Jean-Marc Bost

Jean-Marc Bost
La Haute Ecole d'Ingénierie et de Gestion du Canton de Vaud | HEIG-VD · Department of Informatics and Telecoms (TIC)

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8
Publications
90
Reads
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155
Citations
Introduction
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Publications

Publications (8)
Article
This paper presents a general methodology for detecting the most pertinent primitives in an image and for filtering out information irrelevant for indexing. In particular, a quantitative assessment of the relevance of image primitives for recognition tasks is proposed. The fundamental idea is that each input image generates dataflows of tokens, i.e...
Article
In this paper an attention module is described, which can be used by an active vision system to generate gaze changes. This module is based on a bottom-up, feature-driven analysis of the image. The results are regions of the input image which contain strange features, i.e., locations of the most "interesting" and "important" information. The method...
Conference Paper
When computer vision algorithms are applied to autonomous robots, several dynamic aspects of perception must be taken into account. Among the most important ones is the capability to modify the image acquisition parameters, in order to perform ocular saccades, or to visually track moving objects. This ability is provided by the alerting and attenti...
Conference Paper
Active and selective perception seeks regions of interest in an image in order to reduce the computational complexity associated with time-consuming processes such as object recognition. We describe in this paper a visual attention system that extracts regions of interest by integrating multiple image cues. Bottom-up cues are detected by decomposin...
Conference Paper
A recent trend in model-based object recognition is to build efficient systems for primary hypotheses generation. These systems, also called visual indexing, rely on the assumption that object identification can be performed by recovering local invariants. However, reliable and significant local features are difficult to retrieve when the image bac...
Conference Paper
In this paper we propose a new architecture for a general-purpose computer vision system whose design principles have been inspired by the study of human vision. Two important components are an object recognition module and a focus of attention module, respectively called what and where subsystems. The what subsystem is implemented through a set of...

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