Scale-Invariant Feature Extraction by VQ-Based Local Image Descriptor | IEEE Conference Publication | IEEE Xplore

Scale-Invariant Feature Extraction by VQ-Based Local Image Descriptor


Abstract:

SIFT (scale invariant feature transform) feature is identified as being invariant to common image deformations caused by the rotation, scaling, and illumination. In this ...Show More

Abstract:

SIFT (scale invariant feature transform) feature is identified as being invariant to common image deformations caused by the rotation, scaling, and illumination. In this paper, instead of using SIFT's smoothed weighted orientation histograms, we apply vector quantization (VQ) histogram as an alternate representation for local image descriptor. Experimental results demonstrate that the VQ-based local descriptors are more robust to image deformations.
Date of Conference: 10-12 December 2008
Date Added to IEEE Xplore: 24 July 2009
Print ISBN:978-0-7695-3514-2
Conference Location: Vienna, Austria

Contact IEEE to Subscribe

References

References is not available for this document.