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

作者：Ciobanu Lucian^*; Corte Real Luis

来源：Multimedia Tools and Applications, 2011, 55(3): 557-578.

DOI：10.1007/s11042-010-0565-4

• Multi-view registration (MVR)
• Side information
• Distributed Video Coding (DVC)
• Scale-invariant feature transform (SIFT)
• Hough transform
• Block matching (BM)
• Mean Squared Error (MSE)

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.

• 出版日期2011-12