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, Bundle adjustment, Global 3D reconstruction, RANSAC algorithm

CLC Number: 

  • TP391.7
[1]CHENG X J,ZHANG H F,XIE R.Study on 3D laser scanning modeling method for Large-Scale history building[C]∥International Conference on Computer Application and System Mo-deling.IEEE,2010:V7-573-V7-577.
[2]GRACIÁ L,SAEZ-BARONA S,CARRIOÓN D,et al.A System for Real-Time Multi-View 3D Reconstruction[C]∥Workshops on Database and Expert Systems Applications.IEEE Computer Society,2010:235-239.
[3]SCHÖNING J,HEIDEMANN G.Evaluation of multi-view 3D reconstruction software[C]∥Computer Analysis of Images and Patterns.2015:450-461.
[4]HÄMING K,PETERS G.The structure-from-motion recon-struction pipeline-A survey with focus on short image sequences[J].Kybernetika-Praha,2010,5(5):926-937.
[5]SABZEVARI R,BUE A D,MURINO V.Structure from Motion and Photometric Stereo for Dense 3D Shape Recovery[M]// Image Analysis and Processing-ICIAP 2011.Springer Berlin Heidelberg,2011:660-669.
[6]SCHÖNBERGER J L,FRAHM J M.Structure-from-Motion Revisited[C]∥Computer Vision and Pattern Recognition.IEEE,2016.
[7]MOULON P,MONASSE P,MARLET R.Adaptive Structure from Motion with a Contrario,Model Estimation[M]∥Compu-ter Vision-ACCV 2012.Springer Berlin Heidelberg,2012:257-270.
[8]MOULON P,MONASSE P,MARLET R.Global Fusion of Re-lative Motions for Robust,Accurate and Scalable Structure from Motion[C]∥IEEE International Conference on Computer Vision.IEEE Computer Society,2013:3248-3255.
[9]ALCANTARILLA P F,BARTOLI A,DAVISON A J.KAZE Features[M]∥Computer Vision-ECCV 2012.Springer Berlin Heidelberg,2012:214-227.
[10]JIANG G,LIU L,ZHU W,et al.A 127 fps in full hd accelerator based on optimized AKAZE with efficiency and effectiveness for image feature extraction[C]∥IEEE Design Automation Con-ference.2015:1-6.
[11]CHEN Y,CHAN A B,LIN Z,et al.Efficient tree-structured SfM by RANSAC generalized Procrustes analysis[J].Computer Vision & Image Understanding,2017,157(C):179-189.
[12]许可乐.图像局部不变特征检测与描述技术研究[D].长沙:国防科学技术大学,2013.
[13]吴鹏,于秋则,闵顺新.一种快速鲁棒的SAR图像匹配算法[J].计算机科学,2017,44(7):283-288.
[14]SHI L M,GUO F S,HU Z Y,et al.An Improved PMVS through Scene Geometric Information[J].Acta Automatica Si-nica,2011,37(5):560-568.
[15]田歌,赵阳,张浩,等.基于Delaunay算法三角形网格划分的角点优化处理[C]∥北京力学会学术年会.2010.
[1] XING Wen-bo, DU Zhi-chun. Digital Image Forensics for Copy and Paste Tampering [J]. Computer Science, 2019, 46(6A): 380-384.
[2] SHAO Jin-da, YANG Shuai, CHENG Lin. UAV Image Matching Algorithm Based on Improved SIFT Algorithm and Two-stage Feature Matching [J]. Computer Science, 2019, 46(6): 316-321.
[3] HU Yan-hua ,TANG Peng ,JIN Wei-dong, HE Zheng-wei. Estimation of FOE for Railway Video Sequences [J]. Computer Science, 2018, 45(7): 226-229.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!