An improved SIFT descriptor based on in-out region division

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

SIFT descriptor is one of the most widely-used local features for image matching. This paper presents an in-out region division method to improve the matching rate and the computational efficiency of SIFT descriptor. The descriptor region composed of pixel blocks around each keypoint is divided into the inner and the outer regions, in which different weights are assigned to the feature vectors. In each pixel block, a low dimensional feature vector is extracted. A bidirectional verification strategy is adopted to determine the keypoint matching. The experimental results show that the proposed method greatly improves the matching rate and the computational efficiency.

Original languageEnglish
Title of host publication2017 IEEE 2nd International Conference on Signal and Image Processing, ICSIP 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages101-105
Number of pages5
ISBN (Electronic)9781538609682
DOIs
StatePublished - 29 Nov 2017
Event2nd IEEE International Conference on Signal and Image Processing, ICSIP 2017 - Singapore, Singapore
Duration: 4 Aug 20176 Aug 2017

Publication series

Name2017 IEEE 2nd International Conference on Signal and Image Processing, ICSIP 2017
Volume2017-January

Conference

Conference2nd IEEE International Conference on Signal and Image Processing, ICSIP 2017
Country/TerritorySingapore
CitySingapore
Period4/08/176/08/17

Keywords

  • Bidrectional verification
  • Region division
  • SIFT

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