An integrated framework for combining gist vision with object segregation categorisation and recognition

There are roughly two processing systems: (1) very fast gist vision of entire scenes, completely bottom-up and data driven, and (2) Focus-of-Attention (FoA) with sequential screening of specific image regions and objects. The latter system has to be sequential because unnormalised input objects must be matched against normalised templates of canonical object views stored in memory, which involves dynamic routing of features in the visual pathways.

Cortical object segregation and categorization by multi-scale line and edge coding

In this paper we present an improved scheme for line and edge detection in cortical area V1, based on responses of simple and complex cells, truly multi-scale with no free parameters. We illustrate the multi-scale representation for visual reconstruction, and show how object segregation can be achieved with coarse-to-finescale groupings. A two-level object categorization scenario is tested in which pre-categorization is based on coarse scales only, and final categorization on coarse plus fine scales. Processing schemes are discussed in the framework of a complete cortical architecture.

Multi-scale keypoint hierarchy for Focus-of-Attention and object detection

Hypercolumns in area V1 contain frequency- and orientation-selective simple and complex cells for line (bar) and edge coding, plus end-stopped cells for key- point (vertex) detection. A single-scale (single-frequency) mathematical model of single and double end-stopped cells on the basis of Gabor filter responses was developed by Heitger et al. (1992 Vision Research 32 963-981). We developed an improved model by stabilising keypoint detection over neighbouring micro- scales.

Invariant multi-scale object categorisation and recognition

Object recognition requires that templates with canonical views are stored in memory. Such templates must somehow be normalised. In this paper we present a novel method for obtaining 2D translation, rotation and size invariance. Cortical simple, complex and end-stopped cells provide multi-scale maps of lines, edges and keypoints. These maps are combined such that objects are characterised. Dynamic routing in neighbouring neural layers allows feature maps of input objects and stored templates to converge. We illustrate the construction of group templates and the invariance method for object categorisation and recognition in the context of a cortical architecture, which can be applied in computer vision.

Multi-scale lines and edges in V1 and beyond: brightness, object categorization and recognition, and consciousness

In this paper we present an improved model for line and edge detection in cortical area V1. This model is based on responses of simple and complex cells, and it is multi-scale with no free parameters. We illustrate the use of the multi-scale line/edge representation in different processes: visual reconstruction or brightness perception, automatic scale selection and object segregation. A two-level object categorization scenario is tested in which pre-categorization is based on coarse scales only and final categorization on coarse plus fine scales. We also present a multi-scale object and face recognition model. Processing schemes are discussed in the framework of a complete cortical architecture. The fact that brightness perception and object recognition may be based on the same symbolic image representation is an indication that the entire (visual) cortex is involved in consciousness.

Cortical 3D face and object recognition using 2D projections

Empirical studies concerning face recognition suggest that faces may be stored in memory by a few canonical representations. In cortical area V1 exist double-opponent colour blobs, also simple, complex and end-stopped cells which provide input for a multiscale line/edge representation, keypoints for dynamic feature routine, and saliency maps for Focus-of-Attention.

Local object gist: meaningful shapes and spatial layout at a very early stage of visual processing

In his introduction, Pinna (2010) quoted one of Wertheimer’s observations: “I stand at the window and see a house, trees, sky. Theoretically I might say there were 327 brightnesses and nuances of color. Do I have ‘327’? No. I have sky, house, and trees.” This seems quite remarkable, for Max Wertheimer, together with Kurt Koffka and Wolfgang Koehler, was a pioneer of Gestalt Theory: perceptual organisation was tackled considering grouping rules of line and edge elements in relation to figure-ground segregation, i.e., a meaningful object (the figure) as perceived against a complex background (the ground). At the lowest level – line and edge elements – Wertheimer (1923) himself formulated grouping principles on the basis of proximity, good continuation, convexity, symmetry and, often forgotten, past experience of the observer. Rubin (1921) formulated rules for figure-ground segregation using surroundedness, size and orientation, but also convexity and symmetry. Almost a century of research into Gestalt later, Pinna and Reeves (2006) introduced the notion of figurality, meant to represent the integrated set of properties of visual objects, from the principles of grouping and figure-ground to the colour and volume of objects with shading. Pinna, in 2010, went one important step further and studied perceptual meaning, i.e., the interpretation of complex figures on the basis of past experience of the observer. Re-establishing a link to Wertheimer’s rule about past experience, he formulated five propositions, three definitions and seven properties on the basis of observations made on graphically manipulated patterns. For example, he introduced the illusion of meaning by comics-like elements suggesting wind, therefore inducing a learned interpretation. His last figure shows a regular array of squares but with irregular positions on the right side. This pile of (ir)regular squares can be interpreted as the result of an earthquake which destroyed part of an apartment block. This is much more intuitive, direct and economic than describing the complexity of the array of squares.

