<p>Methods for assessment of body composition allow studies of the complex relationships between body composition and the wellbeing of humans. The amount and distribution of adipose tissue is of great importance in these studies. This thesis describes, proposes, and evaluates new methods for assessment of body composition (amount and distribution of adipose tissue) using magnetic resonance imaging (MRI). The thesis focuses on the use of MRI but includes results from computed tomography (CT) and dual energy X-ray absorptiometry (DEXA). The subject data used originates from cohorts recruited solely for the purpose of the included studies and from the “Prospective Investigation of Vasculature in Uppsala Seniors” (PIVUS) and the Sib-pair (within the framework of the Swedish Obese Subjects - SOS study) studies.</p><p>The included studies propose a new acquisition method for whole-body analysis of adipose tissue, a fully automated post processing algorithm for segmentation of visceral and subcutaneous adipose tissue from abdominal MRI data, and anthropometrical measurements for practical estimations of body composition.</p><p>The proposed acquisition method for whole-body adipose tissue analysis simplified the analysis of adipose tissue and the results strongly correlated with the results from CT and DEXA analysis. The fully automated post processing algorithm gave reproducible results with relatively high accuracy. Transverse and sagittal abdominal diameters gave information about subcutaneous and visceral adipose tissue, respectively, and an elliptical approximation was found useful in estimation of total amount of abdominal adipose tissue.</p><p>The methods proposed in this thesis were found useful for assessment of body composition. The methods were developed with clinical practice in mind and all proposed methods have been used in further studies for assessment of body composition.</p>

Methods for assessment of body composition allow studies of the complex relationships between body composition and the wellbeing of humans. The amount and distribution of adipose tissue is of great importance in these studies. This thesis describes, proposes, and evaluates new methods for assessment of body composition (amount and distribution of adipose tissue) using magnetic resonance imaging (MRI). The thesis focuses on the use of MRI but includes results from computed tomography (CT) and dual energy X-ray absorptiometry (DEXA). The subject data used originates from cohorts recruited solely for the purpose of the included studies and from the “Prospective Investigation of Vasculature in Uppsala Seniors” (PIVUS) and the Sib-pair (within the framework of the Swedish Obese Subjects - SOS study) studies. The included studies propose a new acquisition method for whole-body analysis of adipose tissue, a fully automated post processing algorithm for segmentation of visceral and subcutaneous adipose tissue from abdominal MRI data, and anthropometrical measurements for practical estimations of body composition. The proposed acquisition method for whole-body adipose tissue analysis simplified the analysis of adipose tissue and the results strongly correlated with the results from CT and DEXA analysis. The fully automated post processing algorithm gave reproducible results with relatively high accuracy. Transverse and sagittal abdominal diameters gave information about subcutaneous and visceral adipose tissue, respectively, and an elliptical approximation was found useful in estimation of total amount of abdominal adipose tissue. The methods proposed in this thesis were found useful for assessment of body composition. The methods were developed with clinical practice in mind and all proposed methods have been used in further studies for assessment of body composition.

This thesis presents a complete and fully automatic method for estimating the volume of an airbag, through all stages of its inflation, with multiple synchronized high-speed cameras. Using recorded contours of the inflating airbag, its visual hull is reconstructed with a novel method: The intersections of all back-projected contours are first identified with an accelerated epipolar algorithm. These intersections, together with additional points sampled from concave surface regions of the visual hull, are then Delaunay triangulated to a connected set of tetrahedra. Finally, the visual hull is extracted by carving away the tetrahedra that are classified as inconsistent with the contours, according to a voting procedure. The volume of an airbag's visual hull is always larger than the airbag's real volume. By projecting a known synthetic model of the airbag into the cameras, this volume offset is computed, and an accurate estimate of the real airbag volume is extracted. Even though volume estimates can be computed for all camera setups, the cameras should be specially posed to achieve optimal results. Such poses are uniquely found for different airbag models with a separate, fully automatic, simulated annealing algorithm. Satisfying results are presented for both synthetic and real-world data.

Just how far is it possible to make learning of new parts for recognition and robot picking autonomous? This thesis initially gives the prerequisites for the steps in learning and calibration that are to be automated. Among these tasks are to select a suitable part model from numerous candidates with the help of a new part segmenter, as well as computing the spatial extent of this part, facilitating robotic collision handling. Other tasks are to analyze the part model in order to highlight correct and suitable edge segments for increasing pattern matching certainty, and to choose appropriate acceptance levels for pattern matching. Furthermore, tasks deal with simplifying camera calibration by analyzing the calibration pattern, as well as compensating for differences in perspective at great depth variations, by calculating the centre of perspective of the image. The image processing algorithms created in order to solve the tasks are described and evaluated thoroughly. This thesis shows that simplification of steps of learning and calibration, by the help of advanced image processing, really is possible.

