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Teses / dissertações sobre o tema "Large baseline image registration"

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1

Elassam, Abdelkarim. "Learning-based vanishing point detection and its application to large-baseline image registration." Electronic Thesis or Diss., Université de Lorraine, 2024. http://www.theses.fr/2024LORR0084.

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Cette thèse étudie la détection des points de fuite et de la ligne d'horizon ainsi que leur application à des tâches de localisation visuelle en environnement urbain. La localisation visuelle est un problème fondamental de vision par ordinateur qui vise à déterminer la position et l'orientation d'une caméra dans un environnement en se basant uniquement sur des informations visuelles. En environnements urbains et manufacturés, les points de fuite sont des repères visuels qui apportent des informations importantes sur la structure de la scène et leur détection est donc importante pour les tâches
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Al-Shahri, Mohammed. "Line Matching in a Wide-Baseline Stereoview." The Ohio State University, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=osu1376951775.

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3

Lakemond, Ruan. "Multiple camera management using wide baseline matching." Thesis, Queensland University of Technology, 2010. https://eprints.qut.edu.au/37668/1/Ruan_Lakemond_Thesis.pdf.

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Camera calibration information is required in order for multiple camera networks to deliver more than the sum of many single camera systems. Methods exist for manually calibrating cameras with high accuracy. Manually calibrating networks with many cameras is, however, time consuming, expensive and impractical for networks that undergo frequent change. For this reason, automatic calibration techniques have been vigorously researched in recent years. Fully automatic calibration methods depend on the ability to automatically find point correspondences between overlapping views. In typical camera
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4

Shao, Wei. "Identifying the shape collapse problem in large deformation image registration." Thesis, University of Iowa, 2016. https://ir.uiowa.edu/etd/2276.

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This thesis examines and identifies the problems of shape collapse in large deformation image registration. Shape collapse occurs in image registration when a region in the moving image is transformed into a set of near zero volume in the target image space. Shape collapse may occur when the moving image has a structure that is either missing or does not sufficiently overlap the corresponding structure in the target image. We state that shape collapse is a problem in image registration because it may lead to the following consequences: (1) Incorrect pointwise correspondence between different c
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Eiben, B. "Integration of biomechanical models into image registration in the presence of large deformations." Thesis, University College London (University of London), 2016. http://discovery.ucl.ac.uk/1476650/.

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Prone-to-supine breast image registration has potential application in the fields of surgical and radiotherapy planning, and image guided interventions. However, breast image registration of three-dimensional images acquired in different patient positions is a challenging problem, due to large deformations induced to the soft breast tissue caused by the change in gravity loading. Biomechanical modelling is a promising tool to predict gravity induced deformations, however such simulations alone are unlikely to produce good alignment due to inter-patient variability and image acquisition related
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Briand, Thibaud. "Image Formation from a Large Sequence of RAW Images : performance and accuracy." Thesis, Paris Est, 2018. http://www.theses.fr/2018PESC1017/document.

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Le but de cette thèse est de construire une image couleur de haute qualité, contenant un faible niveau de bruit et d'aliasing, à partir d'une grande séquence (e.g. des centaines) d'images RAW prises avec un appareil photo grand public. C’est un problème complexe nécessitant d'effectuer à la volée du dématriçage, du débruitage et de la super-résolution. Les algorithmes existants produisent des images de haute qualité, mais le nombre d'images d'entrée est limité par des coûts de calcul et de mémoire importants. Dans cette thèse, nous proposons un algorithme de fusion d'images qui les traite séqu
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7

König, Lars [Verfasser]. "Matrix-free approaches for deformable image registration with large-scale and real-time applications in medical imaging / Lars König." Lübeck : Zentrale Hochschulbibliothek Lübeck, 2019. http://d-nb.info/1175137189/34.

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Matos, Ana Carolina Fonseca. "Development of a large baseline stereo vision rig for pedestrian and other target detection on road." Master's thesis, Universidade de Aveiro, 2016. http://hdl.handle.net/10773/17055.

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Mestrado em Engenharia Mecânica<br>Os veículos autónomos são uma tendência cada vez mais crescente nos dias de hoje com os grandes fabricantes da área automóvel, e não só, concentrados em desenvolver carros autónomos. As duas maiores vantagens que se destacam para os carros autónomos são maior conforto para o condutor e maior segurança, onde este trabalho se foca. São incontáveis as vezes que um condutor, por distração ou por outra razão, não vê um objeto na estrada e colide ou um peão na estrada que e atropelado. Esta e uma das questões que um sistema de apoio a condução (ADAS) ou
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9

Chnafa, Christophe. "Using image-based large-eddy simulations to investigate the intracardiac flow and its turbulent nature." Thesis, Montpellier 2, 2014. http://www.theses.fr/2014MON20112/document.

