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Relevant bibliographies by topics / Visual recognition system / Dissertations / Theses

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Dissertations / Theses on the topic 'Visual recognition system'

Author: Grafiati

Published: 4 June 2021

Last updated: 6 February 2022

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1

Campbell, Larry W. "An intelligent tutor system for visual aircraft recognition." Thesis, Monterey, California: Naval Postgraduate School, 1990. http://hdl.handle.net/10945/27723.

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Approved for public release; distribution is unlimited.<br>Visual aircraft recognition (VACR) is a critical skill for U.S. Army Short Range Air Defense (SHORAD) soldiers. It is the most reliable means of identifying aircraft, however VACR skills are not easy to teach or learn, and once learned they are highly degradable. The numerous training aids that exist to help units train soldiers require qualified instructors who are not always available. Also, the varying degrees of proficiency among soldiers make group training less than ideal. In an attempt to alleviate the problems in most VASC trai

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2

Dong, Junda. "Designing a Visual Front End in Audio-Visual Automatic Speech Recognition System." DigitalCommons@CalPoly, 2015. https://digitalcommons.calpoly.edu/theses/1382.

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Audio-visual automatic speech recognition (AVASR) is a speech recognition technique integrating audio and video signals as input. Traditional audio-only speech recognition system only uses acoustic information from an audio source. However the recognition performance degrades significantly in acoustically noisy environments. It has been shown that visual information also can be used to identify speech. To improve the speech recognition performance, audio-visual automatic speech recognition has been studied. In this paper, we focus on the design of the visual front end of an AVASR system, which

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3

Wojnowski, Christine. "Reasoning with visual knowledge in an object recognition system /." Online version of thesis, 1990. http://hdl.handle.net/1850/10596.

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4

Sun, Yongbin Ph D. Massachusetts Institute of Technology. "An RFID-based visual recognition system for the retail industry." Thesis, Massachusetts Institute of Technology, 2016. http://hdl.handle.net/1721.1/104277.

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Thesis: S.M., Massachusetts Institute of Technology, Department of Mechanical Engineering, 2016.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (pages 63-67).<br>In this thesis, I aim to build an accurate fine-grained retail product recognition system for improving customer in-store shopping experience. To achieve high accuracy, I developed a two-phase visual recognition scheme to identify the viewed retail product by verifying different types of visual features. The proposed scheme is robust enough to distinguish visually similar products in the tests. However

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Koprnicky, Miroslav. "Towards a Versatile System for the Visual Recognition of Surface Defects." Thesis, University of Waterloo, 2005. http://hdl.handle.net/10012/888.

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Automated visual inspection is an emerging multi-disciplinary field with many challenges; it combines different aspects of computer vision, pattern recognition, automation, and control systems. There does not exist a large body of work dedicated to the design of generalized visual inspection systems; that is, those that might easily be made applicable to different product types. This is an important oversight, in that many improvements in design and implementation times, as well as costs, might be realized with a system that could easily be made to function in different production enviro

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Sjöholm, Alexander. "Closing the Loop : Mobile Visual Location Recognition." Thesis, Linköpings universitet, Datorseende, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-112547.

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Visual simultaneous localization and mapping (SLAM) as field has been researched for ten years, but with recent advances in mobile performance visual SLAM is entering the consumer market in a completely new way. A visual SLAM system will however be sensitive to non cautious use that may result in severe motion, occlusion or poor surroundings in terms of visual features that will cause the system to temporarily fail. The procedure of recovering from such a fail is called relocalization. Together with two similar problems localization, to find your position in an existing SLAM session, and loop

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Su, Ying-fung. "Role of temporal texture in visual system exploration with computer simulations /." Click to view the E-thesis via HKUTO, 2010. http://sunzi.lib.hku.hk/hkuto/record/B43703768.

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Kaplan, Bernhard. "Modeling prediction and pattern recognition in the early visual and olfactory systems." Doctoral thesis, KTH, Beräkningsbiologi, CB, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-166127.

