Computer Science ›› 2018, Vol. 45 ›› Issue (11A): 180-184.

• Pattem Recognition & Image Processing • Previous Articles     Next Articles

Multi-view Geometric 3D Reconstruction Method Based on AKAZE Algorithm

ZHOU Sheng-pu, GENG Guo-hua, LI Kang, WANG Piao   

  1. School of Information Science and Technology,Northwest University,Xi’an 710127,China
    National-Local Joint Engineering Research Center of Cultural Heritage Digitization,Northwest University,Xi’an 710127,China
  • Online:2019-02-26 Published:2019-02-26

Abstract: Aiming at the low efficiency of incremental motion recovery structure algorithm in multi-view geometric 3D reconstruction algorithm,a multi-view geometric 3D reconstruction method based on AKAZE algorithm was proposed.The target image obtained by the camera is detected and matched by AKAZE algorithm,and the weak matching image is eliminated by using the random sample consensus algorithm and the three view constraints.Then the global rotation parameters are solved by the least square method according to the relative position and attitude parameters of the matching graphs,and the global displacement parameters are solved by using the three-view constraint relation.Finally,the bundle adjustment optimization is carried out.The experimental results show that the proposed algorithm can improve the processing efficiency and meet the needs of fast processing on the basis of improving the reconstruction effect.

Key words: AKAZE algorithm, Global 3D reconstruction, RANSAC algorithm, Bundle adjustment

CLC Number: 

  • TP391.7
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