Local stereovision matching through the ADALINE neural network

被引：12
|
作者：
Pajares, G [1 ]
de la Cruz, JM [1 ]
机构：
[1] Univ Complutense Madrid, Fac Ciencias Fis, Dept Arquitectura Computadores & Atomat, E-28040 Madrid, Spain
来源：
PATTERN RECOGNITION LETTERS | 2001年 / 22卷 / 14期
关键词：
neural networks; ADALINE; delta rule; training; learning; stereovision; matching; similarity;
D O I：
10.1016/S0167-8655(01)00097-6
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper presents an approach to the local stereovision matching problem using edge segments as features with four attributes. Based on these attributes we compute a matching probability between pairs of features of the stereo images. A correspondence is said to be true when this probability is maximum. The probability value is a weighted sum of the attributes. We use two combined ADALINE neural networks to compute the weight for each attribute. A comparative analysis among other recent matching methods is illustrated. (C) 2001 Elsevier Science B.V. All rights reserved.
引用
收藏
页码：1457 / 1473
页数：17
相关论文
共 50 条
  • [1] A NEURAL-NETWORK MODEL IN STEREOVISION MATCHING
    CRUZ, JM
    PAJARES, G
    ARANDA, J
    NEURAL NETWORKS, 1995, 8 (05) : 805 - 813
  • [2] A Probabilistic Neural Network for Attribute Selection in Stereovision Matching
    G. Pajares
    J. M. de la Cruz
    Neural Computing & Applications, 2002, 11 : 83 - 89
  • [3] A probabilistic neural network for attribute selection in stereovision matching
    Pajares, G
    de la Cruz, JM
    NEURAL COMPUTING & APPLICATIONS, 2002, 11 (02): : 83 - 89
  • [4] Logic Learning in Adaline Neural Network
    Norani, Nadia Athirah
    Kasihmuddin, Mohd Shareduwan Mohd
    Mansor, Mohd Asyraf
    Khurizan, Noor Saifurina Nana
    PERTANIKA JOURNAL OF SCIENCE AND TECHNOLOGY, 2021, 29 (01): : 285 - 300
  • [5] Improving stereovision matching through supervised learning
    Pajares, G
    de la Cruz, JM
    López-Orozco, JA
    PATTERN ANALYSIS AND APPLICATIONS, 1998, 1 (02) : 105 - 120
  • [6] Improving stereovision matching through supervised learning
    G. Pajares
    J. M. de la Cruz
    J. A. López-Orozco
    Pattern Analysis and Applications, 1998, 1 : 105 - 120
  • [7] Stereovision matching through Support Vector Machines
    Pajares, G
    de la Cruz, JM
    PATTERN RECOGNITION LETTERS, 2003, 24 (15) : 2575 - 2583
  • [8] Processing of Biomedical Signal with Neural Network Adaline
    Medina-Santiago, A.
    Gomez-Aguilera, L. E.
    Cisneros-Gomez, A.
    Melgar-Paniagua, E. M.
    Nango-Solis, G. B.
    Morales-Navarro, N. A.
    Villegas-Izaguirre, J. M.
    Garcia-Chong, N. R.
    Bermudez-Rodriguez, J. I.
    2017 12TH IBERIAN CONFERENCE ON INFORMATION SYSTEMS AND TECHNOLOGIES (CISTI), 2017,
  • [9] A generalized ADALINE neural network for system identification
    Zhang, Wenle
    2007 IEEE INTERNATIONAL CONFERENCE ON CONTROL AND AUTOMATION, VOLS 1-7, 2007, : 819 - 823
  • [10] Stereovision measurement method based on neural network
    Liu, YM
    Xue, DY
    Xu, XH
    ICEMI 2005: Conference Proceedings of the Seventh International Conference on Electronic Measurement & Instruments, Vol 4, 2005, : 655 - 658
12345