Discussions sur les genres des québécoises de la génération X parlent d'autofiction au féminin

Ce mémoire porte sur la réception, par des lectrices de la génération X, de cinq oeuvres autofictionnelles écrites par les auteures québécoises Marie-Sissi Labrèche ( Borderline 2000 et La brèche 2003), Nelly Arcan (Putain 2001 et Folle 2004) et Mélikah Abdelmoumen (Le dégoût du bonheur 2001), lesquelles appartiennent à cette même génération. Leurs récits ont suscité un certain engouement public et obtenu un écho considérable dans la sphère médiatique et dans le milieu de la recherche universitaire. Les observateurs notent, de façon générale, que les narratrices autodiégétiques, alter ego des auteures, sont brutalement imparfaites, névrosées, mal dans leur peau, sexuellement soumises, assujetties aux désirs des hommes, et qu'elles ne parviennent pas à s'épanouir comme êtres humains, mais surtout, comme femmes. D'une part, les héroïnes rompent avec les représentations largement véhiculées dans les médias et dans la littérature québécoise contemporaine. D'autre part, leur profil correspond aux discours populaires sur la génération X, fréquemment qualifiée de génération sacrifiée, désabusée. Ma recherche, exploratoire, se fonde sur quatre approches théoriques : théorie des genres littéraires, théories de la réception, études féministes et gender studies, sociologie des générations. J'ai tenu cinq entretiens collectifs auprès de seize Québécoises de la génération X. J'ai réuni ces lectrices, qui s'étaient d'elles-mêmes intéressées aux récits, en petits groupe [i.e. groupes] de trois ou quatre participantes. Le compte-rendu et l'analyse de leurs discussions m'ont permis d'observer la portée sociale des récits éminemment personnels de Labrèche, d'Arcan et d'Abdelmoumen. Une interrogation m'a habitée du début à la fin de ma démarche : pourquoi et comment ces récits"parlent-ils", intellectuellement et émotionnellement, aux lectrices de la génération X? Je dégage de mon analyse quelques hypothèses interprétatives. D'abord, les lectrices ont du mal à distinguer les auteures et les narratrices. Elles tendent à appréhender les récits autofictionnels comme des autobiographies et elles procèdent à une lecture littérale des oeuvres. Ensuite, plus de la moitié des lectrices s'identifient, à différents degrés, aux narratrices. Comme ces dernières, les participantes à ma recherche affirment qu'elles ressentent une certaine pression sociale liée aux normes de beauté et de féminité et à l'hypersexualisation de l'espace public. En cela, leurs positions se rapprochent de celles du courant féministe radical. Cependant, les lectrices refusent d'être cantonnées dans un rôle de victime. Elles reprochent aux narratrices de s'autodétruire. Les femmes doivent, selon les participantes, se responsabiliser et se montrer critiques envers les modèles qui leur sont offerts. Enfin, les lectrices reconnaissent dans les héroïnes certains traits associés à la génération X. Elles attribuent en partie la souffrance des narratrices au contexte social dans lequel ces dernières évoluent. Mais elles estiment que cette souffrance est surtout tributaire de carences familiales. Les discussions des lectrices reflètent en quelque sorte leur propre appartenance à la génération X. Ainsi, l'importance qu'elles accordent à la sphère privée, par rapport à la sphère publique, constitue une des particularités des X qui ressort clairement des entretiens. Par ailleurs, leurs observations sont teintées d'un certain individualisme. Bref, à la lumière de mes résultats, je conclus que les récits autofictionnels de Marie-Sissi Labrèche, de Nelly Arcan et de Mélikah Abdelmoumen ont une certaine portée sociale, mais que leur écho résonne davantage sur le plan individuel, chez les lectrices qui s'identifient personnellement aux narratrices. Cela dit, les participantes semblent toutes avoir été portées à se questionner et à réfléchir, pendant et après leur lecture, sur l'identité féminine dans la société actuelle.

Object segregation and local gist vision using low-level geometry

Multi-scale representations of lines, edges and keypoints on the basis of simple, complex and end-stopped cells can be used for object categorisation and recognition (Rodrigues and du Buf, 2009 BioSystems 95 206-226). These representations are complemented by saliency maps of colour, texture, disparity and motion information, which also serve to model extremely fast gist vision in parallel with object segregation. We present a low-level geometry model based on a single type of self-adjusting grouping cell, with a circular array of dendrites connected to edge cells located at several angles.

Object transportation by multiple mobile robots controlled by attractor dynamics: theory and implementation

Dynamical systems theory is used as a theoretical language and tool to design a distributed control architecture for teams of mobile robots, that must transport a large object and simultaneously avoid collisions with (either static or dynamic) obstacles. Here we demonstrate in simulations and implementations in real robots that it is possible to simplify the architectures presented in previous work and to extend the approach to teams of n robots. The robots have no prior knowledge of the environment. The motion of each robot is controlled by a time series of asymptotical stable states. The attractor dynamics permits the integration of information from various sources in a graded manner. As a result, the robots show a strikingly smooth an stable team behaviour.

Smart object for 3D interaction

This paper reports on the creation of an interface for 3D virtual environments, computer-aided design applications or computer games. Standard computer interfaces are bound to 2D surfaces, e.g., computer mouses, keyboards, touch pads or touch screens. The Smart Object is intended to provide the user with a 3D interface by using sensors that register movement (inertial measurement unit), touch (touch screen) and voice (microphone). The design and development process as well as the tests and results are presented in this paper. The Smart Object was developed by a team of four third-year engineering students from diverse scientific backgrounds and nationalities during one semester.

Limites no Cruzamento de Géneros: Documentário e Ficção

Trabalho de projeto apresentado à Escola Superior de Comunicação Social como parte dos requisitos para obtenção de grau de mestre em Audiovisual e Multimédia.

InfoAPP: um novo agregador de conteúdos informativos

Trabalho de projeto apresentado à Escola Superior de Comunicação Social como parte dos requisitos para obtenção de grau de mestre em Publicidade e Marketing.