J
Josef Bigun
Researcher at Halmstad University
Publications - 206
Citations - 7123
Josef Bigun is an academic researcher from Halmstad University. The author has contributed to research in topics: Biometrics & Iris recognition. The author has an hindex of 38, co-authored 202 publications receiving 6676 citations. Previous affiliations of Josef Bigun include École Polytechnique Fédérale de Lausanne & École Normale Supérieure.
Papers
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Journal ArticleDOI
Multidimensional orientation estimation with applications to texture analysis and optical flow
TL;DR: The theory is developed for the case when orientation computations are necessary at all local neighborhoods of the n-dimensional Euclidean space and a certainty measure, based on the error of the fit, is proposed.
Proceedings Article
Optimal Orientation Detection of Linear Symmetry
TL;DR: The problem of optimal detection of orientation in arbitrary neighborhoods is solved in the least squares sense and it is shown that this corresponds to fitting an axis in the Fourier domain of the n-dimensional neighborhood, the solution of which is a well known solution of a matrix eigenvalue problem.
Journal ArticleDOI
Real-Time Face Detection and Motion Analysis With Application in “Liveness” Assessment
TL;DR: A robust face detection technique along with mouth localization, processing every frame in real time (video rate), is presented and "liveness" verification barriers are proposed as applications for which a significant amount of computation is avoided when estimating motion.
Journal ArticleDOI
Face authentication with Gabor information on deformable graphs
TL;DR: The proposed elastic graph matching method applied to the authentication of human faces where candidates claim an identity that is to be checked compares favorably with two methods that require a prior geometric face normalization, namely the synergetic and eigenface approaches.
Journal ArticleDOI
A Comparative Study of Fingerprint Image-Quality Estimation Methods
Fernando Alonso-Fernandez,Julian Fierrez,Javier Ortega-Garcia,Joaquin Gonzalez-Rodriguez,H. Fronthaler,K. Kollreider,Josef Bigun +6 more
TL;DR: In this work, existing approaches for fingerprint image-quality estimation are reviewed, including the rationale behind the published measures and visual examples showing their behavior under different quality conditions, and a selection offinger image- quality estimation algorithms are tested.