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Our senses are our mind's window to the outside world and determine how we perceive our environment.Sensory systems are complex multi-level systems that have to solve a multitude of tasks that allow us to understand our surroundings.However, questions on various levels and scales remain to be answered ranging from low-level neural responses to behavioral functions on the highest level.Modeling can connect different scales and contribute towards tackling these questions by giving insights into perceptual processes and interactions between processing stages.In this thesis, numerical simulations

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Adjei-Kumi, Theophilus. "The development of an intelligent system for visual simulation of construction projects." Thesis, University of Strathclyde, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.311845.

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Su, Ying-fung, and 蘇盈峰. "Role of temporal texture in visual system: exploration with computer simulations." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2010. http://hub.hku.hk/bib/B43703768.

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11

Isik, Leyla. "The dynamics of invariant object and action recognition in the human visual system." Thesis, Massachusetts Institute of Technology, 2015. http://hdl.handle.net/1721.1/98000.

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Thesis: Ph. D., Massachusetts Institute of Technology, Computational and Systems Biology Program, 2015.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (pages 123-138).<br>Humans can quickly and effortlessly recognize objects, and people and their actions from complex visual inputs. Despite the ease with which the human brain solves this problem, the underlying computational steps have remained enigmatic. What makes object and action recognition challenging are identity-preserving transformations that alter the visual appearance of objects and actions, such as c

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12

Stone, Thomas Jonathan. "Mechanisms of place recognition and path integration based on the insect visual system." Thesis, University of Edinburgh, 2017. http://hdl.handle.net/1842/28909.

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Animals are often able to solve complex navigational tasks in very challenging terrain, despite using low resolution sensors and minimal computational power, providing inspiration for robots. In particular, many species of insect are known to solve complex navigation problems, often combining an array of different behaviours (Wehner et al., 1996; Collett, 1996). Their nervous system is also comparatively simple, relative to that of mammals and other vertebrates. In the first part of this thesis, the visual input of a navigating desert ant, Cataglyphis velox, was mimicked by capturing images in

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Amundberg, Joel, and Martin Moberg. "System Agnostic GUI Testing : Analysis of Augmented Image Recognition Testing." Thesis, Blekinge Tekniska Högskola, Institutionen för programvaruteknik, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-21441.

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14

Eccles, John. "Stochastic relaxation labelling of visual features in a multi-sensor sensory system for robotic assembly." Thesis, Heriot-Watt University, 1994. http://hdl.handle.net/10399/1370.

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15

Wallenberg, Marcus. "Components of Embodied Visual Object Recognition : Object Perception and Learning on a Robotic Platform." Licentiate thesis, Linköpings universitet, Datorseende, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-93812.

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Object recognition is a skill we as humans often take for granted. Due to our formidable object learning, recognition and generalisation skills, it is sometimes hard to see the multitude of obstacles that need to be overcome in order to replicate this skill in an artificial system. Object recognition is also one of the classical areas of computer vision, and many ways of approaching the problem have been proposed. Recently, visually capable robots and autonomous vehicles have increased the focus on embodied recognition systems and active visual search. These applications demand that systems ca

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Evans, Benjamin D. "Learning transformation-invariant visual representations in spiking neural networks." Thesis, University of Oxford, 2012. https://ora.ox.ac.uk/objects/uuid:15bdf771-de28-400e-a1a7-82228c7f01e4.

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This thesis aims to understand the learning mechanisms which underpin the process of visual object recognition in the primate ventral visual system. The computational crux of this problem lies in the ability to retain specificity to recognize particular objects or faces, while exhibiting generality across natural variations and distortions in the view (DiCarlo et al., 2012). In particular, the work presented is focussed on gaining insight into the processes through which transformation-invariant visual representations may develop in the primate ventral visual system. The primary motivation for

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Rezazadegan, Tavakoli H. (Hamed). "Visual saliency and eye movement:modeling and applications." Doctoral thesis, Oulun yliopisto, 2014. http://urn.fi/urn:isbn:9789526205816.

