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Ernest Hirsch
Centre national de la recherche scientifique
19Publications
6H-index
220Citations
Publications 19
Newest
#1Ammar Hannachi (CNRS: Centre national de la recherche scientifique)H-Index: 1
#2Sophie KohlerH-Index: 3
Last.Ernest Hirsch (CNRS: Centre national de la recherche scientifique)H-Index: 6
view all 4 authors...
3D modeling of scene contents takes an increasing importance for many computer vision based applications. In particular, industrial applications of computer vision require efficient tools for the computation of this 3D information. Routinely, stereo-vision is a powerful technique to obtain the 3D outline of imaged objects from the corresponding 2D images. As a consequence, this approach provides only a poor and partial description of the scene contents. On another hand, for structured light base...
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#1Ammar Hannachi (CNRS: Centre national de la recherche scientifique)H-Index: 1
#2Sophie KohlerH-Index: 3
Last.Ernest Hirsch (CNRS: Centre national de la recherche scientifique)H-Index: 6
view all 4 authors...
In this paper, the problem of multi-sensor data fusion for 3D dimensional reconstruction/assessment of manufactured parts is investigated. For this, a method relying on cooperation of two acquisition/processing techniques (stereoscopic and structured light sensors) is presented. The stereoscopic system reconstructs the outline of the object, whereas the structured light system represents the workpiece as points that characterize its 3D surfaces. The developed approach exploits the complementarit...
1 CitationsSource
#1Abdelkrim Belhaoua (CNRS: Centre national de la recherche scientifique)
#2Sophie KohlerH-Index: 3
Last.Ernest Hirsch (CNRS: Centre national de la recherche scientifique)H-Index: 6
view all 3 authors...
Accuracy of 3D vision-based reconstruction tasks depends both on the complexity of analyzed objects and on good viewing / illumination conditions, ensuring image quality and minimizing consequently measurement errors after processing of acquired images. In this contribution, as a complement to an autonomous cognitive vision system automating 3D reconstruction and using Situation Graph Trees (SGTs) as a planning / control tool, these graphs are optimized in two steps. The first (off-line) step ad...
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#1Sophie Kohler (CNRS: Centre national de la recherche scientifique)
#2Aïcha Beya Far (CNRS: Centre national de la recherche scientifique)
Last.Ernest Hirsch (CNRS: Centre national de la recherche scientifique)H-Index: 6
view all 3 authors...
ABSTRACT This paper presents an original approach for the optimal 3D reconstruction of manufactured workpieces based on a priori planification of the task, enhanced on-line through dynamic adjustment of the lighting conditions, and built around a cognitive intelligent sensory system using so-called Situation Graph Trees. The system takes explicitely structural knowledge related to image acquisition conditions, type of illumination sources, contents of the scene ( e. g., CAD models and tolerance ...
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#1Romain Roux (CNRS: Centre national de la recherche scientifique)
#2Jihad Zallat (CNRS: Centre national de la recherche scientifique)H-Index: 4
Last.Ernest Hirsch (CNRS: Centre national de la recherche scientifique)H-Index: 6
view all 4 authors...
In the field of computer vision, specifically for applications aiming at the accurate 3D reconstruction of either natural or hand-made objects, only a few methods are able to recover the shape of transparent objects. Among these, polarimetric imagery has already proved its ability to deal with such objects. In this paper, after a short presentation of the theoretical background leading to the proposed approach for recovering the shape of transparent surfaces, various processing techniques for po...
New 5-amino-N-(substituted phenyl)-1,3-disubstituted-1H-pyrazole-4-carboxamides useful as anticonvulsant agents for treating warm-blooded animals are disclosed. Also disclosed are intermediates and methods for preparing the new compounds and methods for using the new compounds.
#1Redouane Khemmar (École nationale supérieure de physique de Strasbourg)
#2Alex Lallement (École nationale supérieure de physique de Strasbourg)H-Index: 1
Last.Ernest Hirsch (École nationale supérieure de physique de Strasbourg)H-Index: 6
view all 3 authors...
In the field of image processing, the complete implementation of segmentation procedures, in order for example to delineate automatically regions of interest in images, requires usually adjusting various parameters, which interfere each with the others. Analysis of all the possible combinations is cumbersome and time consuming. Moreover, settings obtained should remain valid for families of images of the same type. In this paper, in view of the accurate delineation of an object out of gray level...
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#1Alex Lallement (CNRS: Centre national de la recherche scientifique)H-Index: 1
#2Redouane Khemmar (CNRS: Centre national de la recherche scientifique)H-Index: 1
Last.Ernest Hirsch (CNRS: Centre national de la recherche scientifique)H-Index: 6
view all 3 authors...
Industrial applications of computer vision, such as dimensional inspection, require, among other things, making automated procedures available for the analysis of gray-level image to derive application-dependent 3-D descriptions of their contents. In view of the quantitative 3-D reconstruction of an imaged object and to fully automate the evaluation process, we describe two segmentation and interpretation methods for the automated delineation of regions of interest belonging to the object and as...
2 CitationsSource
#1Alex LallementH-Index: 1
#2Pierre GraeblingH-Index: 6
Last.Ernest HirschH-Index: 6
view all 3 authors...
In this paper, we describe a segmentation and interpretation method for the automated delineation of regions of interest, belonging to an object, out of gray level images, in view of the quantitative 3D reconstruction of an imaged object. The proposed approach is part of a three dimensional vision based on-line inspection system. Results on images of manufactured parts acquired under realistic acquisition conditions illustrate the approach.
1 CitationsSource
#1Sophie Kohler (University of Burgundy)H-Index: 3
#2Ernest HirschH-Index: 6
This paper presents an original approach for a vision-based quality control system, built around a cognitive intelligent sensory system. The principle of the approach relies on two steps. First, a so-called initialization phase leads to structural knowledge on image acquisition conditions, type of illumination sources, etc. Second, the image is iteratively evaluated using this knowledge and complementary information (e.g., CAD models, and tolerance information). Finally, the information describi...
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