Integral P-channels for fast and robust region matching

Authors:
Alain Pagani;Didier Stricker;Michael Felsberg
Affiliations:
DFKI, Augmented Vision, Kaiserslautern University, Germany;DFKI, Augmented Vision, Kaiserslautern University, Germany;Computer Vision Laboratory, Linköping University, Sweden
Venue:
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Year:
2009

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Abstract

We present a new method for matching a region between an input and a query image, based on the P-channel representation of pixel-based image features such as grayscale and color information, local gradient orientation and local spatial coordinates. We introduce the concept of integral P-channels, which conciliates the concepts of P-channel and integral images. Using integral images, the P-channel representation of a given region is extracted with a few arithmetic operations. This enables a fast nearest-neighbor search in all possible target regions. We present extensive experimental results and show that our approach compares favorably to existing methods for region matching such as histograms or region covariance.