Behavior analysis of Evolution Strategy Sample Consensus

Yuichiro Toda, Naoyuki Kubota

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Recently, robust estimators are expected in various fields such as signal processing and machine learning. In our previous work, we proposed Evolution Strategy Sample Consensus (ESSAC) as a new robust estimator method and improved a trade off between a calculation time and stability of SAmple Consensus (SAC) algorithms. In this paper, we show several experiments for behavior analysis of ESSAC in order to discuss why ESSAC enable to search stably in the dataset including the huge number of noises. and analyze several experiments related with the fitness function of SAC and the behavior of ESSAC.

Original languageEnglish
Title of host publication10th France-Japan Congress, 8th Europe-Asia Congress on Mecatronics, MECATRONICS 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages250-255
Number of pages6
ISBN (Electronic)9781479957170
DOIs
Publication statusPublished - Jan 22 2014
Externally publishedYes
Event10th France-Japan/8th Europe-Asia Congress on Mecatronics, MECATRONICS 2014 - Tokyo, Japan
Duration: Nov 27 2014Nov 29 2014

Publication series

Name10th France-Japan Congress, 8th Europe-Asia Congress on Mecatronics, MECATRONICS 2014

Other

Other10th France-Japan/8th Europe-Asia Congress on Mecatronics, MECATRONICS 2014
CountryJapan
CityTokyo
Period11/27/1411/29/14

Keywords

  • Evolutionary Computation
  • Homography Estimation Problem
  • Robust Estimator

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Mechanical Engineering

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  • Cite this

    Toda, Y., & Kubota, N. (2014). Behavior analysis of Evolution Strategy Sample Consensus. In 10th France-Japan Congress, 8th Europe-Asia Congress on Mecatronics, MECATRONICS 2014 (pp. 250-255). [7018611] (10th France-Japan Congress, 8th Europe-Asia Congress on Mecatronics, MECATRONICS 2014). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/MECATRONICS.2014.7018611