Дисертації з теми "Structure- Motion"
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Scheffler, Carl. "Articulated structure from motion." Thesis, University of the Western Cape, 2004. http://etd.uwc.ac.za/index.php?module=etd&action=viewtitle&id=init_2988_1177923873.
Повний текст джерелаSvensson, Fredrik. "Structure from Forward Motion." Thesis, Linköpings universitet, Bildbehandling, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-60136.
Повний текст джерелаI detta examensarbete undersöks svårigheterna kring att skapa en djupbild från att endast använda en lågupplöst gråskalekamera monterad framtill i en bil. Målet är att producera en djupbild i realtid som kan nyttjas i andra delar av bilens säkerhetssystem. Detta har visat sig vara svårt att lösa med den undersökta kombinationen av kameraplacering och val av algoritmer. Det huvudsakliga problemet är att räkna ut ett noggrant optiskt flöde. Andra problem härrör från objekt som rör på sig. Slutsatsen är att implementationerna, mestadels triangulering av korresponderande punktpar som följts med hjälp av en Lucas Kanade-följare, ger resultat av för dålig kvalitet för att vara till nytta för bilens säkerhetssystem.
Wong, Kwan-Yee Kenneth. "Structure and motion from silhouettes." Thesis, University of Cambridge, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.621379.
Повний текст джерелаZucchelli, Marco. "Optical Flow Based Structure from Motion." Doctoral thesis, KTH, Numerical Analysis and Computer Science, NADA, 2002. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-3377.
Повний текст джерелаOrthey, Andreas. "Exploiting structure in humanoid motion planning." Phd thesis, Toulouse, INPT, 2015. http://oatao.univ-toulouse.fr/14685/1/orthey.pdf.
Повний текст джерелаHedborg, Johan. "Motion and Structure Estimation From Video." Doctoral thesis, Linköpings universitet, Datorseende, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-76904.
Повний текст джерелаVirtual Photo Set (VPS)
Örjehag, Erik. "Unsupervised Learning for Structure from Motion." Thesis, Linköpings universitet, Datorseende, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-173731.
Повний текст джерелаHakl, Henri. "Structure-from-motion for enclosed environments." Thesis, Link to the online version, 2007. http://hdl.handle.net/10019.1/1195.
Повний текст джерелаRautenbach, Pieter Albertus. "Facial Feature Reconstruction using Structure from Motion." Thesis, Link to the online version, 2005. http://hdl.handle.net/10019/1340.
Повний текст джерелаJi, Hui. "A holistic approach to structure from motion." College Park, Md. : University of Maryland, 2006. http://hdl.handle.net/1903/3807.
Повний текст джерелаThesis research directed by: Computer Science. Title from t.p. of PDF. Includes bibliographical references. Published by UMI Dissertation Services, Ann Arbor, Mich. Also available in paper.
Van, Wyk Barry-Michael Morne. "Verifying stereo vision using structure from motion." Thesis, Stellenbosch : Stellenbosch University, 2008. http://hdl.handle.net/10019.1/3017.
Повний текст джерелаThe medical radiation treatment facility at iThemba Labs requires a precise and robust patient positioning system. The current system makes use of an accurately calibrated multi-camera stereophotogrammetry (SPG) setup that is vulnerable to physical disruptions that invalidate system calibration. The task in this thesis is to design a vision system that can be used to verify the correct operation of the SPG system. We propose an unscented Kalman filter (UKF) based structure from motion (SFM) system for this purpose. Our SFM system does not rely on calibration information used by the SPG system and provides accurate reconstruction for verification purposes. The system is critically evaluated against a set of synthetic and real motion sequences.
Svensson, Niclas. "Structure from Motion with Unstructured RGBD Data." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-302553.
