A reconstruction method for disparity image based on region segmentation and RBF neural network

Information Technology Journal

Volumn 10, Issue 5, 2011, Pages 1050-1055

  Shuchun, Yu ^a   Xiaoyang, Yu ^a   Li'na, Shan ^a   Yuping, Zhang ^a   Yongbin, Shen ^a   Miaomiao, Tian ^a   Shenshen, Fan ^a   Haixia, Huang ^a  

^a HARBIN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

Author keywords

3D reconstruction; Disparity image; Point clouds; RBF neural network; Stereo vision

Indexed keywords

3-D IMAGE; 3D RECONSTRUCTION; DATA VOLUME; DISPARITY IMAGE; HIGH QUALITY; IMAGE-BASED; KEY TECHNOLOGIES; POINT CLOUD; POINT CLOUDS; RADICAL BASIS FUNCTIONS; RBF NEURAL NETWORK; RECONSTRUCTION METHOD; REGION SEGMENTATION; TOPOLOGICAL STRUCTURE;

CLOUDS; EDGE DETECTION; IMAGE RECONSTRUCTION; IMAGE SEGMENTATION; NEURAL NETWORKS; RADIAL BASIS FUNCTION NETWORKS; STEREO VISION;

THREE DIMENSIONAL;

EID: 79955892514     PISSN: 18125638     EISSN: 18125646     Source Type: Journal    
DOI: 10.3923/itj.2011.1050.1055     Document Type: Article

References (6)

1. Alfredo, L., L. Francesco andP. Marcello, 2010. Real-time 3D features reconstruction through monocular vision. Int. J. Interact. Des. Manuf, 4: 103-112.
2. Atkinson, G.A., A.R. Farooq, M.L. Smith and L.N. Smith, 2009. Facial reconstruction and alignment using photometric stereo and surface fitting. Pattern Recognit. Image Anal, 5524: 88-95.
3. Brovko, A.V., E.K. Murphy and V.V. Yakovlev, 2009. Waveguide microwave imaging: Neural network reconstruction of functional 2-D permittivity profiles. IEEE Trans. Microwave Theory Techniques, 57: 406-414.
4. Grant, S. and D. Frank, 2010. Probabilistic temporal inference on reconstructed 3D scenes. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, June 13-18, San Francisco, CA, pp: 1410-1417.
5. Guo-Hui, H., Z. Bin and G. Jun-Ying, 2008. 3-D face reconstruction using RBF and B spline method. Proc. Int. Congress Image Signal Proc, 1: 239-243.
6. Raissi, D.V., L. Fabrice and B. Benoit, 2008. Piece-wise linear DFT interpolation for UR systems: Performance and error bound computation. Proceedings of the 42nd Asilomar Conference on Signals, Systems and Computers, Oct. 26-29, Pacific Grove, CA, pp: 588-592.