Uncertainty Propagation in Model-Based Recognition

Building robust recognition systems requires a careful understanding of the effects of error in sensed features. Error in these image features results in a region of uncertainty in the possible image location of each additional model feature. We present an accurate, analytic approximation for this uncertainty region when model poses are based on matching three image and model points, for both Gaussian and bounded error in the detection of image points, and for both scaled-orthographic and perspective projection models. This result applies to objects that are fully three- dimensional, where past results considered only two-dimensional objects. Further, we introduce a linear programming algorithm to compute the uncertainty region when poses are based on any number of initial matches. Finally, we use these results to extend, from two-dimensional to three- dimensional objects, robust implementations of alignmentt interpretation- tree search, and ransformation clustering.

Geometric Aspects of Visual Object Recognition

This thesis presents there important results in visual object recognition based on shape. (1) A new algorithm (RAST; Recognition by Adaptive Sudivisions of Tranformation space) is presented that has lower average-case complexity than any known recognition algorithm. (2) It is shown, both theoretically and empirically, that representing 3D objects as collections of 2D views (the "View-Based Approximation") is feasible and affects the reliability of 3D recognition systems no more than other commonly made approximations. (3) The problem of recognition in cluttered scenes is considered from a Bayesian perspective; the commonly-used "bounded-error errorsmeasure" is demonstrated to correspond to an independence assumption. It is shown that by modeling the statistical properties of real-scenes better, objects can be recognized more reliably.

Learning Three-Dimensional Shape Models for Sketch Recognition

Artifacts made by humans, such as items of furniture and houses, exhibit an enormous amount of variability in shape. In this paper, we concentrate on models of the shapes of objects that are made up of fixed collections of sub-parts whose dimensions and spatial arrangement exhibit variation. Our goals are: to learn these models from data and to use them for recognition. Our emphasis is on learning and recognition from three-dimensional data, to test the basic shape-modeling methodology. In this paper we also demonstrate how to use models learned in three dimensions for recognition of two-dimensional sketches of objects.

ROC parameters in item and context recognition. 'Par??metros ROC en el reconocimiento de items y contextos'

Resumen tomado de la publicaci??n. Resumen tambi??n en ingl??s

Use of decision trees in colour feature selection: application to object recognition in outdoor scenes

A new method for the automated selection of colour features is described. The algorithm consists of two stages of processing. In the first, a complete set of colour features is calculated for every object of interest in an image. In the second stage, each object is mapped into several n-dimensional feature spaces in order to select the feature set with the smallest variables able to discriminate the remaining objects. The evaluation of the discrimination power for each concrete subset of features is performed by means of decision trees composed of linear discrimination functions. This method can provide valuable help in outdoor scene analysis where no colour space has been demonstrated as being the most suitable. Experiment results recognizing objects in outdoor scenes are reported

Model-based objects recognition in industrial environments for autonomous vehicles control

Behavior-based navigation of autonomous vehicles requires the recognition of the navigable areas and the potential obstacles. In this paper we describe a model-based objects recognition system which is part of an image interpretation system intended to assist the navigation of autonomous vehicles that operate in industrial environments. The recognition system integrates color, shape and texture information together with the location of the vanishing point. The recognition process starts from some prior scene knowledge, that is, a generic model of the expected scene and the potential objects. The recognition system constitutes an approach where different low-level vision techniques extract a multitude of image descriptors which are then analyzed using a rule-based reasoning system to interpret the image content. This system has been implemented using a rule-based cooperative expert system

Model-based objects recognition in man-made environments

We describe a model-based objects recognition system which is part of an image interpretation system intended to assist autonomous vehicles navigation. The system is intended to operate in man-made environments. Behavior-based navigation of autonomous vehicles involves the recognition of navigable areas and the potential obstacles. The recognition system integrates color, shape and texture information together with the location of the vanishing point. The recognition process starts from some prior scene knowledge, that is, a generic model of the expected scene and the potential objects. The recognition system constitutes an approach where different low-level vision techniques extract a multitude of image descriptors which are then analyzed using a rule-based reasoning system to interpret the image content. This system has been implemented using CEES, the C++ embedded expert system shell developed in the Systems Engineering and Automatic Control Laboratory (University of Girona) as a specific rule-based problem solving tool. It has been especially conceived for supporting cooperative expert systems, and uses the object oriented programming paradigm

A new approach to real time traffic sign recognition based on colour information

The automatic interpretation of conventional traffic signs is very complex and time consuming. The paper concerns an automatic warning system for driving assistance. It does not interpret the standard traffic signs on the roadside; the proposal is to incorporate into the existing signs another type of traffic sign whose information will be more easily interpreted by a processor. The type of information to be added is profuse and therefore the most important object is the robustness of the system. The basic proposal of this new philosophy is that the co-pilot system for automatic warning and driving assistance can interpret with greater ease the information contained in the new sign, whilst the human driver only has to interpret the "classic" sign. One of the codings that has been tested with good results and which seems to us easy to implement is that which has a rectangular shape and 4 vertical bars of different colours. The size of these signs is equivalent to the size of the conventional signs (approximately 0.4 m2). The colour information from the sign can be easily interpreted by the proposed processor and the interpretation is much easier and quicker than the information shown by the pictographs of the classic signs

Descripción de modelos de mediación comunitaria. El campesino del Alto Sumapaz, el modelo relacional simbólico y el jurídico institucional

