Acta Scientiarum Naturalium Universitatis Pekinensis ›› 2018, Vol. 54 ›› Issue (2): 336-340.DOI: 10.13209/j.0479-8023.2017.116

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Disparity Estimation Method for Free-Texture Scenes Based on Light Field

ZHENG Miao, ZHAO Hongying, YANG Peng, YAN Lei, ZHENG Hongyun, CUI Jialiang   

  1. School of Earth and Space Science, Peking University, Beijing 100871
  • Received:2016-12-30 Revised:2017-03-28 Online:2018-03-20 Published:2018-03-20
  • Contact: ZHAO Hongying, E-mail: zhaohy(at)


郑淼, 赵红颖, 杨鹏, 晏磊, 郑鸿云, 崔家梁   

  1. 北京大学地球与空间科学学院, 北京 100871
  • 通讯作者: 赵红颖, E-mail: zhaohy(at)
  • 基金资助:


In order to improve the pixel distinguishability, this paper introduces an algorithm that the quantized geometric relationship among sub images of light field replaced the pixel value. Based on this relationship, the epipolar line division ratio is calculated to take place of pixel value. Experimental results showed that the disparity map with the division ratio images are obviously superior to those obtained by using the subaperture images.

Key words: light field, free-texture, disparity estimation, epipolar line division ratio


为了提高无纹理区域视差计算结果, 在利用光场子孔径图像立体匹配估计无纹理区域的视差时, 采用量化的光场子孔径图像之间的几何关系代替像素值进行立体匹配。根据光场子孔径图像之间的几何关系, 计算像素点的极线分割比, 用极线分割比代替子孔径图像像素值, 提高了像素可区分性。实验结果表明, 利用分割比图像得到的视差图结果明显优于利用子孔径图像得到的结果。

关键词: 光场, 无纹理, 视差估计, 极线分割比

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