Computer Science ›› 2017, Vol. 44 ›› Issue (Z11): 225-227.doi: 10.11896/j.issn.1002-137X.2017.11A.047

Previous Articles     Next Articles

Disparity Estimation Algorithm Based on Frequency Sensitive Three-dimensional Self-organizing Map

REN Yun, CHENG Fu-lin and LI Hong-song   

  • Online:2018-12-01 Published:2018-12-01

Abstract: A disparity estimation algorithm was presented based on frequency sensitive three-dimensional self-organizing map in this paper.It uses disparity pattern recognition (DPR) algorithm based on classified three-dimensional self-organizing map (CFS-3DSOM).The main idea is predicting disparity separately for low light area and high light area of disparity images,and adding frequency sensitive method when training pattern library.Experiment results show that the average peak signal noise ratio (PSNR) of disparity prediction image of CFS-3DSOM-DPR algorithm increases 1.78dB compared to disparity estimation algorithm based on block.

Key words: Disparity estimation,Self-organizing map,Disparity pattern recognition,Stereo video coding

[1] HAUBLEIN K,REICHENBACH M,FEY D.Fast and generic hardware architecture for stereo block matching applications on embedded systems[C]∥2014 International Conference on Re-ConFigurable Computing and FPGAs(ReConFig).IEEE,2014:1-6.
[2] SAHLBACH H,ERNST R,WONNEBERGER S,et al.Exploration of FPGA-based dense block matching for motion estimation and stereo vision on a single chip[C]∥IEEE Intelligent Vehicles Symposium.IEEE,2013:823-828.
[3] WANG Y C,TUNG C P,CHUNG P C.Efficient disparity estimation using hierarchical bilateral disparity structure based graph cut algorithm with a foreground boundary refinement mechanism [J].IEEE Transactions on Circuits & Systems for Video Technology,2013,23(5):784-801.
[4] 赵戈,蔺蘭,唐延东,等.一种基于曲率与置信度传播的视差估计方法[J].模式识别与人工智能,2013,26(12):1154-1160.
[5] PODDAR S,SAHU H,BANGALE M R,et al.Feature based dense disparity estimation[C]∥2015 International Conference on Industrial Instrumentation and Control (ICIC).IEEE,2015:950-955.
[6] KAMENCAY P,BREZNAN M,JELSOVKA D,et al.Sparse dis-parity map computation from stereo-view images using segment based algorithm[C]∥2012 22nd International Conference Radioelektronika (RADIOELEKTRONIKA).IEEE,2012:1-4.
[7] RAMAN S,KANOJIA G,et al.FacialStereo:Facial depth estimation from a stereo pair[C]∥International Conference on Computer Vision Theory and Applications.2014:686-691.
[8] KOHONEN T.Essentials of the self-organizing map[J].Neural Networks,2013,7:52-65.
[9] LI N,CHENG X,ZHANG S,et al.Realistic human action re-cognition by Fast HOG3D and self-organization feature map[J].Machine Vision and Applications,2014,25(7):1793-1812.
[10] KAMAL S,MUJEEB A,SUPRIYA M H.Novel class detection of underwater targets using self-organizing neural networks[C]∥Underwater Technology (UT),2015.IEEE,2015:1-5.
[11] PARK S,RYU U S,CHOI Y,et al.A framework for baselineload estimation in demand response:Data mining approach[C]∥2014 IEEE International Conference on Smart Grid Communications (SmartGridComm).IEEE,2014:638-643.
[12] MCLOUGHLIN F,DUFFY A,CONLON M.A clustering approach to domestic electricity load profile characterisation using smart metering data[J].Applied Energy,2015,141:190-199.

No related articles found!
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!