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Abstract Humans are capable of narrowing their focus on the highlights of visual information in a fraction of time in order to handle enormous mass of data. Akin to human, computers should deal with a tremendous amount of visual information. To replicate such a focusing mechanism, computer vision relies on techniques that filter out redundant information. Consequently, saliency has recently been a popular subject of discussion in the computer vision community, though it is an old subject matter in the disciplines of cognitive sciences rather than computer science. The reputation of saliency te

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North, Ben. "Learning dynamical models for visual tracking." Thesis, University of Oxford, 1998. http://ora.ox.ac.uk/objects/uuid:6ed12552-4c30-4d80-88ef-7245be2d8fb8.

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Using some form of dynamical model in a visual tracking system is a well-known method for increasing robustness and indeed performance in general. Often, quite simple models are used and can be effective, but prior knowledge of the likely motion of the tracking target can often be exploited by using a specially-tailored model. Specifying such a model by hand, while possible, is a time-consuming and error-prone process. Much more desirable is for an automated system to learn a model from training data. A dynamical model learnt in this manner can also be a source of useful information in its own

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Tromans, James Matthew. "Computational neuroscience of natural scene processing in the ventral visual pathway." Thesis, University of Oxford, 2012. http://ora.ox.ac.uk/objects/uuid:b82e1332-df7b-41db-9612-879c7a7dda39.

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Neural responses in the primate ventral visual system become more complex in the later stages of the pathway. For example, not only do neurons in IT cortex respond to complete objects, they also learn to respond invariantly with respect to the viewing angle of an object and also with respect to the location of an object. These types of neural responses have helped guide past research with VisNet, a computational model of the primate ventral visual pathway that self-organises during learning. In particular, previous research has focussed on presenting to the model one object at a time during tr

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Zukauskis, Ronald L. "Tachistoscopic recognition of vertical and horizontal letter symmetry in response to the contralateral organization of the human nervous system." Virtual Press, 2001. http://liblink.bsu.edu/uhtbin/catkey/1221268.

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Eight-letter upper case arrays containing vertically symmetrical (VS), e.g., A-T-U-W, horizontally symmetrical (HS), e.g., B-D-C-E, doubly symmetrical (DS), e.g., H-I-O-X, and non-symmetrical (NS), e.g., F-G-L-R, were tachistoscopically exposed bilaterally for 50 ms. to fifteen male and fifteen female undergraduates. The number of letters correctly recognized for each classification condition was used as the criterion measure. A fixed, two-factor design with the second factor being repeated was analyzed using a repeated measures analysis of variance. Consequent to testing Null Hypothesis 1 (t

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Teichmann, Michael. "A plastic multilayer network of the early visual system inspired by the neocortical circuit." Universitätsverlag der Technischen Universität Chemnitz, 2018. https://monarch.qucosa.de/id/qucosa%3A31832.

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The ability of the visual system for object recognition is remarkable. A better understanding of its processing would lead to better computer vision systems and could improve our understanding of the underlying principles which produce intelligence. We propose a computational model of the visual areas V1 and V2, implementing a rich connectivity inspired by the neocortical circuit. We combined the three most important cortical plasticity mechanisms. 1) Hebbian synaptic plasticity to learn the synapse strengths of excitatory and inhibitory neurons, including trace learning to learn invariant rep

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Beuth, Frederik. "Visual attention in primates and for machines - neuronal mechanisms." Universitätsverlag Chemnitz, 2017. https://monarch.qucosa.de/id/qucosa%3A35655.

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Visual attention is an important cognitive concept for the daily life of humans, but still not fully understood. Due to this, it is also rarely utilized in computer vision systems. However, understanding visual attention is challenging as it has many and seemingly-different aspects, both at neuronal and behavioral level. Thus, it is very hard to give a uniform explanation of visual attention that can account for all aspects. To tackle this problem, this thesis has the goal to identify a common set of neuronal mechanisms, which underlie both neuronal and behavioral aspects. The mechanisms are s

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Lindqvist, Zebh. "Design Principles for Visual Object Recognition Systems." Thesis, Luleå tekniska universitet, Institutionen för system- och rymdteknik, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-80769.