This report present a working model for simulation of what happens to colors displayed on screens when they are observed through optical filters. The results of the model can be used to visually, on one screen, simulate another screen with an applied optical filter. The model can also produce CIE color difference values for the simulated screen colors. The model is data driven and requires spectral measurements for at least the screen to be simulated and the physical filters that will be used. The model is divided into three separate modules or steps where each of the modules can be easily replaced by alternative implementations or solutions. Results from tests performed show that the model can be used for prototyping of optical filters even though the tests of the specific algorithms chosen show there is room for improvements in quality. There is nothing that indicates that future work with this model would not produce better quality in its results. / Denna rapport presenterar en fungerande modell för att optiskt simulera vad som händer med färger på bildskärmar då skärmarna betraktas genom optiska filter. Resultat från modellen består av information som kan användas för visuell simulering av en skärm med applicerat filter på en annan visande skärm. Förutom ren bilddata kan modellen även producera färgskillnadsvärden som kan härledas från CIE 1931 XYZ-koordinater. Modellen är datadriven och kräver initiala mätningar på minst den skärm som ska simuleras samt filter. Hela modellen är uppdelad i tre separata moduler eller steg där de olika delarna lätt kan bytas ut för alternativa algoritmer och lösningar. Resultat från undersökningar visar på att modellen går att använda för prototypning även om de, för arbetet specifikt, valda algoritmerna för de olika stegen i undersökningen visar på brister i kvalité. Det finns inget som visar att framtida arbete där andra algoritmer valts inte skulle kunna prestera ännu bättre resultat.

This thesis is about channel-coded feature maps applied in view-based object recognition, tracking, and machine learning. A channel-coded feature map is a soft histogram of joint spatial pixel positions and image feature values. Typical useful features include local orientation and color. Using these features, each channel measures the co-occurrence of a certain orientation and color at a certain position in an image or image patch. Channel-coded feature maps can be seen as a generalization of the SIFT descriptor with the options of including more features and replacing the linear interpolation between bins by a more general basis function. The general idea of channel coding originates from a model of how information might be represented in the human brain. For example, different neurons tend to be sensitive to different orientations of local structures in the visual input. The sensitivity profiles tend to be smooth such that one neuron is maximally activated by a certain orientation, with a gradually decaying activity as the input is rotated. This thesis extends previous work on using channel-coding ideas within computer vision and machine learning. By differentiating the channel-coded feature maps with respect to transformations of the underlying image, a method for image registration and tracking is constructed. By using piecewise polynomial basis functions, the channel coding can be computed more efficiently, and a general encoding method for N-dimensional feature spaces is presented. Furthermore, I argue for using channel-coded feature maps in view-based pose estimation, where a continuous pose parameter is estimated from a query image given a number of training views with known pose. The optimization of position, rotation and scale of the object in the image plane is then included in the optimization problem, leading to a simultaneous tracking and pose estimation algorithm. Apart from objects and poses, the thesis examines the use of channel coding in connection with Bayesian networks. The goal here is to avoid the hard discretizations usually required when Markov random fields are used on intrinsically continuous signals like depth for stereo vision or color values in image restoration. Channel coding has previously been used to design machine learning algorithms that are robust to outliers, ambiguities, and discontinuities in the training data. This is obtained by finding a linear mapping between channel-coded input and output values. This thesis extends this method with an incremental version and identifies and analyzes a key feature of the method -- that it is able to handle a learning situation where the correspondence structure between the input and output space is not completely known. In contrast to a traditional supervised learning setting, the training examples are groups of unordered input-output points, where the correspondence structure within each group is unknown. This behavior is studied theoretically and the effect of outliers and convergence properties are analyzed. All presented methods have been evaluated experimentally. The work has been conducted within the cognitive systems research project COSPAL funded by EC FP6, and much of the contents has been put to use in the final COSPAL demonstrator system.

Den här undersökningen belyser hur makt kan manifesteras i bild. Den utgår från maktteorier, främst postmodern maktanalys enligt Michel Foucault och hans uttolkare. Semiotisk bildanalys används för att belysa maktmanifestationer i ett bildmaterial som huvudsakligen utgörs av fotografier tagna av författaren. Resultatet presenteras i en gestaltning där bilderna visas tillsammans med en analys av varje bild. Tekniker såsom perspektivval, bildutsnitt och efterbehandling, för att förändra en bilds konnotation, demonstreras. Olika maktperspektiv och makttekniker urskiljs och särskilt fokus läggs på mindre uppenbara maktyttringar och dolda maktuttryck, t.ex. osynliggörande, obstruktion, belöning och övervakning. Här konstateras att uttryck för makt inte är absoluta och odiskutabla utan att konnotationen är beroende av betraktarens kultursfär, tidigare erfarenheter och kunskap. En diskussion förs om uttolkningen av de maktteoretiska och semiotiska begreppen och hur vida definitionerna kan vara för att analysen ska vara användbar och meningsfull. / This study illustrates how power can be manifested in the image. It is based on theories of power, mainly postmodern power analysis according to Michel Foucault and his interpreters. Semiotic analysis is used to illustrate the manifestations of power in the visual material that mainly consists of photographs taken by the author. The results are presented in a display where the images are shown along with an analysis of each image. Techniques such as perspective, composition and finish, in order to change the connotation of an image, are being demonstrated. Different perspectives of power and power techniques are distinguished and a special focus is put on the less obvious manifestations of power and the hidden expressions of power, for example inattention, obstruction, reward and monitoring. It is found that expressions of power are not absolute and indisputable and that the connotation depends on the viewer's culture sphere, previous experience and knowledge. A discussion is being held about the interpretation of the power theoretical and semiotic concepts and how wide the definitions can be for the analysis to be useful and meaningful.

