Patch-based Image Correlation with Rapid Filtering

This paper describes a patch-based approach for rapid image correlation or template matching. By representing a template image with an ensemble of patches, the method is robust with respect to variations such as local appearance variation, partial occlusion, and scale changes. Rectangle filters are applied to each image patch for fast filtering based on the integral image representation. A new method is developed for feature dimension reduction by detecting the "salient" image structures given a single image. Experiments on a variety images show the success of the method in dealing with different variations in the test images. In terms of computation time, the approach is faster than traditional methods by up to two orders of magnitude and is at least three times faster than a fast implementation of normalized cross correlation.

• Type: Conference
• Year: 2007
• Where: CVPR
• Authors: Guodong Guo, Charles R. Dyer
• Keywords: Computer Vision, CVPR 2007, Image Patch, Integral Image Representation, Normalized Cross Correlation, Rapid Image Correlation, Template Image