We present a new method for matching a region between an input and a query image, based on the P-channel representa-tion of pixel-based image features such as grayscale and color information, local gradient orientation and local spatial co-ordinates. We introduce the concept of integral P-channels, which conciliates the concepts of P-channel and integral im-ages. 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 tar-get regions. We present extensive experimental results and show that our approach compares favorably to existing meth-ods for region matching such as histograms or region covari-ance. Index Terms — Regio...
We study the performance of ‘integral channel features’ for image classification tasks, focusing in...
A fuzzy feature matching approach for computing the region based image similarity is proposed in the...
AbstractUsually, the correspondence for a point in the first image is obtained by searching on the e...
<p>The integral image representation permits to evaluate the sum of image values over rectangular re...
We study the performance of ‘integral channel features ’ for image classification tasks, focusing in...
In this paper we propose an image matching approach that selects the method of matching for each reg...
Content-based image retrieval, which provides convenient ways to retrieve images from large image da...
Region-based image retrieval systems aim to improve the effectiveness of content-based search by dec...
We present a novel method, which we refer as an integral histogram, to compute the histograms of al...
Abstract. We describe a new region descriptor and apply it to two problems, object detection and tex...
A technique to retrieve images by region matching using a combined feature index based on color, sha...
An efficient algorithm for detecting invariant and salient image regions is presented. The detected ...
This paper proposes a content based image retrieval (CBIR) system using the local colour and texture...
We propose an integral image based algorithm to extract feature covariance matrices of all possible ...
We describe a simple and efficient dense matching method based on region growing techniques, which c...
We study the performance of ‘integral channel features’ for image classification tasks, focusing in...
A fuzzy feature matching approach for computing the region based image similarity is proposed in the...
AbstractUsually, the correspondence for a point in the first image is obtained by searching on the e...
<p>The integral image representation permits to evaluate the sum of image values over rectangular re...
We study the performance of ‘integral channel features ’ for image classification tasks, focusing in...
In this paper we propose an image matching approach that selects the method of matching for each reg...
Content-based image retrieval, which provides convenient ways to retrieve images from large image da...
Region-based image retrieval systems aim to improve the effectiveness of content-based search by dec...
We present a novel method, which we refer as an integral histogram, to compute the histograms of al...
Abstract. We describe a new region descriptor and apply it to two problems, object detection and tex...
A technique to retrieve images by region matching using a combined feature index based on color, sha...
An efficient algorithm for detecting invariant and salient image regions is presented. The detected ...
This paper proposes a content based image retrieval (CBIR) system using the local colour and texture...
We propose an integral image based algorithm to extract feature covariance matrices of all possible ...
We describe a simple and efficient dense matching method based on region growing techniques, which c...
We study the performance of ‘integral channel features’ for image classification tasks, focusing in...
A fuzzy feature matching approach for computing the region based image similarity is proposed in the...
AbstractUsually, the correspondence for a point in the first image is obtained by searching on the e...