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Dissertations / Theses on the topic 'Feature detection and description'

Author: Grafiati

Published: 3 June 2025

Last updated: 31 July 2025

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1

Fowers, Spencer G. "Limited Resource Feature Detection, Description, and Matching." BYU ScholarsArchive, 2012. https://scholarsarchive.byu.edu/etd/3207.

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The aims of this research work are to develop a feature detection, description, and matching system for low-resource applications. This work was motivated by the need for a vision sensor to assist the flight of a quad-rotor UAV. This application presented a real-world challenge of autonomous drift stabilization using vision sensors. The initial solution implemented a basic feature detector and matching system on an FPGA. The research then pursued ways to improve the vision system. Research began with color feature detection, and the Color Difference of Gaussians feature detector was developed.

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2

Du, Xiaoyun. "Enhanced Contour Description for People Detection in Images." Thesis, Université d'Ottawa / University of Ottawa, 2014. http://hdl.handle.net/10393/31804.

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People detection has been an attractive technology in computer vision. There are many useful applications in our daily life, for instance, intelligent surveillance and driver assistance system. People detection is a challenging matter as people adopt a wide range of poses, wear diverse clothes, and are visible in different kind of backgrounds with significant changes in illumination. In this thesis, some advanced techniques and powerful tools are presented in order to design a robust people detection system. First a baseline model is implemented by combining the Histogram of Oriented Gradients

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3

Westin, Carl-Fredrik. "Feature extraction based on a tensor image description." Licentiate thesis, Linköping University, Linköping University, Computer Vision, 1991. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-54888.

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<p>Feature extraction from a tensor based local image representation introduced by Knutsson in [37] is discussed. The tensor representation keeps statements of structure, certainty of statement and energy separate. Further processing for obtaining new features also having these three entities separate is achieved by the use of a new concept, tensor field filtering. Tensor filters for smoothing and for extraction of circular symmetries are presented and discussed in particular. These methods are used for corner detection and extraction of more global features such as lines in images. A novel me

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4

Nilsson, Niklas. "Feature detection for geospatial referencing." Thesis, Umeå universitet, Institutionen för fysik, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-159809.

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With the drone industry's recent explosive advancement, aerial photography is becoming increasingly important for an array of applications ranging from construction to agriculture. A drone flyover can give a better overview of regions that are difficult to navigate, and is often significantly faster, cheaper and more accurate than man-made sketches and other alternatives. With this increased use comes a growing need for image processing methods to help in analyzing captured photographs. This thesis presents a method for automatic location detection in aerial photographs using databases of aeri

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5

Danielsson, Max, and Thomas Sievert. "Viability of Feature Detection on Sony Xperia Z3 using OpenCL." Thesis, Blekinge Tekniska Högskola, Institutionen för kreativa teknologier, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-10388.

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Context. Embedded platforms GPUs are reaching a level of perfor-mance comparable to desktop hardware. Therefore it becomes inter-esting to apply Computer Vision techniques to modern smartphones.The platform holds different challenges, as energy use and heat gen-eration can be an issue depending on load distribution on the device. Objectives. We evaluate the viability of a feature detector and de-scriptor on the Xperia Z3. Specifically we evaluate the the pair basedon real-time execution, heat generation and performance. Methods. We implement the feature detection and feature descrip-tor pair H

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6

Gundogdu, Erhan. "Feature Detection And Matching Towards Augmented Reality Applications On Mobile Devices." Master's thesis, METU, 2012. http://etd.lib.metu.edu.tr/upload/12614618/index.pdf.

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Local feature detection and its applications in different problems are quite popular in vision research. In order to analyze a scene, its invariant features, which are distinguishable in many views of this scene, are used in pose estimation, object detection and augmented reality. However, required performance metrics might change according to the application type<br>in general, the main metrics are accepted as accuracy and computational complexity. The contributions in this thesis provide improving these metrics and can be divided into three parts, as local feature detection, local feature de

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7

Huang, Chengqiang. "Featured anomaly detection methods and applications." Thesis, University of Exeter, 2018. http://hdl.handle.net/10871/34351.