Повний текст джерелаFöljande examensarbete behandlar ämnet djupassisterad Struktur genom Rörelse (eng. SfM). Vid klassisk SfM är målet att återskapa en 3D scen, endast med hjälp av en sekvens av oordnade RGB bilder. I djupassiterad SfM adderas djupinformationen till problemformulering och följaktligen har ett system som kan motta RGBD bilder skapats. Problemet har lösts genom att modifiera en befintlig SfM- mjukvara och mer specifikt dess Buntjustering (eng. BA). Resultatet från den modifierade mjukvaran jämförs med resultatet av originalutgåvan för att dra slutsatser rådande modifikationens påverkan på prestandan. Resultaten visar huvudsakligen två saker. Först och främst, den modifierade mjukvaran producerar resultat med högre noggrannhet i de allra flesta fall. Skillnaden är som allra störst när bilderna är tagna från endast en liten sektor som omringar scenen. Data med brus kan dock försämra systemets prestanda aningen jämfört med orginalsystemet. För det andra, så minskar exekutionstiden betydligt. Slutligen diskuteras hur mjukvaran kan vidareutvecklas för att ytterligare förbättra resultaten.
Clift, Louis G. "Robotic 3D reconstruction utilising structure from motion." Thesis, University of Essex, 2017. http://repository.essex.ac.uk/20734/.
Повний текст джерелаVan, Wyk Barry-Michael Morné. "Verifying stereo vision using structure from motion /." Link to the online version, 2008. http://hdl.handle.net/10019/922.
Повний текст джерелаHuynh, L. (Lam). "Structure-from-motion using convolutional neural networks." Master's thesis, University of Oulu, 2018. http://jultika.oulu.fi/Record/nbnfioulu-201809062760.
Повний текст джерелаAitken, Victor C. (Victor Charles) Carleton University Dissertation Engineering Electrical. "Motion and structure estimation in noisy monocular image sequences: specialization to planar motion." Ottawa, 1991.
Знайти повний текст джерелаMerrell, Paul Clark. "Structure from Motion Using Optical Flow Probability Distributions." Diss., CLICK HERE for online access, 2005. http://contentdm.lib.byu.edu/ETD/image/etd764.pdf.
Повний текст джерелаMcKinnon, David N. R. "Structure from motion from uncalibrated digital image sequences /." [St. Lucia, Qld.], 2002. http://www.library.uq.edu.au/pdfserve.php?image=thesisabs/absthe17117.pdf.
Повний текст джерелаEichner, Hubert. "Internal structure of the fly elementary motion detector." Diss., lmu, 2012. http://nbn-resolving.de/urn:nbn:de:bvb:19-140290.
Повний текст джерелаHanmer, P. "Structure and motion of ions in polymer electrolytes." Thesis, University of Kent, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.259618.
Повний текст джерелаJiang, Qing. "Fractal structure of aggregates induced by shear motion." Diss., The University of Arizona, 1993. http://hdl.handle.net/10150/186241.
Повний текст джерелаFUSIELLO, ANDREA. "THREE-DIMENSIONAL VISION FOR STRUCTURE AND MOTION ESTIMATION." Doctoral thesis, Università degli studi di Trieste, 1999. http://thesis2.sba.units.it/store/handle/item/12451.
