Frederic Fol Leymarie

Goldsmiths, University of London, Computing, Faculty Member

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I the late 1980's and early 1990's I was most of time attached to CIM at McGill University in Montreal, working on visual perception, biomedical imagery, and general AI
[http://www.cim.mcgill.ca/]
I also was a visiting researcher at the Mathematical Morphology Center, near Paris, in 1991 [http://cmm.ensmp.fr/]

From 1994 to 1998 I was project manager in the R&D dept. of the GIS (geographical information systems) activity of Thales (then Syseca), running various French and European projects using advanced imaging technologies.

From 1998 to 2004 I was with Brown University where I co-founded the SHAPE Laboratory, devoted to the study of digital modeling with applications to archaeology and cultural heritage
[http://www.lems.brown.edu/shape/]
I am still attached to the SHAPE Lab and hold a Visiting Professorship in Engineering at Brown since 2007.

In 2004, I crossed the Atlantic once more and joined Goldsmiths College part of the University of London, where I first initiated and ran a graduate program in Arts Computing until 2007. This MSc at the frontier of perception, realism, imagination and digital creativity has now become an MFA in computational Studio Arts. In 2008 I introduced together with William Latham a new MSC in Computer Games and Entertainment
[http://www.gamesgoldsmiths.com]
Together with William we are setting up an R&D university start-up company.

On the research front, I am developing a mathematical language for shape representation with potential for applications in various domains and industries, from the Arts and Performance areas to Biology, Medicine, Computer Aided Design (CAD), Architecture, etc.
[http://www.morpholingua.com]

Specialties:

2D/3D shape representation for analysis (e.g. CAD, perception, space syntax) and for modeling (e.g. animation, architecture, medicine).
[http://www.fredericfolleymarie.com]

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Papers by Frederic Fol Leymarie

Point-based medialness for 2D shape description and identification

by Prashant Aparajeya and Frederic Fol Leymarie

Multimedia Tools and Applications, 2016

We propose a perception-based medial point description of a natural form (2D: static or in articu... more We propose a perception-based medial point description of a natural form (2D: static or in articulated movement) as a framework for a shape representation which can then be efficiently used in biological species identification and matching tasks. Medialness is defined by adapting and refining a definition first proposed in the cognitive science literature when studying the visual attention of human subjects presented with articulated biological 2D forms in movement, such as horses, dogs and humans (walking, running). In particular, special loci of high medialness for the interior of a form in movement, referred to as “hot spots”, prove most attractive to the human perceptual system. We propose an algorithmic process to identify such hot spots. In this article we distinguish exterior from interior shape representation. We further augment hot spots with extremities of medialness ridges identifying significant concavities (from outside) and convexities (from inside). Our representation is strongly footed in results from cognitive psychology, but also inspired by know-how in art and animation, and the algorithmic part is influenced by techniques from more traditional computer vision. A robust shape matching algorithm is designed that finds the most relevant targets from a database of templates by comparing feature points in a scale, rotation and translation invariant way. The performance of our method has been tested on several databases. The robustness of the algorithm is further tested by perturbing the data-set at different levels.

Medialness and the Perception of Visual Art

by Frederic Fol Leymarie and Prashant Aparajeya

In this article we explore the practical use of medialness informed by perception studies as a re... more In this article we explore the practical use of medialness informed by perception studies as a representation and processing layer for describing a class of works of visual art. Our focus is towards the description of 2D objects in visual art, such as found in drawings, paintings, calligraphy, graffiti writing, where approximate boundaries or lines delimit regions associated to recognizable objects or their constitutive parts. We motivate this exploration on the one hand by considering how ideas emerging from the visual arts, cartoon animation and general drawing practice point towards the likely importance of medialness in guiding the interaction of the traditionally trained artist with the artifact. On the other hand, we also consider recent studies and results in cognitive science which point in similar directions in emphasizing the likely importance of medialness, an extension of the abstract mathematical representation known as 'medial axis' or 'Voronoi graphs', as a core feature used by humans in perceiving shapes in static or dynamic scenarios. We illustrate the use of medialness in computations performed with finished artworks as well as artworks in the process of being created, modified, or evolved through iterations. Such computations may be used to guide an artificial arm in duplicating the human creative performance or used to study in greater depth the finished artworks. Our implementations represent a prototyping of such applications of computing to art analysis and creation and remain exploratory. Our method also provides a possible framework to compare similar artworks or to study iterations in the process of producing a final preferred depiction, as selected by the artist. Available in Open Access from the publisher (Brill): http://booksandjournals.brillonline.com/content/journals/10.1163/22134913-00002064

The Diasynchronoscope Project: Investigations in Screen-less Apparent Motion

by Frederic Fol Leymarie, Carol MacGillivray, and Bruno Mathez

Proceedings of EVA (Electronic Visualisation and the Arts) 2013

Situating enactive processes or placing the observer back in the scene: a case for the empirical study of perception

by Etienne Roesch, Carol MacGillivray, and Frederic Fol Leymarie

Frederic Fol Leymarie

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