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Anomaly detection is a fundamental research topic that has been widely investigated. From critical industrial systems, e.g., network intrusion detection systems, to people’s daily activities, e.g., mobile fraud detection, anomaly detection has become the very first vital resort to protect and secure public and personal properties. Although anomaly detection methods have been under consistent development over the years, the explosive growth of data volume and the continued dramatic variation of data patterns pose great challenges on the anomaly detection systems and are fuelling the great deman

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8

Desai, Alok. "An Efficient Feature Descriptor and Its Real-Time Applications." BYU ScholarsArchive, 2015. https://scholarsarchive.byu.edu/etd/5465.

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Finding salient features in an image, and matching them to their corresponding features in another image is an important step for many vision-based applications. Feature description plays an important role in the feature matching process. A robust feature descriptor must works with a number of image deformations and should be computationally efficient. For resource-limited systems, floating point and complex operations such as multiplication and square root are not desirable. This research first introduces a robust and efficient feature descriptor called PRObability (PRO) descriptor that meet

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9

Canelhas, Daniel Ricão. "Truncated Signed Distance Fields Applied To Robotics." Doctoral thesis, Örebro universitet, Institutionen för naturvetenskap och teknik, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:oru:diva-59369.

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This thesis is concerned with topics related to dense mapping of large scale three-dimensional spaces. In particular, the motivating scenario of this work is one in which a mobile robot with limited computational resources explores an unknown environment using a depth-camera. To this end, low-level topics such as sensor noise, map representation, interpolation, bit-rates, compression are investigated, and their impacts on more complex tasks, such as feature detection and description, camera-tracking, and mapping are evaluated thoroughly. A central idea of this thesis is the use of truncated si

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10

Mohammed, Abdulmalik. "Obstacle detection and emergency exit sign recognition for autonomous navigation using camera phone." Thesis, University of Manchester, 2017. https://www.research.manchester.ac.uk/portal/en/theses/obstacle-detection-and-emergency-exit-sign-recognition-for-autonomous-navigation-using-camera-phone(e0224d89-e743-47a4-8c68-52f718457098).html.

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In this research work, we develop an obstacle detection and emergency exit sign recognition system on a mobile phone by extending the feature from accelerated segment test detector with Harris corner filter. The first step often required for many vision based applications is the detection of objects of interest in an image. Hence, in this research work, we introduce emergency exit sign detection method using colour histogram. The hue and saturation component of an HSV colour model are processed into features to build a 2D colour histogram. We backproject a 2D colour histogram to detect emergen

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11

Jelínek, Ondřej. "Podobnost obrazů na základě bodů zájmu." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2015. http://www.nusl.cz/ntk/nusl-220409.

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This paper presents a new object detection method. The method is based on keypoints analysis and their parameters. Computed parameters are used for building a decision model using machine learning methods. The model is able to detect object in the picture based on input data and compares its similarity to the chosen example. The new method is described in detail, its accuracy is evaluated and this accuracy is compared to other existing detectors. The new method’s detection ability is by more than 40% better than detection ability of detectors like SURF. In order to understand the object detect

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Piemontese, Cristiano. "Progettazione e implementazione di una applicazione didattica interattiva per il riconoscimento di oggetti basata sull'algoritmo SIFT." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2016. http://amslaurea.unibo.it/10883/.

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Nell'elaborato viene introdotto l'ambito della Computer Vision e come l'algoritmo SIFT si inserisce nel suo panorama. Viene inoltre descritto SIFT stesso, le varie fasi di cui si compone e un'applicazione al problema dell'object recognition. Infine viene presentata un'implementazione di SIFT in linguaggio Python creata per ottenere un'applicazione didattica interattiva e vengono mostrati esempi di questa applicazione.

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Mykhalchuk, Vasyl. "Correspondance de maillages dynamiques basée sur les caractéristiques." Thesis, Strasbourg, 2015. http://www.theses.fr/2015STRAD010/document.

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Correspondance de forme est un problème fondamental dans de nombreuses disciplines de recherche, tels que la géométrie algorithmique, vision par ordinateur et l'infographie. Communément définie comme un problème de trouver injective/ multivaluée correspondance entre une source et une cible, il constitue une tâche centrale dans de nombreuses applications y compris le transfert de attributes, récupération des formes etc. Dans récupération des formes, on peut d'abord calculer la correspondance entre la forme de requête et les formes dans une base de données, puis obtenir le meilleure correspondan

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Bhatia, Akshay. "Hessian-Laplace feature detector and Haar descriptor for image matching." Thesis, University of Ottawa (Canada), 2007. http://hdl.handle.net/10393/27446.