Повний текст джерелаQuesta tesi, intitolata Visione Tridimensionale per la stima di Struttura e Moto, tratta di tecniche di Visione Artificiale per la stima delle proprietà geometriche del mondo tridimensionale a partire da immagini numeriche. Queste proprietà sono essenziali per il riconoscimento e la classificazione di oggetti, la navigazione di veicoli mobili autonomi, il reverse engineering e la sintesi di ambienti virtuali. In particolare, saranno descritti i moduli coinvolti nel calcolo della struttura della scena a partire dalle immagini, e verranno presentati contributi originali nei seguenti campi. Rettificazione di immagini steroscopiche. Viene presentato un nuovo algoritmo per la rettificazione, il quale trasforma una coppia di immagini stereoscopiche in maniera che punti corrispondenti giacciano su linee orizzontali con lo stesso indice. Prove sperimentali dimostrano il corretto comportamento del metodo, come pure la trascurabile perdita di accuratezza nella ricostruzione tridimensionale quando questa sia ottenuta direttamente dalle immagini rettificate. Calcolo delle corrispondenze in immagini stereoscopiche. Viene analizzato il problema della stereovisione e viene presentato un un nuovo ed efficiente algoritmo per l'identificazione di coppie di punti corrispondenti, capace di calcolare in modo robusto la disparità stereoscopica anche in presenza di occlusioni. L'algoritmo, chiamato SMW, usa uno schema multi-finestra adattativo assieme al controllo di coerenza destra-sinistra per calcolare la disparità e l'incertezza associata. Gli esperimenti condotti con immagini sintetiche e reali mostrano che SMW sortisce un miglioramento in accuratezza ed efficienza rispetto a metodi simili Inseguimento di punti salienti. L'inseguitore di punti salienti di Shi-Tomasi- Kanade viene migliorato introducendo uno schema automatico per lo scarto di punti spuri basato sulla diagnostica robusta dei campioni periferici ( outliers ). Gli esperimenti con immagini sintetiche e reali confermano il miglioramento rispetto al metodo originale, sia qualitativamente che quantitativamente. Ricostruzione non calibrata. Viene presentata una rassegna ragionata dei metodi per la ricostruzione di un modello tridimensionale della scena, a partire da una telecamera che si muove liberamente e di cui non sono noti i parametri interni. Il contributo consiste nel fornire una visione critica e unificata delle più recenti tecniche. Una tale rassegna non esiste ancora in letterarura. Moto tridimensionale. Viene proposto un algoritmo robusto per registrate e calcolare le corrispondenze in due insiemi di punti tridimensionali nei quali vi sia un numero significativo di elementi mancanti. Il metodo, chiamato RICP, sfrutta la stima robusta con la Minima Mediana dei Quadrati per eliminare l'effetto dei campioni periferici. Il confronto sperimentale con una tecnica simile, ICP, mostra la superiore robustezza e affidabilità di RICP.
This thesis addresses computer vision techniques estimating geometrie properties of the 3-D world /rom digital images. Such properties are essential for object recognition and classification, mobile robots navigation, reverse engineering and synthesis of virtual environments. In particular, this thesis describes the modules involved in the computation of the structure of a scene given some images, and offers original contributions in the following fields. Stereo pairs rectification. A novel rectification algorithm is presented, which transform a stereo pair in such a way that corresponding points in the two images lie on horizontal lines with the same index. Experimental tests prove the correct behavior of the method, as well as the negligible decrease oLthe accuracy of 3-D reconstruction if performed from the rectified images directly. Stereo matching. The problem of computational stereopsis is analyzed, and a new, efficient stereo matching algorithm addressing robust disparity estimation in the presence of occlusions is presented. The algorithm, called SMW, is an adaptive, multi-window scheme using left-right consistency to compute disparity and its associated uncertainty. Experiments with both synthetic and real stereo pairs show how SMW improves on closely related techniques for both accuracy and efficiency. Features tracking. The Shi-Tomasi-Kanade feature tracker is improved by introducing an automatic scheme for rejecting spurious features, based on robust outlier diagnostics. Experiments with real and synthetic images confirm the improvement over the original tracker, both qualitatively and quantitatively. 111 Uncalibrated vision. A review on techniques for computing a three-dimensional model of a scene from a single moving camera, with unconstrained motion and unknown parameters is presented. The contribution is to give a critical, unified view of some of the most promising techniques. Such review does not yet exist in the literature. 3-D motion. A robust algorithm for registering and finding correspondences in two sets of 3-D points with significant percentages of missing data is proposed. The method, called RICP, exploits LMedS robust estimation to withstand the effect of outliers. Experimental comparison with a closely related technique, ICP, shows RICP's superior robustness and reliability.
XI Ciclo
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Versione digitalizzata della tesi di dottorato cartacea.
Stoyanov, Danail Valentinov. "Recovering 3D structure and motion in robotic laparoscopic surgery." Thesis, Imperial College London, 2006. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.430137.
