Hierarchical Object Recognition Using Libraries of Parameterized Model Sub-Parts

This thesis describes the development of a model-based vision system that exploits hierarchies of both object structure and object scale. The focus of the research is to use these hierarchies to achieve robust recognition based on effective organization and indexing schemes for model libraries. The goal of the system is to recognize parameterized instances of non-rigid model objects contained in a large knowledge base despite the presence of noise and occlusion. Robustness is achieved by developing a system that can recognize viewed objects that are scaled or mirror-image instances of the known models or that contain components sub-parts with different relative scaling, rotation, or translation than in models. The approach taken in this thesis is to develop an object shape representation that incorporates a component sub-part hierarchy- to allow for efficient and correct indexing into an automatically generated model library as well as for relative parameterization among sub-parts, and a scale hierarchy- to allow for a general to specific recognition procedure. After analysis of the issues and inherent tradeoffs in the recognition process, a system is implemented using a representation based on significant contour curvature changes and a recognition engine based on geometric constraints of feature properties. Examples of the system's performance are given, followed by an analysis of the results. In conclusion, the system's benefits and limitations are presented.

Face Detection in Still Gray Images

We present a trainable system for detecting frontal and near-frontal views of faces in still gray images using Support Vector Machines (SVMs). We first consider the problem of detecting the whole face pattern by a single SVM classifer. In this context we compare different types of image features, present and evaluate a new method for reducing the number of features and discuss practical issues concerning the parameterization of SVMs and the selection of training data. The second part of the paper describes a component-based method for face detection consisting of a two-level hierarchy of SVM classifers. On the first level, component classifers independently detect components of a face, such as the eyes, the nose, and the mouth. On the second level, a single classifer checks if the geometrical configuration of the detected components in the image matches a geometrical model of a face.

Non-linear mechanical behavior of the elastomer polydimethylsiloxane (PDMS) used in the manufacture of microfluidic devices

Polydimethylsiloxane (PDMS) is the elastomer of choice to create a variety of microfluidic devices by soft lithography techniques (eg., [1], [2], [3], [4]). Accurate and reliable design, manufacture, and operation of microfluidic devices made from PDMS, require a detailed characterization of the deformation and failure behavior of the material. This paper discusses progress in a recently-initiated research project towards this goal. We have conducted large-deformation tension and compression experiments on traditional macroscale specimens, as well as microscale tension experiments on thin-film (≈ 50µm thickness) specimens of PDMS with varying ratios of monomer:curing agent (5:1, 10:1, 20:1). We find that the stress-stretch response of these materials shows significant variability, even for nominally identically prepared specimens. A non-linear, large-deformation rubber-elasticity model [5], [6] is applied to represent the behavior of PDMS. The constitutive model has been implemented in a finite-element program [7] to aid the design of microfluidic devices made from this material. As a first attempt towards the goal of estimating the non-linear material parameters for PDMS from indentation experiments, we have conducted micro-indentation experiments using a spherical indenter-tip, and carried out corresponding numerical simulations to verify how well the numerically-predicted P(load-h(depth of indentation) curves compare with the corresponding experimental measurements. The results are encouraging, and show the possibility of estimating the material parameters for PDMS from relatively simple micro-indentation experiments, and corresponding numerical simulations.

Bubble Behavior in a Taylor Vortex

We present an experimental study on the behavior of bubbles captured in a Taylor vortex. The gap between a rotating inner cylinder and a stationary outer cylinder is filled with a Newtonian mineral oil. Beyond a critical rotation speed (ω[subscript c]), Taylor vortices appear in this system. Small air bubbles are introduced into the gap through a needle connected to a syringe pump. These are then captured in the cores of the vortices (core bubble) and in the outflow regions along the inner cylinder (wall bubble). The flow field is measured with a two-dimensional particle imaging velocimetry (PIV) system. The motion of the bubbles is monitored by using a high speed video camera. It has been found that, if the core bubbles are all of the same size, a bubble ring forms at the center of the vortex such that bubbles are azimuthally uniformly distributed. There is a saturation number (N[subscript s]) of bubbles in the ring, such that the addition of one more bubble leads eventually to a coalescence and a subsequent complicated evolution. Ns increases with increasing rotation speed and decreasing bubble size. For bubbles of non-uniform size, small bubbles and large bubbles in nearly the same orbit can be observed to cross due to their different circulating speeds. The wall bubbles, however, do not become uniformly distributed, but instead form short bubble-chains which might eventually evolve into large bubbles. The motion of droplets and particles in a Taylor vortex was also investigated. As with bubbles, droplets and particles align into a ring structure at low rotation speeds, but the saturation number is much smaller. Moreover, at high rotation speeds, droplets and particles exhibit a characteristic periodic oscillation in the axial, radial and tangential directions due to their inertia. In addition, experiments with non-spherical particles show that they behave rather similarly. This study provides a better understanding of particulate behavior in vortex flow structures.