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In recent years feature matching using invariant features has gained significant importance due to its application in various recognition problems. Such techniques have enabled us to match images irrespective of various geometric and photometric transformations between images. The thesis being presented here focusses on developing such a feature matching technique which can be used to identify corresponding regions in images. A feature detection approach is proposed, which finds features that are invariant to image rotation and scaling, and are also robust to illumination changes. A descriptio

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Aguilera, Carrasco Cristhian Alejandro. "Local feature description in cross-spectral imagery." Doctoral thesis, Universitat Autònoma de Barcelona, 2017. http://hdl.handle.net/10803/457591.

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En los últimos años, el número de aplicaciones de consumo basadas en visión por computadora han incrementado drásticamente. Actualmente, soluciones basadas en visión por computadora pueden ser encontradas en video juegos, aplicaciones móviles y en automóviles, por nombrar algunas. Idealmente, el desempeño de estas aplicaciones debiera ser igual ante cualquier factor externo, como cambios en la iluminación o del clima. Sin embargo, esto no es siempre posible utilizando sólo información del espectro visible, debido a las limitaciones inherentes de las imágenes de esta banda espectral. Razón por

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Oliver, Moll Javier. "PERSON RE-IDENTIFICATION USING RGB-DEPTH CAMERAS." Doctoral thesis, Universitat Politècnica de València, 2015. http://hdl.handle.net/10251/59227.

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[EN] The presence of surveillance systems in our lives has drastically increased during the last years. Camera networks can be seen in almost every crowded public and private place, which generate huge amount of data with valuable information. The automatic analysis of data plays an important role to extract relevant information from the scene. In particular, the problem of person re-identification is a prominent topic that has become of great interest, specially for the fields of security or marketing. However, there are some factors, such as changes in the illumination conditions, variations

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Sharpe, Lauren. "Feature sets for screenshot detection." Monterey, California: Naval Postgraduate School, 2013. http://hdl.handle.net/10945/34741.

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Approved for public release; distribution is unlimited<br>As digital media capacity continues to increase and the cost continues to decrease, digital forensic examiners need progressively more efficient, effective, and tailored tools in order to perform useful media triage. This thesis documents the development of feature sets for classifying images as either screenshots or non-screenshots. Using linear- and intensity-based image information we developed the first (to our knowledge) screenshot detection algorithm. Four feature sets were developed and combinations of these feature sets were tes

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Wang, Aijing. "SELECTIVE AUTOMATIC IMAGE FEATURE DETECTION." Wright State University / OhioLINK, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=wright1316218638.

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Sefidcon, Azimeh. "Feature interactions detection in intelligent networks." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2000. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape4/PQDD_0020/MQ47832.pdf.

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20

Heiberg, Einar Brandt. "Automated feature detection in multidimensional images /." Linköping : Univ, 2004. http://www.bibl.liu.se/liupubl/disp/disp2005/tek917s.pdf.

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21

Gollapudi, Venkata Lakshmi Sirisha. "Services for biological network feature detection." Thesis, University of Nottingham, 2010. http://eprints.nottingham.ac.uk/13022/.

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The complex environment of a living cell contains many molecules interacting in a variety of ways. Examples include the physical interaction between two proteins, or the biochemical interaction between an enzyme and its substrate. A challenge of systems biology is to understand the network of interactions between biological molecules, derived experimentally or computationally. Sophisticated dynamic modelling approaches provide detailed knowledge about single processes or individual pathways. However such methods are far less tractable for holistic cellular models, which are instead represented

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22

Song, Jingping. "Feature selection for intrusion detection system." Thesis, Aberystwyth University, 2016. http://hdl.handle.net/2160/3143de58-208f-405e-ab18-abcecfc8f33b.

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Intrusion detection is an important task for network operators in today?s Internet. Traditional network intrusion detection systems rely on either specialized signatures of previously seen attacks, or on labeled traffic datasets that are expensive and difficult to reproduce for user-profiling to hunt out network attacks. Machine learning methods could be used in this area since they could get knowledge from signatures or as normal-operation profiles. However, there is usually a large volume of data in intrusion detection systems, for both features and instances. Feature selection can be used t

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23

Treash, Katherine (Katherine Diane) 1975. "Feature detection in grayscale aerial images." Thesis, Massachusetts Institute of Technology, 1999. http://hdl.handle.net/1721.1/79989.