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Today's smartphones are capable of accomplishing far more advanced tasks than reading emails. With the modern framework TensorFlow, visual object recognition becomes possible using smartphone resources. This thesis shows that the main challenge does not lie in developing an artifact which performs visual object recognition. Instead, the main challenge lies in developing an ecosystem which allows for continuous improvement of the system’s ability to accomplish the given task without laborious and inefficient data collection. This thesis presents four design principles which contribute to an eff

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Freytag, Alexander [Verfasser]. "Lifelong Learning for Visual Recognition Systems / Alexander Freytag." München : Verlag Dr. Hut, 2017. http://d-nb.info/1126297100/34.

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Rao, Ram Raghavendra. "Audio-visual interaction in multimedia." Diss., Georgia Institute of Technology, 1998. http://hdl.handle.net/1853/13349.

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Rabi, Gihad. "Visual speech recognition by recurrent neural networks." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk2/tape16/PQDD_0010/MQ36169.pdf.

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Erhard, Matthew John. "Visual intent recognition in a multiple camera environment /." Online version of thesis, 2006. http://hdl.handle.net/1850/3365.

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Barb, Adrian S. "Knowledge representation and exchange of visual patterns using semantic abstractions." Diss., Columbia, Mo. : University of Missouri-Columbia, 2008. http://hdl.handle.net/10355/6674.

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Thesis (Ph. D.)--University of Missouri-Columbia, 2008.<br>The entire dissertation/thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file (which also appears in the research.pdf); a non-technical general description, or public abstract, appears in the public.pdf file. Title from title screen of research.pdf file (viewed on July 21, 2009) Includes bibliographical references.

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Khan, Rizwan Ahmed. "Détection des émotions à partir de vidéos dans un environnement non contrôlé." Thesis, Lyon 1, 2013. http://www.theses.fr/2013LYO10227/document.

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Dans notre communication quotidienne avec les autres, nous avons autant de considération pour l’interlocuteur lui-même que pour l’information transmise. En permanence coexistent en effet deux modes de transmission : le verbal et le non-verbal. Sur ce dernier thème intervient principalement l’expression faciale avec laquelle l’interlocuteur peut révéler d’autres émotions et intentions. Habituellement, un processus de reconnaissance d’émotions faciales repose sur 3 étapes : le suivi du visage, l’extraction de caractéristiques puis la classification de l’expression faciale. Pour obtenir un proces

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Athukorala, Aravinda S. "A strategy for the visual recognition of objects in an industrial environment." Thesis, University of Edinburgh, 1985. http://hdl.handle.net/1842/4860.

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This thesis is concerned with the problem of recognizing industrial objects rapidly and flexibly. The system design is based on a general strategy that consists of a generalized local feature detector, an extended learning algorithm and the use of unique structure of the objects. Thus, the system is not designed to be limited to the industrial environment. The generalized local feature detector uses the gradient image of the scene to provide a feature description that is insensitive to a range of imaging conditions such as object position, and overall light intensity. The feature detector is b

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Gobin, Paméla. "Propagation de l’activation entre le lexique orthographique et le système affectif." Thesis, Bordeaux 2, 2011. http://www.theses.fr/2011BOR21821/document.

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L’objectif de cette thèse est d’étudier l’activation du système affectif médiée par le lexique orthographique au cours de la reconnaissance visuelle des mots. Plus précisément, nous avons étudié l’influence du voisinage orthographique émotionnel négatif et la sensibilité de l’amorçage orthographique à la valence négative de voisins plus fréquents dans une tâche de décision lexicale (TDL) combinée à un paradigme d’amorçage. Le recueil de mesures comportementales et électrophysiologiques (potentiels évoqués) nous a également permis d’évaluer la précocité de l’activation des composantes émotionne

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Bridges, Seth. "Low-power visual pattern classification in analog VLSI /." Thesis, Connect to this title online; UW restricted, 2006. http://hdl.handle.net/1773/6984.

