A novel affine invariant feature set and its application in motion estimation

L. Chen, Z. Lu, E. K. Teoh, Z. Xue

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

Abstract

This paper proposed a novel semi-local feature set, which is proved to be affine invariant. The proposed feature set can be local or global based on the mask parameter selected. Small mask indicates local features, which are more precise and not sensitive to occlusion problem. Large mask indicates global features, which are more robust and less sensitive to noise. Using this feature set a correspondence based velocity estimation algorithm is developed. This motion estimation method can be used in motion detection, motion segmentation, and motion based recognition.

Original languageEnglish
Title of host publicationIEEE International Conference on Image Processing
Volume3
StatePublished - Dec 1 2000
EventInternational Conference on Image Processing (ICIP 2000) - Vancouver, BC, Canada
Duration: Sep 10 2000Sep 13 2000

Other

OtherInternational Conference on Image Processing (ICIP 2000)
CountryCanada
CityVancouver, BC
Period9/10/009/13/00

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Hardware and Architecture
  • Electrical and Electronic Engineering

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