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Linguraru, Marius George. "Feature detection in mammographic image analysis." Thesis, University of Oxford, 2004. http://ora.ox.ac.uk/objects/uuid:b92185f0-c7bf-40e1-bc17-bf71065f001f.

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In modern society, cancer has become one of the most terrifying diseases because of its high and increasing death rate. The disease's deep impact demands extensive research to detect and eradicate it in all its forms. Breast cancer is one of the most common forms of cancer, and approximately one in nine women in the Western world will develop it over the course of their lives. Screening programmes have been shown to reduce the mortality rate, but they introduce an enormous amount of information that must be processed by radiologists on a daily basis. Computer Aided Diagnosis (CAD) systems aim

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Malady, Amy Colleen. "Cyclostationarity Feature-Based Detection and Classification." Thesis, Virginia Tech, 2011. http://hdl.handle.net/10919/32280.

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Cyclostationarity feature-based (C-FB) detection and classification is a large field of research that has promising applications to intelligent receiver design. Cyclostationarity FB classification and detection algorithms have been applied to a breadth of wireless communication signals â analog and digital alike. This thesis reports on an investigation of existing methods of extracting cyclostationarity features and then presents a novel robust solution that reduces SNR requirements, removes the pre-processing task of estimating occupied signal bandwidth, and can achieve classification rates

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Gurbuz, Ali Cafer. "Feature detection algorithms in computed images." Diss., Atlanta, Ga. : Georgia Institute of Technology, 2008. http://hdl.handle.net/1853/24718.

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Thesis (Ph.D.)--Electrical and Computer Engineering, Georgia Institute of Technology, 2009.<br>Committee Chair: McClellan, James H.; Committee Member: Romberg, Justin K.; Committee Member: Scott, Waymond R. Jr.; Committee Member: Vela, Patricio A.; Committee Member: Vidakovic, Brani

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TOOSI, AMIRHOSEIN. "Feature Fusion for Fingerprint Liveness Detection." Doctoral thesis, Politecnico di Torino, 2018. http://hdl.handle.net/11583/2711594.

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For decades, fingerprints have been the most widely used biometric trait in identity recognition systems, thanks to their natural uniqueness, even in rare cases such as identical twins. Recently, we witnessed a growth in the use of fingerprint-based recognition systems in a large variety of devices and applications. This, as a consequence, increased the benefits for offenders capable of attacking these systems. One of the main issues with the current fingerprint authentication systems is that, even though they are quite accurate in terms of identity verification, they can be easily spoo

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Abdul-Razak, Ariffin. "Detection of feature interactions in an object-oriented feature-based design system." Thesis, Heriot-Watt University, 1997. http://hdl.handle.net/10399/651.

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Butko, Taras. "Feature selection for multimodal: acoustic event detection." Doctoral thesis, Universitat Politècnica de Catalunya, 2011. http://hdl.handle.net/10803/32176.

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The detection of the Acoustic Events (AEs) naturally produced in a meeting room may help to describe the human and social activity. The automatic description of interactions between humans and environment can be useful for providing: implicit assistance to the people inside the room, context-aware and content-aware information requiring a minimum of human attention or interruptions, support for high-level analysis of the underlying acoustic scene, etc. On the other hand, the recent fast growth of available audio or audiovisual content strongly demands tools for analyzing, indexing, searching a

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SUNDHOLM, JOEL. "Feature Extraction for Anomaly Detection inMaritime Trajectories." Thesis, KTH, Skolan för datavetenskap och kommunikation (CSC), 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-155898.

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The operators of a maritime surveillance system are hardpressed to make complete use of the near real-time informationflow available today. To assist them in this matterthere has been an increasing amount of interest in automated systems for the detection of anomalous trajectories.Specifically, it has been proposed that the framework of conformal anomaly detection can be used, as it provides the key property of a well-tuned alarm rate. However, inorder to get an acceptable precision there is a need to carefully tailor the nonconformity measure used to determine if a trajectory is anomalous. Th

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Rafoul, Elias. "Detection of feature interaction using relational algebra." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp01/MQ38761.pdf.

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Myerscough, Peter J. "Time persistent feature detection via phase congruency." Thesis, University of Southampton, 2006. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.427413.

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Akula, Ravi Kiran. "Botnet Detection Using Graph Based Feature Clustering." Thesis, Mississippi State University, 2018. http://pqdtopen.proquest.com/#viewpdf?dispub=10751733.