Повний текст джерелаLi, Jian. "Fusing motion information with spatial structure for surveillance applications." Thesis, University of Bristol, 2007. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.445811.
Повний текст джерелаKavamoto, Fayad João Renato. "Local deformation modelling for non-rigid structure from motion." Thesis, Queen Mary, University of London, 2013. http://qmro.qmul.ac.uk/xmlui/handle/123456789/8491.
Повний текст джерелаVenter, Chris (Christian Johannes). "Structure from motion estimation using a nonlinear Kalman filter." Thesis, Stellenbosch : Stellenbosch University, 2002. http://hdl.handle.net/10019.1/53071.
Повний текст джерелаENGLISH ABSTRACT: Structure from Motion is defined as the problem of extracting the 3d motion of a camera moving through a scene, as well as the 3d structure of the scene, from the image sequence produced by the camera over time. Several methods based on the Kalman filter have been proposed in the past, mostly based on the Extended Kalman filter. We propose an algorithm based on the dual Unscented Kalman filter to estimate the structure and motion of an object under perspective projection. It is shown that the algorithm is stable and accurate under synthetic as well as real-world conditions.
AFRIKAANSE OPSOMMING: Struktuur vanuit Beweging is 'n rekenaar-visie probleem waarin die 3d beweging van 'n kamera deur 'n ruimte, asook die 3d struktuur van die ruimte, bepaal moet word slegs vanuit die 2d beelde in die beeldreeks wat deur die kamera geneem word. 'n Verskeie reeks oplossings, gebaseer op die Kalman filter, is reeds voorgestelom die probleem op te los. Meeste van die oplossings implementeer die "Extended Kalman filter", of EKF. Ons stel 'n algoritme voor, gebaseer op 'n nuwe nie-lineêre benadering tot die Kalman filter, die sogenaamde "Unscented Kalman filter", of UKF. Hierdie algoritme bepaal die struktuur en beweging onder 'n perspektief-projeksie kamera. Daar word getoon dat die algoritme stabiel en akkuraat funskioneer onder sintetiese sowel as reële toevoer.
Rabaud, Vincent C. "Manifold learning techniques for non-rigid structure from motion." Diss., [La Jolla, Calif.] : University of California, San Diego, 2009. http://wwwlib.umi.com/cr/ucsd/fullcit?p3344538.
Повний текст джерелаTitle from first page of PDF file (viewed March 13, 2009). Available via ProQuest Digital Dissertations. Vita. Includes bibliographical references (p. 96-100).
Dietrich, James. "Applications of Structure-from-Motion Photogrammetry to Fluvial Geomorphology." Thesis, University of Oregon, 2015. http://hdl.handle.net/1794/18701.
Повний текст джерелаLi, Yanhua. "Efficient recursive factorization methods for determining structure from motion." Title page, abstract and contents only, 2000. http://web4.library.adelaide.edu.au/theses/09PH/09phl6929.pdf.
Повний текст джерелаMehdi, Wasan. "Structure evaluation of computer human animation quality." Thesis, University of Bedfordshire, 2013. http://hdl.handle.net/10547/322822.
Повний текст джерелаWu, Xiong-Jian. "Motion and wave load analyses of large offshore structures and special vessels in waves." Thesis, Brunel University, 1990. http://bura.brunel.ac.uk/handle/2438/7865.
Повний текст джерелаSilva, Bruno Marques Ferreira da. "Odometria visual baseada em t?cnicas de structure from motion." Universidade Federal do Rio Grande do Norte, 2011. http://repositorio.ufrn.br:8080/jspui/handle/123456789/15364.