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Le premier objectif de cette thèse est de générer et d'analyser une base de données pour l'écoulement intracardiaque dans des géométries réalistes. Dans ce but, une stratégie couplant simulation numérique et imagerie médicale est appliquée à un cœur gauche pathologique et à un cœur gauche sain. Le second objectif est d'illustrer comment cette base de données peut être analysée afin de mieux comprendre l'écoulement intracardiaque, en portant une attention particulière aux caractéristiques instationnaires de l'écoulement et à sa nature turbulente. Une chaîne numérique pour simuler l'écoulement d
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Lotz, Johannes [Verfasser], Jan [Akademischer Betreuer] Modersitzki, and Heinz [Akademischer Betreuer] Handels. "Combined local and global image registration and its application to large-scale images in digital pathology / Johannes Lotz ; Akademische Betreuer: Jan Modersitzki, Heinz Handels." Lübeck : Zentrale Hochschulbibliothek Lübeck, 2020. http://d-nb.info/1217024069/34.

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Sakamoto, Ryo. "Detection of Time-Varying Structures by Large Deformation Diffeomorphic Metric Mapping to Aid Reading of High-Resolution CT Images of the Lung." Kyoto University, 2014. http://hdl.handle.net/2433/189353.

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Sabino, Danilo Damasceno. "Development of a 3D multi-camera measurement system based on image stitching techniques applied for dynamic measurements of large structures." Ilha Solteira, 2018. http://hdl.handle.net/11449/157103.

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Orientador: João Antonio Pereira<br>Resumo: O objetivo específico deste trabalho é estender as capacidades da técnica de rastreamento de pontos em 3 dimensões (three-dimensional point tracking – 3DPT) para identificar as características dinâmicas de estruturas grandes e complexas, tais como pás de turbina eólica. Um sistema multi-camera (composto de múltiplos sistemas de estéreo visão calibrados independentemente) é desenvolvido para obter alta resolução espacial de pontos discretos a partir de medidas de deslocamento sobre grandes áreas. Uma proposta de técnica de costura é apresentada e empr
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13

MAGGIOLO, LUCA. "Deep Learning and Advanced Statistical Methods for Domain Adaptation and Classification of Remote Sensing Images". Doctoral thesis, Università degli studi di Genova, 2022. http://hdl.handle.net/11567/1070050.

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In the recent years, remote sensing has faced a huge evolution. The constantly growing availability of remote sensing data has opened up new opportunities and laid the foundations for many new challenges. The continuous space missions and new constellations of satellites allow in fact more and more frequent acquisitions, at increasingly higher spatial resolutions, and at an almost total coverage of the globe. The availability of such an huge amount data has highlighted the need for automatic techniques capable of processing the data and exploiting all the available information. Meanwhile, the
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González, Obando Daniel Felipe. "From digital to computational pathology for biomarker discovery." Electronic Thesis or Diss., Université Paris Cité, 2019. http://www.theses.fr/2019UNIP5185.

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L'histopathologie a pour objectif d'analyser des images de tissus biologiques pour évaluer l’état pathologique d'un organe et établir un diagnostic. L'apparition des scanners de lames a haute résolution a ouvert la voie a des nouvelles possibilités d'acquisition de très grandes images (whole slide imaging), de multiplexage de marquages, d'extraction exhaustive d'informations visuelles et d'annotations multiples a large échelle. Cette thèse propose un ensemble de méthodes algorithmiques visant a faciliter et optimiser ces différents aspects. Dans un premier temps, nous proposons une méthode de
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15

Wang, Li-Chuan, and 王莉琄. "A Numerical Study On Large Deformation Diffeomorphic Metric Mapping With Application On Brain Image Registration." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/92472835935403425056.

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碩士<br>國立交通大學<br>應用數學系所<br>102<br>Image registration in medical images analysis is to find a corresponding map via landmar- ks, p and q which is prescribed in two given images, respectively. LDDMM is one of the most commonly used methods for non-rigid medical image registration. Computation of LDDMM is an optimization problem. It is important to find a suitable initial for LDDM- M computation. The goal of this thesis is to find the suitable initial. In this thesis, the initial of computing LDDMM is obtained from the thin-plate spline and möbius transformation, instead of original initial path c
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