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<p> Detecting botnets in a network is crucial because bot-activities impact numerous areas such as security, finance, health care, and law enforcement. Most existing rule and flow-based detection methods may not be capable of detecting bot-activities in an efficient manner. Hence, designing a robust botnet-detection method is of high significance. In this study, we propose a botnet-detection methodology based on graph-based features. Self-Organizing Map is applied to establish the clusters of nodes in the network based on these features. Our method is capable of isolating bots in small cluster

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Raffoul, Joseph Naim. "Blob Feature Extraction for Event Detection Cameras." University of Dayton / OhioLINK, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1590165017029087.

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Wallis, S. A. "Low level feature detection in human vision." Thesis, Aston University, 2009. http://publications.aston.ac.uk/15404/.

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Influential models of edge detection have generally supposed that an edge is detected at peaks in the 1st derivative of the luminance profile, or at zero-crossings in the 2nd derivative. However, when presented with blurred triangle-wave images, observers consistently marked edges not at these locations, but at peaks in the 3rd derivative. This new phenomenon, termed ‘Mach edges’ persisted when a luminance ramp was added to the blurred triangle-wave. Modelling of these Mach edge detection data required the addition of a physiologically plausible filter, prior to the 3rd derivative computation.

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Cohen, Gregory Kevin. "Event-Based Feature Detection, Recognition and Classification." Thesis, Paris 6, 2016. http://www.theses.fr/2016PA066204/document.

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La detection, le suivi de cible et la reconnaissance de primitives visuelles constituent des problèmes fondamentaux de la vision robotique. Ces problématiques sont réputés difficiles et sources de défis. Malgré les progrès en puissance de calcul des machines, le gain en résolution et en fréquence des capteurs, l’état-de-l’art de la vision robotique peine à atteindre des performances en coût d’énergie et en robustesse qu’offre la vision biologique. L’apparition des nouveaux capteurs, appelés "rétines de silicium” tel que le DVS (Dynamic Vision Sensor) et l’ATIS (Asynchronous Time-based Imaging

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Eklind, Anna, and Love Stark. "An exploratory research of ARCore's feature detection." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-254357.

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Augmented reality has been on the rise for some time now and begun making its way onto the mobile market for both IOS and Android. In 2017 Apple released ARKit for IOS which is a software development kit for developing augmented reality applications. To counter this, Google released their own variant called ARCore on the 1st of march 2018. ARCore is also a software development kit for developing augmented reality applications but made for the Android, Unity and Unreal platforms instead. Since ARCore is released recently it is still unknown what particular limitations may exist for it. The purp

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Liu, Chenguang. "Low level feature detection in SAR images." Electronic Thesis or Diss., Institut polytechnique de Paris, 2020. http://www.theses.fr/2020IPPAT015.

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Dans cette thèse, nous développons des détecteurs de caractéristiques de bas niveau pour les images radar à synthèse d'ouverture (SAR) afin de faciliter l'utilisation conjointe des données SAR et optiques. Les segments de droite et les bords sont des caractéristiques de bas niveau très importantes dans les images qui peuvent être utilisées pour de nombreuses applications comme l'analyse ou le stockage d'images, ainsi que la détection d'objets. Alors qu'il existe de nombreux détecteurs efficaces pour les structures bas-niveau dans les images optiques, il existe très peu de détecteurs de ce type

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Everson, R. M. "Detection and description of deterministic chaotic systems." Thesis, University of Leeds, 1988. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.233210.

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Whiten, Christopher J. "Probabilistic Shape Parsing and Action Recognition Through Binary Spatio-Temporal Feature Description." Thèse, Université d'Ottawa / University of Ottawa, 2013. http://hdl.handle.net/10393/24006.

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In this thesis, contributions are presented in the areas of shape parsing for view-based object recognition and spatio-temporal feature description for action recognition. A probabilistic model for parsing shapes into several distinguishable parts for accurate shape recognition is presented. This approach is based on robust geometric features that permit high recognition accuracy. As the second contribution in this thesis, a binary spatio-temporal feature descriptor is presented. Recent work shows that binary spatial feature descriptors are effective for increasing the efficiency of obj

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Li, Zhaoqiang. "Specification and detection of feature interactions using MSCs." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2000. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape4/PQDD_0015/MQ47827.pdf.

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Barbieri, Gillian Sylvia Anna-Stasia. "The role of spatial derivatives in feature detection." Thesis, University of Birmingham, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.368742.