Повний текст джерелаCoordena??o de Aperfei?oamento de Pessoal de N?vel Superior
Visual Odometry is the process that estimates camera position and orientation based solely on images and in features (projections of visual landmarks present in the scene) extraced from them. With the increasing advance of Computer Vision algorithms and computer processing power, the subarea known as Structure from Motion (SFM) started to supply mathematical tools composing localization systems for robotics and Augmented Reality applications, in contrast with its initial purpose of being used in inherently offline solutions aiming 3D reconstruction and image based modelling. In that way, this work proposes a pipeline to obtain relative position featuring a previously calibrated camera as positional sensor and based entirely on models and algorithms from SFM. Techniques usually applied in camera localization systems such as Kalman filters and particle filters are not used, making unnecessary additional information like probabilistic models for camera state transition. Experiments assessing both 3D reconstruction quality and camera position estimated by the system were performed, in which image sequences captured in reallistic scenarios were processed and compared to localization data gathered from a mobile robotic platform
Odometria Visual ? o processo pelo qual consegue-se obter a posi??o e orienta??o de uma c?mera, baseado somente em imagens e consequentemente, em caracter?sticas (proje??es de marcos visuais da cena) nelas contidas. Com o avan?o nos algoritmos e no poder de processamento dos computadores, a sub?rea de Vis?o Computacional denominada de Structure from Motion (SFM) passou a fornecer ferramentas que comp?em sistemas de localiza??o visando aplica??es como rob?tica e Realidade Aumentada, em contraste com o seu prop?sito inicial de ser usada em aplica??es predominantemente offline como reconstru??o 3D e modelagem baseada em imagens. Sendo assim, este trabalho prop?e um pipeline de obten??o de posi??o relativa que tem como caracter?sticas fazer uso de uma ?nica c?mera calibrada como sensor posicional e ser baseado interamente nos modelos e algoritmos de SFM. T?cnicas usualmente presentes em sistemas de localiza??o de c?mera como filtros de Kalman e filtros de part?culas n?o s?o empregadas, dispensando que informa??es adicionais como um modelo probabil?stico de transi??o de estados para a c?mera sejam necess?rias. Experimentos foram realizados com o prop?sito de avaliar tanto a reconstru??o 3D quanto a posi??o de c?mera retornada pelo sistema, atrav?s de sequ?ncias de imagens capturadas em ambientes reais de opera??o e compara??es com um ground truth fornecido pelos dados do od?metro de uma plataforma rob?tica
Julià, Ferré Ma Carme. "Missing Data Matrix Factorization Addressing the Structure from Motion Problem." Doctoral thesis, Universitat Autònoma de Barcelona, 2008. http://hdl.handle.net/10803/5785.
Повний текст джерелаEn el cas de matrius de trajectòries corresponents a punts característics que pertanyen a diversos objectes, les tècniques de factorització no es poden aplicar directament per
obtenir el moviment i la forma de cada objecte, ja que les trajectòries no estan ordenades per objectes. A més a més, s'ha de tenir en compte un altre problema: l'estimació del rang de la matriu de trajectòries. El problema és que amb forats, el rang de la matriu no pot ser calculat directament. Per altra banda, com que hi ha múltiples objectes, és difícil d'estimar-lo, sense utilitzar informació com ara nombre d'objectes o tipus de moviment d'aquests. Presentem una tècnica per estimar el rang d'una matriu de trajectòries amb forats. La idea és que, si les trajectòries pertanyen a objectes rígids, la freqüència espectral de la matriu de trajectòries inicial no hauria de variar un cop la matriu ha estat emplenada. Els forats de la matriu són emplenats amb un mètode de factorització, considerant diferents valors per al rang de la matriu. Al mateix temps, el rang de la matriu de trajectòries és estimat fent servir una mesura que compara la freqüència espectral de cada matriu emplenada amb la de la matriu inicial. El proper pas consisteix en segmentar les trajectòries segons el seu moviment. Finalment, qualsevol tècnica d'Estructura a partir de Moviment per a un únic objecte pot ser aplicada per trobar el moviment i la forma de cada objecte.