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Tivive, Fok Hing Chi. "A new class of convolutional neural networks based on shunting inhibition with applications to visual pattern recognition." Access electronically, 2006. http://www.library.uow.edu.au/adt-NWU/public/adt-NWU20061025.164437/index.html.

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Jafari, Moghadamfard Ramtin, and Saeid Payvar. "The Potential of Visual Features : to Improve Voice Recognition Systems in Vehicles Noisy Environment." Thesis, Högskolan i Halmstad, Sektionen för Informationsvetenskap, Data– och Elektroteknik (IDE), 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-27273.

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Multimodal biometric systems have been subject of study in recent decades, theirunique characteristic of Anti spoofing and liveness detection plus ability to deal withaudio noise made them technology candidates for improving current systems such asvoice recognition, verification and identification systems.In this work we studied feasibility of incorporating audio-visual voice recognitionsystem for dealing with audio noise in the truck cab environment. Speech recognitionsystems suffer from excessive noise from the engine and road traffic and cars stereosystem. To deal with this noise different

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Li, Jun. "Image texture decomposition and application in food quality analysis /." free to MU campus, to others for purchase, 2001. http://wwwlib.umi.com/cr/mo/fullcit?p3036842.

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Penatti, Otávio Augusto Bizetto 1984. "Image and video representations based on visual = Representações de imagens e vídeos baseadas em dicionários visuais." [s.n.], 2012. http://repositorio.unicamp.br/jspui/handle/REPOSIP/275667.

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Orientador: Ricardo da Silva Torres<br>Tese (doutorado) - Universidade Estadual de Campinas, Instituto de Computação<br>Made available in DSpace on 2018-08-22T02:56:23Z (GMT). No. of bitstreams: 1 Penatti_OtavioAugustoBizetto_D.pdf: 9249507 bytes, checksum: cb1c8b77d85ae6c83d2572ab7848025b (MD5) Previous issue date: 2012<br>Resumo: Codificar de maneira eficaz as propriedades visuais de conteúdo multimídia é um desafio. Uma abordagem popular para tratar esse desafio consiste no modelo de dicionários visuais. Neste modelo, imagens são consideradas como um conjunto desordenado de característica

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Ma, Xiren. "Deep Learning-Based Vehicle Recognition Schemes for Intelligent Transportation Systems." Thesis, Université d'Ottawa / University of Ottawa, 2021. http://hdl.handle.net/10393/42247.

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With the increasing highlighted security concerns in Intelligent Transportation System (ITS), Vision-based Automated Vehicle Recognition (VAVR) has attracted considerable attention recently. A comprehensive VAVR system contains three components: Vehicle Detection (VD), Vehicle Make and Model Recognition (VMMR), and Vehicle Re-identification (VReID). These components perform coarse-to-fine recognition tasks in three steps. The VAVR system can be widely used in suspicious vehicle recognition, urban traffic monitoring, and automated driving system. Vehicle recognition is complicated due to the su

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Kozlovski, Nikolai. "TEXT-IMAGE RESTORATION AND TEXT ALIGNMENT FOR MULTI-ENGINE OPTICAL CHARACTER RECOGNITION SYSTEMS." Master's thesis, University of Central Florida, 2006. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/3607.

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Previous research showed that combining three different optical character recognition (OCR) engines (ExperVision® OCR, Scansoft OCR, and Abbyy® OCR) results using voting algorithms will get higher accuracy rate than each of the engines individually. While a voting algorithm has been realized, several aspects to automate and improve the accuracy rate needed further research. This thesis will focus on morphological image preprocessing and morphological text restoration that goes to OCR engines. This method is similar to the one used in restoration partial finger prints. Series of morphol

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Ndiour, Ibrahima Jacques. "Dynamic curve estimation for visual tracking." Diss., Georgia Institute of Technology, 2010. http://hdl.handle.net/1853/37283.

