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.
REF propose an approach to matching a region between an image and a query image that is based on the integral P-channel representation obtained by computing image features on the pixels.
Integral P-channels for fast and robust region matching
2009 16th IEEE International Conference on Image Processing (ICIP)
2009 16th IEEE International Conference on Image Processing (ICIP)
Computer Science