Variable bandwidth QMDPE and its application in robust optical flow estimation

被引:0
|
作者
Wang, H [1 ]
Suter, D [1 ]
机构
[1] Monash Univ, Dept Elect & Comp Syst Engn, Clayton, Vic 3800, Australia
关键词
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Robust estimators, such as Least Median of Squared.(LMedS) Residuals, M-estimators, the Least Trimmed Squares (LTS) etc., have been employed to estimate optical flow from image sequences in recent years. However, these robust estimators have a breakdown point of no more than 50%. In this paper, we propose a novel robust estimator, called variable bandwidth Quick Maximum Density Power Estimator (vbQMDPE), which can tolerate more than 50% outliers. We apply the novel proposed estimator to robust optical flow estimation. Our method yields better results than most other recently proposed methods, and it has the potential to better handle multiple motion effects.
引用
收藏
页码:178 / 183
页数:6
相关论文
共 50 条
  • [31] Robust optical flow estimation based on brightness correction fields
    Wang, Wei
    Su, Zhi-xun
    Pan, Jin-shan
    Wang, Ye
    Sun, Ri-ming
    JOURNAL OF ZHEJIANG UNIVERSITY-SCIENCE C-COMPUTERS & ELECTRONICS, 2011, 12 (12): : 1010 - 1020
  • [32] Robust estimation of optical flow based on the maximum likelihood estimators
    KAIST, Taejon, Korea, Republic of
    IEICE Trans Inf Syst, 9 (1286-1295):
  • [33] Empirical choice of smoothing parameters in robust optical flow estimation
    Shi, MG
    Solo, V
    2004 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOL III, PROCEEDINGS: IMAGE AND MULTIDIMENSIONAL SIGNAL PROCESSING SPECIAL SESSIONS, 2004, : 349 - 352
  • [34] Robust optical flow estimation via edge preserving filtering
    Rao, Sana
    Wang, Hanzi
    SIGNAL PROCESSING-IMAGE COMMUNICATION, 2021, 96
  • [35] Robust Estimation of Camera Motion Using Optical Flow Models
    Almeida, Jurandy
    Minetto, Rodrigo
    Almeida, Tiago A.
    Torres, Ricardo da S.
    Leite, Neucimar J.
    ADVANCES IN VISUAL COMPUTING, PT 1, PROCEEDINGS, 2009, 5875 : 435 - +
  • [36] Robust estimation of optical flow based on the maximum likelihood estimators
    Lee, KH
    Wohn, KY
    IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS, 1996, E79D (09) : 1286 - 1295
  • [37] Robust optical flow estimation based on brightness correction fields
    Wei Wang
    Zhi-xun Su
    Jin-shan Pan
    Ye Wang
    Ri-ming Sun
    Journal of Zhejiang University SCIENCE C, 2011, 12 : 1010 - 1020
  • [38] Sparsity Model for Robust Optical Flow Estimation at Motion Discontinuities
    Shen, Xiaohui
    Wu, Ying
    2010 IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR), 2010, : 2456 - 2463
  • [39] Robust Optical Flow Estimation Using the Monocular Epipolar Geometry
    Mohamed, Mahmoud A.
    Mertsching, Baerbel
    COMPUTER VISION SYSTEMS (ICVS 2019), 2019, 11754 : 521 - 530
  • [40] A Decoupled Approach to Illumination-Robust Optical Flow Estimation
    Kumar, Abhishek
    Tung, Frederick
    Wong, Alexander
    Clausi, David A.
    IEEE TRANSACTIONS ON IMAGE PROCESSING, 2013, 22 (10) : 4136 - 4147