Robust correspondenceless 3-D iris location for immersive environments

Emanuele Trucco, Tom Anderson, Marco Razeto, Spela Ivekovic

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We present a system locating the contour of an iris in space using robust active ellipse search and correspondenceless stereo. Robust iris location is the basis for gaze estimation and tracking, and, as such, an essential module for augmented and virtual reality environments, The system implements a robust active ellipse search based on a multi-scale contour detection model. The search is carried out by a simulated annealing algorithm, guaranteeing excellent performance in spite of heavy occlusions due to blinking, uncontrolled lighting, erratic target motion, and reflections of unpredictable scene elements. Stereo correspondence is avoided altogether by intersecting conjugate epipolar lines with the located ellipses. Experiments on synthetic and real images indicate very good performance of both location and reconstruction modules. © Springer-Verlag Berlin Heidelberg 2006.

Original languageEnglish
Title of host publicationImage Analysis and Processing - ICIAP 2005, 13th International Conference, Proceedings
Pages123-130
Number of pages8
Volume3617 LNCS
DOIs
Publication statusPublished - 2005
Event13th International Conference on Image Analysis and Processing - Cagliari, Italy
Duration: 6 Sep 20058 Sep 2005

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3617 LNCS
ISSN (Print)0302-9743

Conference

Conference13th International Conference on Image Analysis and Processing
Abbreviated titleICIAP 2005
CountryItaly
CityCagliari
Period6/09/058/09/05

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    Trucco, E., Anderson, T., Razeto, M., & Ivekovic, S. (2005). Robust correspondenceless 3-D iris location for immersive environments. In Image Analysis and Processing - ICIAP 2005, 13th International Conference, Proceedings (Vol. 3617 LNCS, pp. 123-130). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3617 LNCS). https://doi.org/10.1007/11553595_15