Improved SFS 3D measurement based on neural network

被引：0
作者：
Song, LM
Wang, D
Su, H
Li, XX
Liu, XY
机构：
[1] Information Engineering College, South West University of Science and Technology, SiChuan MianYang, 621010, China
来源：
JOURNAL OF OPTOELECTRONICS AND ADVANCED MATERIALS | 2006年 / 8卷 / 01期
关键词：
SFS; neural network; genetic algorithm; synthetic vase;
D O I：
暂无
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
Non-contact 3D surface measurement is an important problem for modern industry. Shape from shading (SFS) is a convenient method because it can recover the 3D shape only from one image. But the conventional SFS research has a lot of restriction, such as Lambertian illumination model. If the object isn't under this model, the precision will decrease quickly. We proposed an improved SFS based on neural network combining with genetic algorithm. This proposed SFS doesn't care much about the illumination and increased the precision. It has been used in the 3D reconstruction of synthetic vase, and also used in the online 3D measurement of work piece.
引用
收藏
页码：285 / 290
页数：6
相关论文
共 50 条
  • [41] Multi-Attributes and Neural Network-Based Fault Detection in 3D Seismic Interpretation
    Zheng, Zhihong
    Kavousi, Payam
    Di, Haibin
    [J]. CIVIL, STRUCTURAL AND ENVIRONMENTAL ENGINEERING, PTS 1-4, 2014, 838-841 : 1497 - +
  • [42] Soft Measurement Modeling Based on Improved Simulated Annealing Neural Network for Sewage Treatment
    Tian, Jingwen
    Gao, Meijuan
    [J]. 2009 WRI WORLD CONGRESS ON SOFTWARE ENGINEERING, VOL 2, PROCEEDINGS, 2009, : 486 - 489
  • [43] Prediction of air quality index based on improved neural network
    Wang Zhenghua
    Tian Zhihui
    [J]. 2017 INTERNATIONAL CONFERENCE ON COMPUTER SYSTEMS, ELECTRONICS AND CONTROL (ICCSEC), 2017, : 200 - 204
  • [44] Image Classification Based on Texture and Improved BP Neural Network
    Sun, Jun-ding
    Ma, Yuan-yuan
    Wang, Xiao-yan
    Wang, Xin-chun
    [J]. THIRD INTERNATIONAL SYMPOSIUM ON ELECTRONIC COMMERCE AND SECURITY WORKSHOPS (ISECS 2010), 2010, : 98 - 100
  • [45] A Misfire Fault Diagnosis System Based on Improved Neural Network
    Zhang, Kaiyu
    Deng, Jiwen
    Lu, Di
    [J]. MANUFACTURING SCIENCE AND TECHNOLOGY, PTS 1-8, 2012, 383-390 : 1549 - 1554
  • [46] IMPROVED ARTIFICIAL NEURAL NETWORK BASED ON INTELLIGENT OPTIMIZATION ALGORITHM
    Xu, Y.
    He, M.
    [J]. NEURAL NETWORK WORLD, 2018, 28 (04) : 345 - 360
  • [47] Simulation on task scheduling for multiprocessors based on improved neural network
    Li Xiaofang
    [J]. APPLIED SCIENCE, MATERIALS SCIENCE AND INFORMATION TECHNOLOGIES IN INDUSTRY, 2014, 513-517 : 2293 - 2296
  • [48] BP neural network optimization based on an improved genetic algorithm
    Yang, B
    Su, XH
    Wang, YD
    [J]. 2002 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-4, PROCEEDINGS, 2002, : 64 - 68
  • [49] An improved 3D face synthesis based on morphable model
    Wang, CZ
    Yin, BC
    Shi, Q
    Sun, YF
    [J]. ARTIFICIAL INTELLIGENCE APPLICATIONS AND INNOVATIONS II, 2005, 187 : 183 - 187
  • [50] Millimeter-Sized Neural Building Blocks for 3D Heterogeneous Neural Network Assembly
    Kato-Negishi, Midori
    Morimoto, Yuya
    Onoe, Hiroaki
    Takeuchi, Shoji
    [J]. ADVANCED HEALTHCARE MATERIALS, 2013, 2 (12) : 1564 - 1570
12345