Stimuli-responsive Novel Amphiphilic Polymers for Chemical and Biomedical Applications

Amphiphilic polymers are a class of polymers that self-assemble into different types of microstructure, depending on the solvent environment and external stimuli. Self assembly structures can exist in many different forms, such as spherical micelles, rod-like micelles, bi-layers, vesicles, bi-continuous structure etc. Most biological systems are basically comprised of many of these organised structures arranged in an intelligent manner, which impart functions and life to the system. We have adopted the atom transfer radical polymerization (ATRP) technique to synthesize various types of block copolymer systems that self-assemble into different microstructure when subject to an external stimuli, such as pH or temperature. The systems that we have studied are: (1) pH responsive fullerene (C60) containing poly(methacrylic acid) (PMAA-b-C60); (2) pH and temperature responsive fullerene containing poly[2-(dimethylamino)ethyl methacrylate] (C₆₀-b-PDMAEMA); (3) other responsive water-soluble fullerene systems. By varying temperature, pH and salt concentration, different types microstructure can be produced. In the presence of inorganic salts, fractal patterns at nano- to microscopic dimension were observed for negatively charged PMAA-b-C60, while such structure was not observed for positively charged PDMAEMA-b-C60. We demonstrated that negatively charged fullerene containing polymeric systems can serve as excellent nano-templates for the controlled growth of inorganic crystals at the nano- to micrometer length scale and the possible mechanism was proposed. The physical properties and the characteristics of their self-assembly properties will be discussed, and their implications to chemical and biomedical applications will be highlighted.

Numerical comparison between Maxwell stress method and equivalent multipole approach for calculation of the dielectrophoretic force in octupolar cell traps

This work presents detailed numerical calculations of the dielectrophoretic force in octupolar traps designed for single-cell trapping. A trap with eight planar electrodes is studied for spherical and ellipsoidal particles using an indirect implementation of the boundary element method (BEM). Multipolar approximations of orders one to three are compared with the full Maxwell stress tensor (MST) calculation of the electrical force on spherical particles. Ellipsoidal particles are also studied, but in their case only the dipolar approximation is available for comparison with the MST solution. The results show that the full MST calculation is only required in the study of non-spherical particles.

Compositional ideas in the bayesian analysis of categorical data with application to dose finding clinical trials

Compositional random vectors are fundamental tools in the Bayesian analysis of categorical data. Many of the issues that are discussed with reference to the statistical analysis of compositional data have a natural counterpart in the construction of a Bayesian statistical model for categorical data. This note builds on the idea of cross-fertilization of the two areas recommended by Aitchison (1986) in his seminal book on compositional data. Particular emphasis is put on the problem of what parameterization to use

Retinoscopía estática: variabilidad interobservadores entre docentes y estudiantes de optometría en una institución universitaria de Bogotá D.C.

Introducción: el gold estándar para el error refractivo es la retinoscopía. Los docentes de optometría al evaluar estudiantes, aceptan una diferencia de ±0,50D en la refracción pero no se ha evaluado estadísticamente si es adecuado para ametropías bajas y altas. El objetivo fue cuantificar el grado de concordancia interobservadores en retinoscopía estática entre docentes y estudiantes, para ametropías altas y bajas. Metodología: estudio de concordancia entre 4 observadores en 40 ojos, 20 con ametropías altas y 20 con bajas; muestreo no probabilístico por conveniencia. Análisis estadístico con coeficiente de correlación intraclase, confiabilidad 95%, poder 90%, y con método gráfico de límites de acuerdo al 95%. Resultados: concordancia para el equivalente esférico entre docentes 0,96 y entre estudiantes 0,56. En estudiantes concordancia de 0,89 para defectos refractivos bajos y docentes 0,96 para defectos altos. Concordancia entre cuatro examinadores 0,78, defectos bajos 0,86 y para altos 0,67. Margen de error entre docentes ±0,87D y estudiantes ±3,15D. En defectos bajos ±0,61D para docentes y ±0,80D para estudiantes y en defectos altos ±1,10D y ±4,22D respectivamente. Discusión: hubo mayor confiabilidad en retinoscopía entre profesionales experimentados. Se comparó la concordancia entre docentes y estudiantes, por eso puede haberse encontrado menor concordancia que la descrita por otros estudios que compararon entre profesionales a pesar haber sido elegidos por sus buenas calificaciones. Se deben formular estrategias de enseñanza que permitan reducir los márgenes de error obtenidos y mejorar la concordancia entre docentes y estudiantes.

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Comparación de grosor macular y grado de miopía en grupo de pacientes de la Fundación Oftalmológica Nacional

OBJETIVOS: Comparar las medidas de grosor macular, medido por HD-OCT Cirrus®, en pacientes de la Fundación Oftalmológica Nacional con miopía baja y alta. MÉTODOS: Estudio transversal analítico, en el que se incluyeron pacientes con miopía alta, definida como defecto esférico mayor a – 6.0 dioptrías (D), y pacientes con miopía baja, definida como defecto esférico entre -1.00 D y -6.00 D; a los que se le realizó mapa de grosores maculares con el HD-OCT Cirrus®, y se compararon las medias de los grosores (1, 3 y 6 mm). RESULTADOS: Un total de 128 ojos de pacientes entre 12 y 80 años fueron incluidos; 64 ojos en grupo de miopes bajos y 64 ojos en grupo de miopes altos. La media de edad fue: 37.3 y 38.4 años, y el defecto esférico promedio fue de 2.2 D y 11.5 D, respectivamente. El promedio de grosores en mácula interna (319.9 vs. 307.87 micras, P=0.002), y mácula externa (276.08 vs. 270.23 micras, P=0.047) fue significativamente mayor en el grupo de miopía baja que en el de miopía alta. Sin embargo la media del grosor macular central (1 mm) no tuvo diferencia (261.25 vs. 262 micras P=0.891). CONCLUSIÓN: Este estudio muestra que el grosor macular de 3 y 6 mm centrales es más delgado en miopes altos, pero en 1 mm central es similar que en miopes bajos. En los pacientes estudiados no se encontró diferencia en grosores maculares según género o subgrupos de edad.

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