La descripción de procesos sociales es una de las opciones más significativas para que desde los ejercicios académicos se puedan desarrollar investigaciones. En el presente trabajo el autor desde las herramientas conceptuales, procedimentales, metodológicas y sociojurídicas realizó el análisis de dos modelos de mediación como mecanismos para tratar conflictos comunitarios. Por un lado el Modelo Relacional Simbólico (MRS), de otro el modelo de mediación comunitaria campesina (MMCC) que históricamente ha existido en la Región Rural del Alto Sumapaz. Del anterior análisis se pudo establecer un diálogo que permitió concluir que los dos modelos son procedimientos que han evolucionado en contextos tan diferentes como complejos. Su implementación antes que replicarla es necesario estudiarla más en profundidad desde cada uno de sus contextos, sin la intención fundamental de incidir sobre los mismos y mucho menos sobre los campos específicos en donde coexistes socialmente. La reconstrucción del discurso sumapaceño como eje central de la investigación giró en torno al reconocimiento y exaltación de los elementos y principios fundamentales del modelo de mediación campesina. Esto se pudo construir a partir de entrevistas y desde el diseño cualitativo de un grupo de discusión que dio cuenta del sistema de justicia alternativa existente. Finalmente, el estudio académico durante la Maestría en Mediación Familiar y Comunitaria, permitió hallar diferentes construcciones argumentativas que para la presente investigación lograron aportar elementos críticos en campos como los mecanismos alternativos de transformación de conflictos, la justicia comunitaria, el pluralismo jurídico, la mediación y por supuesto al modelo relacional simbólico (MRS).

Professional Recognition of Educator Practice Framework Handbook

UoS CPD Framework route

Acción de organizaciones no gubernamentales frente a las semillas genéticamente modificadas en Colombia

Los efectos ambientales, económicos, sociales y culturales generados por las Semillas Genéticamente Modificadas-SGM y su control por empresas transnacionales como Monsanto, han incentivado la acción colectiva liderada por ONGs, tanto internacionalmente como en Colombia. El objetivo principal es analizar cómo la ONG “Semillas” ha incidido en las políticas colombianas relacionadas con la introducción y uso de SGM durante el periodo 2002-2013. Se centra en la Teoría de Redes Transnacionales de Defensa expuesta por M. Keck y K. Sikkink (1998). Además, se analiza el papel de las ONGs ambientales y las corporaciones transnacionales. El argumento central es que al crear vínculos con actores nacionales e internacionales y vincularse con redes y campañas con impacto transnacional, “Semillas” ha posicionado la lucha en contra de las SGM y ha logrado presionar al Estado influyendo parcialmente en sus políticas y leyes, al igual que en su posición y discurso frente al uso de SGM.

The recognition of rights to same-sex couples: the path towards a pluralistic concept of family

This paper presents the final results of the research project undertaken in 2010 and 2011 by the legal research group “Filius”, affiliated with Corporación Universitaria Empresarial Alexander von Humboldt of Armenia, (Quindío). The project’s general objective is “to establish the concept of family used by the Colombian legal system based on the judgments of the Constitutional Court granting rights to same-sex couples”. To this end, a line of jurisprudence was developed from the Court’s rulings that discussed the rights of same-sex couples, concluding that despite the great progress made in Colombia on the recognition of rights to these couples following Decision C-075/2007, in all these judgments the Court had always refused to recognize their family status, and it was not until 2011, in Decision C-577, that the Court accepted that same-sex couples constitute a family, thereby dramatically changing the constitutional doctrine that had maintained the criteria of heterosexuality as defining family.

Fundamental Right to Freedom of Conscience without Objection? Some Notes for its Recognition as a Fundamental Guarantee

Conscientious objection is defined as the ability to depart from statutory mandates because of intimate convictions based on ethical or religious convictions. A discussion of this issue presents the conflict between the idea of a State concerned with the promotion of individual rights or the protection of general interests and an idea of law based on the maintenance of order and against a view of the law as a means to claim the protection of minimum conditions of the person. From this conflict is drawn the possibility to argue whether conscientious objection should be guaranteed as a fundamental right of freedom of conscience or as a statutory authority legislatively conferred upon persons. This paper sets out a discussion around the two views so as to develop a position that is more consistent with the context of social and constitutional law.

Recognition of static and dynamic facial expressions: Influences of sex, type and intensity of emotion

Ecological validity of static and intense facial expressions in emotional recognition has been questioned. Recent studies have recommended the use of facial stimuli more compatible to the natural conditions of social interaction, which involves motion and variations in emotional intensity. In this study, we compared the recognition of static and dynamic facial expressions of happiness, fear, anger and sadness, presented in four emotional intensities (25 %, 50 %, 75 % and 100 %). Twenty volunteers (9 women and 11 men), aged between 19 and 31 years, took part in the study. The experiment consisted of two sessions in which participants had to identify the emotion of static (photographs) and dynamic (videos) displays of facial expressions on the computer screen. The mean accuracy was submitted to an Anova for repeated measures of model: 2 sexes x [2 conditions x 4 expressions x 4 intensities]. We observed an advantage for the recognition of dynamic expressions of happiness and fear compared to the static stimuli (p < .05). Analysis of interactions showed that expressions with intensity of 25 % were better recognized in the dynamic condition (p < .05). The addition of motion contributes to improve recognition especially in male participants (p < .05). We concluded that the effect of the motion varies as a function of the type of emotion, intensity of the expression and sex of the participant. These results support the hypothesis that dynamic stimuli have more ecological validity and are more appropriate to the research with emotions.