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Research and innovation
Message from the Director
The Laboratory for Imagery, Vision and Artificial Intelligence (LIVIA) has just completed the sixth year of its fourth mandate as an accredited ETS laboratory. LIVIA's activities align with the research direction of the
(IT), the strategic research plan of ÉTS and the
minor of the 2nd cycle programs of the automated production department.
The unifying theme of the LIVIA research team lies in the field of
visual perception of 2D and 3D scenes
, as well as elements of artificial intelligence (the use of a priori knowledge, context, intelligent control and inspection, interpretation, and other machine vision concepts). The laboratory’s scientific orientation around the key foundations of « i
mage processing, analysis and interpretation
» is illustrated by modeling, methodology and application studies. These considerations account for the laboratory’s structure and its evolution. Within this context, the following six priority axes have undergone sustained development over the years: i) Machine vision, ii) automatic image processing of documents, iii) imaging (medical, satellite images, etc.), iv) biometrics, surveillance and intrusion detection, v) learning in static and dynamic environments and vi) perception and environment.
In 2013-2014, more than
53 graduated students
and two (2) international interns were affiliated with LIVIA. Four (4) master’s memoirs, three (3) doctoral theses, and one (1) post-doctoral internship have been completed. The
graduates have integrated academic or professional life and some of them now have responsibilities matching the scientific expertise acquired during their LIVIA training. Regarding the scientific production,
64 peer reviewed articles
(journals, national and international conferences) have been published and presented this year. Moreover, LIVIA members have been very active on the international scene and significantly contributed to raising the ÉTS’ profile by organizing conferences.
2013-2014 was also characterized by a link with the industrial partners (BancTec, Purelink and Effigis), with an emphasis on in-company training of highly qualified master and doctorate level employees. In particular, let us emphasize the collaborative work carried out under the NSERC-CRD-Effigis grant obtained by Richard Lepage, and NSERC-CRD Purelink grant obtained by Christian Desrosiers and Robert Sabourin.
In addition to the participation of LIVIA members to high-level international conferences, several international collaborations are underway with partners in Brazil, India, Italy, France, Ecuador and the United States. In particular, let us emphasize the research conducted under the MDEIE grand obtained by Eric Granger et al, and Vincent Duchaine and colleagues. A new collaboration has also been initiated by Christian Desrosiers with the Universidad Tecnica Particular de Loja (UTPL) during this year.
In scientific terms,
the issue of surveillance
, has attracted the interest of several members of LIVIA. More specifically, Robert Sabourin has been named the chair of institutional research for
the study of adaptive and scalable monitoring systems in dynamic environments
. Also, Eric Granger is involoved in a project with the Canada Border Services Agency (CBSA) and Face4 Systems on face recognition systems in video surveillance.
Sabourin, Granger, Desrosiers and Laporte
(strategic group for the study of distributed intelligent shared environments). In April 2013, RÉPARTI has obtained a renewal of the research funds for the next six years from FRQNT. In addition, professors Desrosiers (2013-2015), Duchaine (2010-2012) and Laporte (2012-2014) have received the FRQNT - New University Researchers Start-up grant.
has been granted the
excellence in research
award by the ÉTS board in March 2014.
Congratulations for the success within LIVIA!
Finally, all the achievements of members of LIVIA show the vitality and relevance of the work done in our research laboratory. The association of professors from
(GPA, ÉLÉ and LogTI) within LIVIA is driven by a mutual desire to share expertise in artificial intelligence in order to solve problems related to, among other things, machine vision, pattern recognition and learning.