Object recognition, i. e. classification of objects into one of several known object classes, generally is a difficult task. In this paper we address the problem of detecting an...
Principal component analyses (PCA) has been widely used in reduction of the dimensionality of datasets, classification, feature extraction, etc. It has been combined with many oth...
A method for the elimination of cracks in infrared reflectograms is presented. Infrared reflectograms show the underdrawing – the basic concept of the artist drawn on the grou...
The aim of this paper is to evaluate the potential usefulness of the reject option for text categorisation (TC) tasks. The reject option is a technique used in statistical pattern...
We propose a methodology for reconstructing large– scale architectural scenes from low–altitude aerial images, in an efficient, accurate and fully automatic way. Towards this...
Adriano B. Huguet, Rodrigo L. Carceroni, Arnaldo d...
Principal Components Analysis (PCA) has been one of the most applied methods for face verification using only 2D information, in fact, PCA is practically the method of choice for ...
In this paper we present a new matching method called Tuple Matching (TM), which is an algorithm for matching of signatures. Since signatures can contain arbitrary features like c...
The Fourier transform is a well known and widely used tool in many scientific and engineering fields. The Fourier transform is essential for many image processing techniques, in...
Our research goal is to retarget image processing programs written in sequential languages (e.g., C) to architectures with data-parallel processing capabilities. Image processing ...
Lewis B. Baumstark Jr., Murat Guler, Linda M. Will...
The goal of this paper is to transfer image processing to vector fields and flow visualization by defining a suitable convolution operation. For this, a multiplication of vecto...