Iterative filtering of SIFT keypoint matches for multi-view registration in Distributed Video Coding

• Type: Article in International Scientific Journal
• Date: 2011

Authors

Ciobanu, L (Author) Other; Luís Corte-Real (Author) FEUP

Journal

Title: Multimedia Tools and Applications

Vol. 55 No. 3

Pages: 557-578

ISSN: 1380-7501

Publisher: Springer Nature

Indexing

ISI Web of Knowledge - 2 Citations

Scopus - 3 Citations

Other information

Authenticus ID: P-002-JFY

DOI: 10.1007/s11042-010-0565-4

Abstract (EN): Multi-view registration is an essential step in order to generate the side information for multi-view Distributed Video Coding. As stated in our previous work (Ciobanu and Crte-Real, Multimed Tools Appl 48(3):411-436, 2010) it can be achieved by SIFT (scale-invariant feature transform) generated keypoint matches. The registration accuracy is vital for the adequate generation of side information and it directly depends on the reliable match of possibly all the available point to point correlations between two complete-overlapped views. We propose a solution to this problem based on iterative filtering of SIFT-generated keypoint matches, using the Hough transform and block matching. It aims the generic, real-life and constraint-free scenarios having an arbitrarily close angle between the two views. Practical results show an overall significant reduction of the outliers while maintaining a high rate of correct matches.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 22