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Hillman, Chris. "Real-time feature detection in mass spectrometer data." Thesis, University of Dundee, 2018. https://discovery.dundee.ac.uk/en/studentTheses/92873cb6-6e7a-4c24-a76c-60509590f2d4.

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Proteomics has become an essential component of systems biology in the quest for personalised medicine. Each of us has a unique biology and can respond in different ways to medical treatments. By analysing the complete set of proteins present in humans the field of life sciences is moving closer to the goal of being able to recommend specific drugs to specific individuals thus greatly enhancing the probability of a cure. Extensive pre-processing of the complex files created by mass spectrometers during proteomics experiments is required before it is possible to gain any insight from them. A ty

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Liu, Sharlene Anne. "Landmark detection for distinctive feature-based speech recognition." Thesis, Massachusetts Institute of Technology, 1995. http://hdl.handle.net/1721.1/11406.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1995.<br>Includes bibliographical references (leaves 187-190).<br>by Sharlene Anne Liu.<br>Ph.D.

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Liu, Xian. "Feature Detection from Mobile LiDAR Using Deep Learning." Miami University / OhioLINK, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=miami1552002747337465.

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Al-Sit, Waleed. "Automatic feature detection and interpretation in borehole data." Thesis, University of Liverpool, 2015. http://livrepository.liverpool.ac.uk/2014181/.

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Detailed characterisation of the structure of subsurface fractures is greatly facilitated by digital borehole logging instruments, however, the interpretation of which is typically time-consuming and labour-intensive. Despite recent advances towards autonomy and automation, the final interpretation remains heavily dependent on the skill, experience, alertness and consistency of a human operator. Existing computational tools fail to detect layers between rocks that do not exhibit distinct fracture boundaries, and often struggle characterising cross-cutting layers and partial fractures. This res

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Gat, Christopher. "Feature-based matching in historic repeat photography: an evaluation and assessment of feasibility." Thesis, 2011. http://hdl.handle.net/1828/3461.

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This study reports on the quantitative evaluation of a set of state-of-the-art feature detectors and descriptors in the context of repeat photography. Unlike most related work, the proposed study assesses the performance of feature detectors when intra-pair variations are uncontrolled and due to a variety of factors (landscape change, weather conditions, different acquisition sensors). There is no systematic way to model the factors inducing image change. The proposed evaluation is performed in the context of image matching, i.e. in conjunction with a descriptor and matching strategy. Thus, be

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Mikolajczyk, Krystian. "Detection of local features invariant to affines transformations." Phd thesis, 2002. http://tel.archives-ouvertes.fr/tel-00584096.

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Une des approches dominantes pour la reconnaissance d'objets est basée sur les caractéristiques locales. La méthode utilise la description locale calculée au voisinage de points d'intérêt. La détection de points d'intérêt est une première étape dans le processus de la mise en correspondance et de la reconnaissance. L'approche par apparences locales a permis d'améliorer et d'accélérer considérablement la recherche d'images dans des bases de données. Dans cette thèse, nous proposons une nouvelle approche pour la détection de points caractéristiques d'une image. Cette approche est invariante aux

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Bastos, Rafael Afonso Chiquelho Alves. "FIRST, invariant image features for augmented reality and computer vision." Doctoral thesis, 2008. http://hdl.handle.net/10071/12002.

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ACM Classification System: I.4.1 Digitization and Image Capture, I.4.7 Feature Measurement, I.4.8 Scene Analysis, H.5.1 Multimedia Information Systems<br>A variety of application areas can be attained in the fields of human-computer interaction for augmented and mixed reality, object tracking and gesture recognition. By combining the areas of 3D computer graphics, computer vision and programming, we have developed a fast, yet robust and accurate image feature detector and matcher to solve common problems that arise in the mentioned research areas. In this thesis, frequent computer vision

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Chen, Fang. "Facial Feature Point Detection." Thesis, 2011. http://hdl.handle.net/1807/30546.

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Facial feature point detection is a key issue in facial image processing. One main challenge of facial feature point detection is the variation of facial structures due to expressions. This thesis aims to explore more accurate and robust facial feature point detection algorithms, which can facilitate the research on facial image processing, in particular the facial expression analysis. This thesis introduces a facial feature point detection system, where the Multilinear Principal Component Analysis is applied to extract the highly descriptive features of facial feature points. In addition, to

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