elemental image array, adaptive window interception, discrete viewpoint image array, sub-image array

CLC Number: 

  • TN911
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