Intentem aplicar la metodologia proposada per al problema de l'Estructura a partir de Moviment a d'altres aplicacions, no només dins el camp de la visió per computador. En particular, l'objectiu és adaptar els mètodes Alternats per poder aplicar-los a diferents problemes de dimensionalitat reduïda. Una de les possibles aplicacions és la fotometria: la idea és recuperar la reflectància i les normals a la superfície i la direcció de la llum en cada imatge, a partir d'imatges obtingudes sota diferents condicions de llum. En una segona aplicació, l'objectiu és adaptar els mètodes Alternats per poder omplir els forats en una matriu de dades provinents d'expressions de gens. Aquestes matrius són generades amb la informació que proporcionen els DNA microarrays. Finalment, els mètodes Alternats són aplicats a matrius de dades de sistemes de recomanació, molt usats en E-commerce. Aquestes matrius contenen puntuacions que els usuaris han donat a certs productes. La idea és predir les puntuacions que un usuari concret donaria a altres productes, utilitzant la informació emmagatzemada en el sistema.
This work is focused on the missing data matrix factorization addressing the Structure from Motion (SFM) problem. The aim is to decompose a matrix of feature point trajectories into the motion and shape matrices, which contain the relative camera-object motion and the 3D positions of tracked feature points, respectively. This decomposition can be found by using the fact that the matrix of trajectories has a reduced rank. Although several techniques have been proposed to tackle this problem, they may give undesirable results when the percentage of missing data is high. An iterative multiresolution scheme is presented to deal with matrices with high percentages of missing data. Experimental results show the viability of the proposed approach.
In the multiple objects case, factorization techniques can not be directly applied to obtain the SFM of every object, since trajectories are not sorted into different objects. Furthermore, another problem should be faced out: the estimation of the rank of the matrix of trajectories. The problem is that, in this case, the rank of the matrix of trajectories is not bounded, since any prior knowledge about the number of objects nor about their motion is used. This problem becomes more difficult with missing data, since singular values can not be computed to estimate the rank. A technique to estimate the rank of a missing data matrix of trajectories is presented. The good performance of the proposed technique is empirically shown considering sequences with both, synthetic and real data. Once the rank is estimated and the matrix of trajectories is full, the motion segmentation of trajectories is computed. Finally, any factorization technique for the single object case gives the shape and motion of every object.
In addition to the SFM problem, this thesis also shows other applications that can be addressed by means of factorization techniques. Concretely, the Alternation technique, which is used through the thesis, is adapted to address each particular problem. The first proposed application is the photometric stereo: the goal is to recover the reflectance and surface normals and the light source direction at each frame, from a set of images taken under different lighting conditions. In a second application, the aim is to fill in missing data in gene expression matrices by using the Alternation technique. Finally, the Alternation technique is adapted to be applied in recommender systems, widely considered in E-commerce. For each application, experimental results are given in order to show the good performance of the proposed Alternation-based strategy.
Baker, Patrick Terry. "Structure from motion on textures theory and application to calibration /." College Park, Md. : University of Maryland, 2005. http://hdl.handle.net/1903/2371.
Повний текст джерелаThesis research directed by: Computer Science. Title from t.p. of PDF. Includes bibliographical references. Published by UMI Dissertation Services, Ann Arbor, Mich. Also available in paper.
Bastanlar, Yalin. "Structure-from-motion For Systems With Perspective And Omnidirectional Cameras." Phd thesis, METU, 2009. http://etd.lib.metu.edu.tr/upload/12610833/index.pdf.
Повний текст джерелаOrtiz, Steven Rey. "Structure from motion using omni-directional vision and certainty grids." Texas A&M University, 2004. http://hdl.handle.net/1969.1/1217.
Повний текст джерелаD, M. BAPPY, and MD HAMIDUR RAHMAN. "A Study in 3D Structure Detection Implementing Forward Camera Motion." Thesis, Blekinge Tekniska Högskola, Sektionen för ingenjörsvetenskap, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-2002.
Повний текст джерелаdm_aiub@yahoo.com 008801681006314
Hengel, Anton van den. "Robust estimation of structure from motion in the uncalibrated case." Title page, abstract table of contents only, 2000. http://thesis.library.adelaide.edu.au/adt-SUA/public/adt-SUA20010719.141806.
