Paper Details: Downloads: 319
Serial Number: P1150830266
Title: Extending the Scale Invariant Feature Transform Descriptor into the Color Domain
Authors: Robert H. Luke and James M. Keller and Jesus Chamorro-Martinez
Abstract: In recent years, Lowe’s Scale Invariant Feature Transform algorithm (SIFT) has become a widely used tool for object recognition. One shortcoming is that it only works on grayscale image intensities. In this paper, we propose extending the SIFT descriptor to also incorporate color information in a novel fashion. The keypoint descriptor proposed in this paper is a superset of the original feature vector and works exactly the same on grayscale or single band images as well as in regions of a color image that are essentially monochromatic. Examples are presented to demonstrate the matching capability of the new descriptor in color image processing.
Keywords: Color Computer Vision, SIFT, Image Processing, Object Recognition.
Journal/Conference: International Journal of Graphics, Vision and Image Processing
Volume: 8
Issue: 4
Submission Date: 7/24/2008 12:00:00 AM
Review Date: 9/13/2008 12:00:00 AM
Publishing Date: 10/9/2008 12:00:00 AM
Article Downloads: 319
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