Geoffroy Fouquier

Local reasoning in fuzzy attribute graphs for optimizing sequential segmentation

By Geoffroy Fouquier, Jamal Atif, Isabelle Bloch

2007-02-15

In Proceedings of the 6th IAPR TC-15 workshop on graph-based representations in pattern recognition (GBR)

Abstract

Spatial relations play a crucial role in model-based image recognition and interpretation due to their stability compared to many other image appearance characteristics. Graphs are well adapted to represent such information. Sequential methods for knowledge-based recognition of structures require to define in which order the structures have to be recognized. We propose to address this problem of order definition by developing algorithms that automatically deduce sequential segmentation paths from fuzzy spatial attribute graphs. As an illustration, these algorithms are applied on brain image understanding.

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The biosecure geometry-based system for hand modality

By Geoffroy Fouquier, Laurence Likforman, Jérôme Darbon, Bulent Sankur

2006-12-18

In Proceedings of the 32nd IEEE international conference on acoustics, speech, and signal processing (ICASSP)

Abstract

We present an identification and authentification system based on hand modality which is part of a reference system for all modalities developed within the Biosecure consortium. It relies on simple geometric features extracted from hand boundary. The different steps of this system are detailed, namely: pre-processing, feature extraction and hand matching. This system has been tested on the Biosecure hand database which consists of 4500 hand images of 750 individuals. Results are detailed with respect to different enrolment conditions such as population size, enrolment size, and image resolution.

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Document type recognition using evidence theory

By Thierry Géraud, Geoffroy Fouquier, Quoc Peyrot, Nicolas Lucas, Franck Signorile

2003-04-29

In Proceedings of the 5th IAPR international workshop on graphics recognition (GREC)

Abstract

This paper presents a method to recognize the type of a document when a database of models (document types) is given. For instance, when every documents are forms and when we know every different types of forms, we want to be able to assign to an input document its type of form. To that aim, we define each model by a set of characteristics whose nature can vary from one to another. For instance, a characteristic can be having a flower-shaped logo on top-left as well as having about 12pt fonts. This paper does not intent to explain how to extract such knowledge from documents but it describes how to use such information to decide what the type of a given document is when different document types are described by characteristics.

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Visualization issues in virtual environments: From computer graphics techniques to intentional visualization

By Alexis Angelidis, Geoffroy Fouquier

2001-02-01

In Proceedings of the 9th international conference in central europe on computer graphics, visualization and computer vision (WSCG)

Abstract

Rendering efficiently large virtual environment scenes composed of many elements, dynamic objects, and a highly moving viewpoint is a major issue. This paper focuses on the first of the two viewing stage operations: required elements determination, the second being shading/filtering. We propose a classification, extending the existing computer graphic techniques toward display scalability requirements, that distinguishes two key points: keeping only required elements (culling), and keeping only required details (which includes traditional LODs). The mechanisms needed for display scalability are presented.

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