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This thesis tackles the visual tracking problem as a target contour estimation problem in the face of corrupted measurements. The major aim is to design robust recursive curve filters for accurate contour-based tracking. The state-space representation adopted comprises of a group component and a shape component describing the rigid motion and the non-rigid shape deformation respectively; filtering strategies on each component are then decoupled. The thesis considers two implicit curve descriptors, a classification probability field and the traditional signed distance function, and aims to deve

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Osorio, Fernando Santos. "Um estudo sobre reconhecimento visual de caracteres através de redes neurais." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 1991. http://hdl.handle.net/10183/24184.

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Este trabalho apresenta um estudo sabre reconhecimento visual de caracteres através da utilização das redes neurais. São abordados os assuntos referentes ao Processamento Digital de Imagens, aos sistemas de reconhecimento de caracteres, e as redes neurais. Ao final é apresentada uma proposta de implementação de um sistema OCR orientado ao reconhecimento de caracteres impressos, que utiliza uma rede neural desenvolvida especificamente para esta aplicação. O sistema proposto, que é denominado de sistema N2OCR, possui um protótipo implementado que também é descrito neste trabalho. Em relação ao P

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Makrushin, Andrey [Verfasser], and Jana [Akademischer Betreuer] Dittmann. "Visual recognition systems in a car passenger compartment with the focus on facial driver identification / Andrey Makrushin. Betreuer: Jana Dittmann." Magdeburg : Universitätsbibliothek, 2014. http://d-nb.info/1054638888/34.

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Wåhlén, Herje. "Voice Assisted Visual Search." Thesis, Umeå universitet, Institutionen för informatik, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-38204.

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The amount and variety of visual information presented on electronic displays is ever-increasing. Finding and acquiring relevant information in the most effective manner possible is of course desirable. While there are advantages to presenting a large number of information objects on a screen at the same time, it can also hinder fast detection of objects of interest. One way of addressing that problem is Voice Assisted Visual Search (VAVS). A user supported by VAVS calls out an object of interest and is immediately guided to the object by a highlighting cue. This thesis is an initial study of

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Lee, Jehoon. "Statistical and geometric methods for visual tracking with occlusion handling and target reacquisition." Diss., Georgia Institute of Technology, 2012. http://hdl.handle.net/1853/43582.

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Computer vision is the science that studies how machines understand scenes and automatically make decisions based on meaningful information extracted from an image or multi-dimensional data of the scene, like human vision. One common and well-studied field of computer vision is visual tracking. It is challenging and active research area in the computer vision community. Visual tracking is the task of continuously estimating the pose of an object of interest from the background in consecutive frames of an image sequence. It is a ubiquitous task and a fundamental technology of computer vision th

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Pereira, Joaquim Jose Fantin. "Uma ferramenta de programação visual para previsão e reconhecimento de padrões." [s.n.], 2007. http://repositorio.unicamp.br/jspui/handle/REPOSIP/259920.

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Orientador: Takaaki Ohishi<br>Dissertação (mestrado) - Universidade Estadual de Campinas, Faculdade de Engenharia Eletrica e de Computação<br>Made available in DSpace on 2018-08-10T05:34:59Z (GMT). No. of bitstreams: 1 Pereira_JoaquimJoseFantin_M.pdf: 1686812 bytes, checksum: 5ff18327a2f501a5035fbf6c56ae0eda (MD5) Previous issue date: 2007<br>Resumo: A tomada de decisão, em qualquer setor e nos mais diversos níveis, é um processo cada vez mais complexo, principalmente em função do nível de incerteza em relação ao futuro. Neste contexto, a disponibilidade de previsões torna-se um fator import

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Blanco, Myra. "Relationship Between Driver Characteristics, Nighttime Driving Risk Perception, and Visual Performance under Adverse and Clear Weather Conditions and Different Vision Enhancement Systems." Diss., Virginia Tech, 2002. http://hdl.handle.net/10919/27806.