Повний текст джерелаFathi, Habib. "Videogrammetric roof surveying using a hybrid structure from motion approach." Diss., Georgia Institute of Technology, 2013. http://hdl.handle.net/1853/52972.
Повний текст джерелаStein, Gideon P. (Gideon Pascal). "Geometric and photometric constraints : motion and structure from three views." Thesis, Massachusetts Institute of Technology, 1998. http://hdl.handle.net/1721.1/9959.
Повний текст джерелаIncludes bibliographical references (p. 165-171).
by Gideon P. Stein.
Ph.D.
Pizarro, Oscar. "Large scale structure from motion for autonomous underwater vehicle surveys." Thesis, Massachusetts Institute of Technology, 2004. http://hdl.handle.net/1721.1/39185.
Повний текст джерелаIncludes bibliographical references (p. 177-190).
Our ability to image extended underwater scenes is severely limited by attenuation and backscatter. Generating a composite view from multiple overlapping images is usually the most practical and flexible way around this limitation. In this thesis we look at the general constraints associated with imaging from underwater vehicles for scientific applications - low overlap, non-uniform lighting and unstructured motion - and present a methodology for dealing with these constraints toward a solution of the problem of large area 3D reconstruction. Our approach assumes navigation data is available to constrain the structure from motion problem. We take a hierarchical approach where the temporal image sequence is broken into subsequences that are processed into 3D reconstructions independently. These submaps are then registered to infer their overall layout in a global frame. From this point a bundle adjustment refines camera and structure estimates. We demonstrate the utility of our techniques using real data obtained during a SeaBED AUV coral reef survey. Test tank results with ground truth are also presented to validate the methodology.
by Oscar Pizarro.
Ph.D.
Miller, Jordan Mitchell. "Estimation of individual tree metrics using structure-from-motion photogrammetry." Thesis, University of Canterbury. Geography, 2015. http://hdl.handle.net/10092/11035.
Повний текст джерелаBedell, Emily Jane. "Unmanned Aerial Vehicle Based Structure from Motion Biomass Inventory Estimates." Thesis, Portland State University, 2017. http://pqdtopen.proquest.com/#viewpdf?dispub=10244001.
Повний текст джерелаRiparian vegetation restoration efforts demand cost effective, accurate, and replicable impact assessments. In this thesis a method is presented using an Unmanned Aerial Vehicle (UAV) equipped with a GoPro digital camera to collect photogrammetric data of a 2.02-acre riparian restoration. A three-dimensional point cloud was created from the photos using Structure from Motion (SfM) techniques. The point cloud was analyzed and compared to traditional, ground-based monitoring techniques. Ground truth data collected using the status-quo approach was collected on 6.3% of the study site and averaged across the entire site to report stem heights in stems/acre in three height classes, 0-3 feet, 3-7 feet, and greater than 7 feet. The project site was divided into four analysis sections, one for derivation of parameters used in the UAV data analysis, and the remaining three sections reserved for method validation. The most conservative of several methods tested comparing the ground truth data to the UAV generated data produced an overall error of 21.6% and indicated an r2 value of 0.98. A Bland Altman analysis indicated a 99% probability that the UAV stems/plot result will be within 159 stems/plot of the ground truth data. The ground truth data is reported with an 80% confidence interval of +/- 844 stems/plot, thus the UAV was able to estimate stems well within this confidence interval. Further research is required to validate this method longitudinally at this same site and across varying ecologies. These results suggest that UAV derived environmental impact assessments at riparian restoration sites may offer competitive performance and value.
Chakraborty, Manali. "Real-time image-based motion detection using color and structure." To access this resource online via ProQuest Dissertations and Theses @ UTEP, 2009. http://0-proquest.umi.com.lib.utep.edu/login?COPT=REJTPTU0YmImSU5UPTAmVkVSPTI=&clientId=2515.
Повний текст джерелаBedell, Emily Jane. "Unmanned Aerial Vehicle Based Structure from Motion Biomass Inventory Estimates." PDXScholar, 2016. https://pdxscholar.library.pdx.edu/open_access_etds/3368.
