计算机科学 ›› 2014, Vol. 41 ›› Issue (Z6): 164-166.

• 模式识别与图像处理 • 上一篇    下一篇

单相机变焦图像深度估计技术研究

高宏伟,王慧科,刘传银,李斌   

  1. 沈阳理工大学信息科学与工程学院 沈阳110159;中国科学院沈阳自动化研究所机器人学国家重点实验室 沈阳110016;沈阳理工大学信息科学与工程学院 沈阳110159;沈阳理工大学信息科学与工程学院 沈阳110159;中国科学院沈阳自动化研究所机器人学国家重点实验室 沈阳110016
  • 出版日期:2018-11-14 发布日期:2018-11-14
  • 基金资助:
    本文受中国博士后科学基金(2013M530954),中科院沈阳自动化研究所机器人学国家重点实验室开放课题(2012017)资助

Depth Estimation of Single Camera Zooming Image

GAO Hong-wei,WANG Hui-ke,LIU Chuan-yin and LI Bin   

  • Online:2018-11-14 Published:2018-11-14

摘要: 对单相机变焦图像深度估计的若干关键技术进行了详细的研究。首先,从变焦相机的自身特点出发,研究了变焦相机的参数标定方法;其次,研究了基于SIFT的特征点匹配算法,并结合变焦图像的几何约束实现了特征点的鲁棒匹配;最后,建立了变焦图像的三维重建模型。基于真实采集图像的实验结果证明了相关算法的有效性和实用性。

关键词: 变焦图像,标定,SIFT匹配,深度估计 中图法分类号TP249文献标识码A

Abstract: Some key technologies for the depth estimation of single camera zooming image were investigated in detail.Firstly,camera parameters calibration was executed combining the characteristics of zooming camera.Then,robust feature matching based on SIFT was realized by geometry constraint of zooming image.Finally,the 3D reconstruction model of zooming image was established.The experiment results based on real sample images prove the validity and practicability of the related algorithms.

Key words: Zooming image,Calibration,SIFT matching,Depth estimation

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