965 resultados para object modeling from images
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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Pós-graduação em Ciência da Computação - IBILCE
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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Pós-graduação em Letras - FCLAS
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Pós-graduação em Engenharia Mecânica - FEG
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A tectônica Mesozóica-Cenozóica na borda leste da Bacia do Paraná foi interpretada com base no estudo geocronológico de uma importante feição estrutural conhecida como Domo de Pitanga (sudoeste de Rio Claro, SP), que, como outras estruturas do mesmo tipo presentes na borda da bacia, coincide com grandes alinhamentos estruturais formados pela reativação de estruturas preexistentes no seu embasamento. O método utilizado foi o de datação por análise de traços de fissão em apatitas, o qual permite a modelagem térmica entre 120oC e a temperatura ambiente. Utilizando apatitas de rochas sedimentares, foi possível a modelagem da história térmica da área, graças à homogeneidade dos dados que cada amostra apresentou em função do aquecimento no Eocretáceo pelo magmatismo Serra Geral. Além do resfriamento posterior ao magmatismo marcado pelas idades (Eocretáceo), foram detectadas as principais épocas de resfriamento na área de estudo, sendo elas do Neocretáceo, Paleoceno e, com menor importância, do Mioceno. Estes períodos remontam a importantes eventos tectônicos ocorridos no Sudeste brasileiro, bem descritos no embasamento cristalino. Fica clara a influência desta tectônica de caráter ascensional do embasamento adjacente no interior da bacia, atuando na formação de estruturas, como é o caso do Domo de Pitanga.
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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
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The need for unmanned aerial vehicle (UAV) is a Brazilian reality in the worlds agricultural, once they have models penetrating the market with agrictural purpose. After processing, the images collected by a UAV can generate a mosaic of the study area. For making and georeferencing the mosaic, can be deployed or not ground control points. Thus, the study aimed to compare a mosaic with ground control points and without ground control points generated from images collected by a UAV used primarily for agricultural purposes. The results showed that the quality in the determination of areas and perimeters no presented significant difference with or without the use of ground control points. The mosaic generated without ground control points obtained an average error of 23.7% of the pixel size; with ground control points, the average error was 10.6%, providing an improvement of approximately 50%. Planimetric and altimetric errors, with respect to the ground control points, for the controlled mosaic, reached the order of decimeters, with planimetric accuracy of 12.8 cm, a result considered satisfactory taking into account mainly the purpose of assessed UAV
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This research presents an investigation on the subject: Quantities and Measurements. The research is dedicated to this subject due to its importance in the school curriculum, and adopts the use of history of mathematics and investigative duties in a manner that will enable the production of knowledge by the student. Following a phenomenological orientation, we conducted field work in a public school in Guaratinguetá, with students from the 6 th grade. The analyze of data of the research, undertaken in accordance with the understanding of the texts FINI (1994), MACHADO (1994), BICUDO (1993, 2000, 2011), understanding how students construct knowledge measures. The data from field work were obtained from images recorded on video, the researcher's field diary and notes of the students. The descriptions of the data, transformed into text, had been detached the strechs most revealing for what it searchs to understand. The understood meaning through the analysis, indicates two categories: measure is to express values and measure is to compare quantities. When interpreting the open categories we understand that the student builds knowledge of measurement making comparisons
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Pós-graduação em Engenharia Civil - FEIS
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In this course conclusion work intends to initially trace a brief history of childhood, watching as their design has been changing over time until you get to today, then it will be contextualized childhood and his relationship with the image, ie as this is narrated from images and phrases linked to them shared daily on a social network of communication accessed around the world, Facebook. Seek to identify the way that these images have in childhood now, in view of the existence of a Aesthetics domination over people, in the philosophical sense of the word means that which affects the senses, so the images can be produced Aesthetic emotions: ways of being, acting and feeling. For this will be a collection of materials on this web site, and to give theoretical support to work a literature will also be held, using for the basement of research, the theories of thinkers Walter Benjamin, Foucault, Philippe Aries, René Schérer
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Rotational panoramic radiograpy is a widely used procedure for examination of the jaws. Then, the aim of this study was analyse the mandibular growth from images obtained on panoramic radiographs of male and female children with chronological age between 7-10 years old. Craniometrics points were identifyed and linear measurements obtained from mandibular body and ramus. The results showed an increase in mandibular body lenght and mandibular ramus height in both sexes. Statistically significant correlation was found between the total mandibular lenght (from codilion to mental) and mandibular body lenght (from gonion to mental), in male and female children.
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Given the widespread use of computers, the visual pattern recognition task has been automated in order to address the huge amount of available digital images. Many applications use image processing techniques as well as feature extraction and visual pattern recognition algorithms in order to identify people, to make the disease diagnosis process easier, to classify objects, etc. based on digital images. Among the features that can be extracted and analyzed from images is the shape of objects or regions. In some cases, shape is the unique feature that can be extracted with a relatively high accuracy from the image. In this work we present some of most important shape analysis methods and compare their performance when applied on three well-known shape image databases. Finally, we propose the development of a new shape descriptor based on the Hough Transform.
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The aim of this work is to discriminate vegetation classes throught remote sensing images from the satellite CBERS-2, related to winter and summer seasons in the Campos Gerais region Paraná State, Brazil. The vegetation cover of the region presents different kinds of vegetations: summer and winter cultures, reforestation areas, natural areas and pasture. Supervised classification techniques like Maximum Likelihood Classifier (MLC) and Decision Tree were evaluated, considering a set of attributes from images, composed by bands of the CCD sensor (1, 2, 3, 4), vegetation indices (CTVI, DVI, GEMI, NDVI, SR, SAVI, TVI), mixture models (soil, shadow, vegetation) and the two first main components. The evaluation of the classifications accuracy was made using the classification error matrix and the kappa coefficient. It was defined a high discriminatory level during the classes definition, in order to allow separation of different kinds of winter and summer crops. The classification accuracy by decision tree was 94.5% and the kappa coefficient was 0.9389 for the scene 157/128. For the scene 158/127, the values were 88% and 0.8667, respectively. The classification accuracy by MLC was 84.86% and the kappa coefficient was 0.8099 for the scene 157/128. For the scene 158/127, the values were 77.90% and 0.7476, respectively. The results showed a better performance of the Decision Tree classifier than MLC, especially to the classes related to cultivated crops, indicating the use of the Decision Tree classifier to the vegetation cover mapping including different kinds of crops.
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)