Повний текст джерелаLinn, Anthony B. "A computational study of turbulent structure formation." Link to electronic thesis, 2007. http://www.wpi.edu/Pubs/ETD/Available/etd-042607-093941/.
Повний текст джерелаArmistead, Corrine Chapman. "Applications of 'Structure from Motion' Photogrammetry to River Channel Change Studies." Thesis, Boston College, 2013. http://hdl.handle.net/2345/3086.
Повний текст джерелаThis study considers the feasibility and accuracy of using the Structure from Motion (SfM) technique to quantify changes in stream channel morphology. The SfM method utilizes common points across multiple photographs to create a three-dimensional representation of a study area. This model can then be georeferenced using ground control points. The camera locations and optics do not need to be known in this technique, making it simpler to implement in the field than traditional photogrammetry or ground-based lidar methods. Preliminary testing of this method was conducted in and around the Boston College campus during summer 2012 to determine the most appropriate tools and data collection plan for further fieldwork. I then applied the SfM method to a field site on the Souhegan River in southern New Hampshire, where I photographed two cross sections (one boulder-bedded, one sand-bedded) using a camera mounted on a 4.8 m pole. On the same day, I surveyed both cross sections using a total station with mm-scale accuracy. Inputting the photographs into the Agisoft PhotoScan software used for SfM reconstruction yielded several noteworthy results. First, when certain conditions are met, the model generated through SfM, built from a complex, high density (for example ~2,900 points per m2) point cloud, can then be used to deduce elevation data. Based on a point-by-point comparison, the SfM cross section averaged 3.6 cm (±3.4 cm standard deviation) higher than the total station survey. In other portions of the study site imaged for SfM reconstruction, a variety of difficulties prevented the development of a georeferenced three-dimensional model. These limitations, including shadowing, vegetation, camera vantage point, and location of ground control points, can be minimized in future studies to allow for better use of the SfM technique. As results of this study demonstrate, SfM reconstruction has the potential to generate accurate topographic data, which will be a powerful tool for future geomorphic studies, particularly for sites with relatively sparse vegetation and limited water
Thesis (BS) — Boston College, 2013
Submitted to: Boston College. College of Arts and Sciences
Discipline: Geology & Geophysics Honors Program
Discipline: Department of Earth and Environmental Sciences
Yeh, Tien-Chiang. "Effects of Taiwan orography on the motion and structure of typhoons." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School; Available from the National Technical Information Service, 1992. http://handle.dtic.mil/100.2/ADA261819.
Повний текст джерелаDissertation supervisor(s): Chih-Pei Chang, Russell L. Elsberry. "December 1992." Bibliography: p. 279-282. Also available online.
Guan, Hao. "Local features, structure-from-motion and view synthesis in spherical video." Thesis, University of York, 2016. http://etheses.whiterose.ac.uk/17414/.
Повний текст джерелаLy, Dieu Sang. "Structure from motion with hybrid cameras using point and line features." Amiens, 2011. http://www.theses.fr/2011AMIE0111.
Повний текст джерелаStructure from motion is a widely studied problem in computer vision. It refers to the estimation of camera motion and three-dimensional structure of the scene. There exist numerous solutions to structure from motion problems, varying in types of vision equipment, kinds of image feature and estimation process. Most of them coped with perspective or omnidirectional vision but very few with both. Combining the good resolution provided by perspective cameras and the wide field of view of omnidirectional ones has become an attractive trend. For this reason, we seek for an approach that is applicable to both of these vision sensors. We propose a structure from motion algorithm using lines as this feature possesses many advantageous characteristics over points, especially in urban environment. This method consists of linear motion estimation based on line correspondences, 3D reconstruction and bundle adjustment to refine the camera and structure parameters. Besides lines, points can be integrated in our translation estimation to improve its performance. The contributions of this thesis concern the applicability of the proposed method to any type of central projection cameras including fish-eye ones, the advantage of using line images, and the exploitation of both point and line features