Data clustering: 50 years beyond K-means
Organizing data into sensible groupings is one of the most fundamental modes of understanding and learning. As an example, a common scheme of scientific classification puts organisms into a system of ranked taxa: domain, kingdom, phylum, class, etc. ...
Learning explicit and implicit visual manifolds by information projection
Natural images have a vast amount of visual patterns distributed in a wide spectrum of subspaces of varying complexities and dimensions. Understanding the characteristics of these subspaces and their compositional structures is of fundamental importance ...
Critical line-set configurations to epipolar geometry determination and application to image line transfer
We address the issue of what linear line structures in space constitute critical configuration to three generally positioned cameras. By critical configuration we mean a set of lines in space whose image projections to the cameras do not allow unique ...
Recovery of audio-to-video synchronization through analysis of cross-modality correlation
Audio-to-video synchronization (AV-sync) may drift and is difficult to recover without time-consuming efforts. Based on analysis of audiovisual correlations, we developed a method of recovering drifted AV-sync in a video clip with only minor human ...
Novel Gaussianized vector representation for improved natural scene categorization
We present a novel Gaussianized vector representation for scene images by an unsupervised approach. Each image is first encoded as an ensemble of orderless bag of features. A global Gaussian Mixture Model (GMM) learned from all images is then used to ...
Geometrically local isotropic independence and numerical analysis of the Mahalanobis metric in vector space
The Mahalanobis metric was proposed by extending the Mahalanobis distance to provide a probabilistic distance for a non-normal distribution. The Mahalanobis metric equation is a nonlinear second order differential equation derived from the geometrically ...
Prediction of eigenvalues and regularization of eigenfeatures for human face verification
We present a prediction and regularization strategy for alleviating the conventional problems of LDA and its variants. A procedure is proposed for predicting eigenvalues using few reliable eigenvalues from the range space. Entire eigenspectrum is ...
An evaluation of direct attacks using fake fingers generated from ISO templates
- Javier Galbally,
- Raffaele Cappelli,
- Alessandra Lumini,
- Guillermo Gonzalez-de-Rivera,
- Davide Maltoni,
- Julian Fierrez,
- Javier Ortega-Garcia,
- Dario Maio
This work reports a vulnerability evaluation of a highly competitive ISO matcher to direct attacks carried out with fake fingers generated from ISO templates. Experiments are carried out on a fingerprint database acquired in a real-life scenario and ...
A hybrid biometric cryptosystem for securing fingerprint minutiae templates
Security concerns regarding the stored biometric data is impeding the widespread public acceptance of biometric technology. Though a number of bio-crypto algorithms have been proposed, they have limited practical applicability due to the trade-off ...
Unsupervised writer adaptation of whole-word HMMs with application to word-spotting
In this paper we propose a novel approach for writer adaptation in a handwritten word-spotting task. The method exploits the fact that the semi-continuous hidden Markov model separates the word model parameters into (i) a codebook of shapes and (ii) a ...
Context information from search engines for document recognition
In this work we propose the use of contextual information provided by web search engine queries for improving text recognition performance. We first describe a framework for automated text recognition from images. It is based on detecting text areas in ...
Segmentation of complex nucleus configurations in biological images
This paper presents a new segmentation method of complex nucleus configurations. The specificity of this work is to introduce prior information about the usual shape of cells nuclei, in order to optimize the selection of markers from which the flooding ...
Blood vessel segmentation using multi-scale quadrature filtering
The segmentation of blood vessels is a common problem in medical imaging and various applications are found in diagnostics, surgical planning, training and more. Among many different techniques, the use of multiple scales and line detectors is a popular ...