Studien syftar till att granska genus- och rollkonstruktioner i barnböcker utifrån frågeställningarna; hur ser genus- och rollkonstruktioner ut i de studerade böckerna? Böcker är en viktig källa i barns socialisationsprocess (Hulth &amp; Schönbäck, 2011). Studien utgår från konstruktionismen, och använder sig av bild- och textanalys för att studera LasseMajas detektivbyrå. Studien utgår ifrån genusteori och rollteori och har en deduktiv ansats. Resultaten visar bland annat att böckerna innehåller en genusnormativ yrkesdelning och att bilderna särskiljer kvinnor och män från varandra. Det finns vissa grundläggande normer i böckerna samt vissa yrken som har olika viktiga funktioner. Böckerna skildrar även hierarkier, att det finns skyldigheter inom givna relationer samt att vissa roller krockar med varandra. Studiens slutsats är böckerna skildrar normativa inslag gällande hur karaktärer porträtteras och tillåts agera. Konstruktionerna förmedlar att det är viktigt att kvinnor och män särskiljs, samt att ordning och stabilitet bevaras i sociala system.

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<p><!-- /* Font Definitions */ @font-face {font-family:"Cambria Math"; panose-1:2 4 5 3 5 4 6 3 2 4; mso-font-charset:1; mso-generic-font-family:roman; mso-font-format:other; mso-font-pitch:variable; mso-font-signature:0 0 0 0 0 0;} @font-face {font-family:Calibri; panose-1:2 15 5 2 2 2 4 3 2 4; mso-font-charset:0; mso-generic-font-family:swiss; mso-font-pitch:variable; mso-font-signature:-1610611985 1073750139 0 0 159 0;} /* Style Definitions */ p.MsoNormal, li.MsoNormal, div.MsoNormal {mso-style-unhide:no; mso-style-qformat:yes; mso-style-parent:""; margin-top:0cm; margin-right:0cm; margin-bottom:10.0pt; margin-left:0cm; line-height:115%; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:Calibri; mso-fareast-theme-font:minor-latin; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi; mso-fareast-language:EN-US;} .MsoChpDefault {mso-style-type:export-only; mso-default-props:yes; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:Calibri; mso-fareast-theme-font:minor-latin; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi; mso-fareast-language:EN-US;} .MsoPapDefault {mso-style-type:export-only; margin-bottom:10.0pt; line-height:115%;} @page Section1 {size:612.0pt 792.0pt; margin:70.85pt 70.85pt 70.85pt 70.85pt; mso-header-margin:36.0pt; mso-footer-margin:36.0pt; mso-paper-source:0;} div.Section1 {page:Section1;} --><p>I den här uppsatsen har jag analyserat tre tidningsartiklar från herrtidningen Moore, och tre tidningsartiklar från tjejtidningen Solo. Jag har analyserat en artikel i varje nummer, så totalt har jag använt sex tidningar. Utöver artiklarna har jag också analyserat två av tidningarnas omslag. Efter analyserna har jag gjort jämförelser mellan de båda tidningarnas artiklar och omslag för att se om det går att påvisa några skillnader, men även likheter.     Min avsikt med att göra det här var att bevisa vetenskapligt att skillnader finns i tidningarnas informationsdesign, alltså deras bilder, texter och layout. Jag har analyserat artiklarna efter en ganska strikt modell, men även tagit mig friheten att välja bort eller lägga till vissa element i modellen beroende på vilken sorts artikel jag analyserat.    Efter mitt arbete har jag upptäckt att flera bevisningsbara skillnader föreligger, men även att artiklarna och omslagen har gemensamma drag på flera plan. Några av skillnaderna var till exempel att Moores artiklar ofta var mer ironiska, sarkastiska och även mer slangartade och med visst innehåll av ”fult språk”. Omslaget visade sig också vara mer aggressivt i sina färgskalor, i den mån att färgerna var mer mättade än på Solos omslag. Att en tydlig ämnesskillnad föreligger i textpuffarna på omslaget är också tydligt. Denna ämnesskillnad tycks vara målgruppsberoende, då tidningarna har två helt olika målgrupper.    De likheter jag har funnit är främst på textuell nivå. Procentantalet långa ord är till exempel ofta nästan identiskt mellan flera av de jämförda artiklarna.</p></p>