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Vehicle crashes remain the leading cause of accidental death and injuries in the United States, claiming tens of thousands of lives and injuring millions of people each year. Many of these crashes occur during nighttime, where a variety of modifiers affect the risk of a crash, primarily through the reduction of object visibility. Furthermore, many of these modifiers also affect the nighttime mobility of older drivers, who avoid driving during the nighttime. Thus, a two-fold need exists for new technologies that enhance night visibility. Two separate studies were completed as part of this re

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Kenklies, Kai Malte. "Instructing workers through a head-worn Augmented Reality display and through a stationary screen on manual industrial assembly tasks : A comparison study." Thesis, Umeå universitet, Institutionen för informatik, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-172888.

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It was analyzed if instructions on a head-worn Augmented Reality display (AR-HWD) are better for manual industrial assembly tasks than instructions on a stationary screen. A prototype was built which consisted of virtual instruction screens for two example assembly tasks. In a comparison study participants performed the tasks with instructions through an AR-HWD and alternatively through a stationary screen. Questionnaires, interviews and observation notes were used to evaluate the task performances and the user experience. The study revealed that the users were excited and enjoyed trying the t

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Lam, Benny, and Jakob Nilsson. "Creating Good User Experience in a Hand-Gesture-Based Augmented Reality Game." Thesis, Linköpings universitet, Institutionen för datavetenskap, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-156878.

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The dissemination of new innovative technology requires feasibility and simplicity. The problem with marker-based augmented reality is similar to glove-based hand gesture recognition: they both require an additional component to function. This thesis investigates the possibility of combining markerless augmented reality together with appearance-based hand gesture recognition by implementing a game with good user experience. The methods employed in this research consist of a game implementation and a pre-study meant for measuring interactive accuracy and precision, and for deciding upon which g

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Hill, Evelyn June. "Applying statistical and syntactic pattern recognition techniques to the detection of fish in digital images." University of Western Australia. School of Mathematics and Statistics, 2004. http://theses.library.uwa.edu.au/adt-WU2004.0070.

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This study is an attempt to simulate aspects of human visual perception by automating the detection of specific types of objects in digital images. The success of the methods attempted here was measured by how well results of experiments corresponded to what a typical human’s assessment of the data might be. The subject of the study was images of live fish taken underwater by digital video or digital still cameras. It is desirable to be able to automate the processing of such data for efficient stock assessment for fisheries management. In this study some well known statistical pattern classif

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Hernández-Vela, Antonio. "From pixels to gestures: learning visual representations for human analysis in color and depth data sequences." Doctoral thesis, Universitat de Barcelona, 2015. http://hdl.handle.net/10803/292488.

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The visual analysis of humans from images is an important topic of interest due to its relevance to many computer vision applications like pedestrian detection, monitoring and surveillance, human-computer interaction, e-health or content-based image retrieval, among others. In this dissertation in learning different visual representations of the human body that are helpful for the visual analysis of humans in images and video sequences. To that end, we analyze both RCB and depth image modalities and address the problem from three different research lines, at different levels of abstraction;

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Dekhtiar, Jonathan. "Deep Learning and unsupervised learning to automate visual inspection in the manufacturing industry." Thesis, Compiègne, 2019. http://www.theses.fr/2019COMP2513.

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La croissance exponentielle des besoins et moyens informatiques implique un besoin croissant d’automatisation des procédés industriels. Ce constat est en particulier visible pour l’inspection visuelle automatique sur ligne de production. Bien qu’étudiée depuis 1970, peine toujours à être appliquée à de larges échelles et à faible coûts. Les méthodes employées dépendent grandement de la disponibilité des experts métiers. Ce qui provoque inévitablement une augmentation des coûts et une réduction de la flexibilité des méthodes employées. Depuis 2012, les avancées dans le domaine associé à l’étude

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