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Rozprawy doktorskie na temat „Object matching”

Autor: Grafiati

Data publikacji: 4 czerwca 2021

Data aktualizacji: 25 lipca 2025

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1

Lennartsson, Mattias. "Object Recognition with Cluster Matching." Thesis, Linköping University, Department of Electrical Engineering, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-51494.

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<p>Within this thesis an algorithm for object recognition called Cluster Matching has been developed, implemented and evaluated. The image information is sampled at arbitrary sample points, instead of interest points, and local image features are extracted. These sample points are used as a compact representation of the image data and can quickly be searched for prior known objects. The algorithm is evaluated on a test set of images and the result is surprisingly reliable and time efficient.</p>

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2

Ahn, Yushin. "Object space matching and reconstruction using multiple images." Columbus, Ohio : Ohio State University, 2008. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1213375997.

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Anderson, R. "Phase-based object matching using complex wavelets." Thesis, University of Cambridge, 2007. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.595514.

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This thesis investigates the use of phase information from the Dual-Tree Complex Wavelet Transform (DT CWT) for the purpose of image matching. We review methods for image matching with a particular emphasis on matching with local features. We review the meaning and current uses of local phase, and introduce the DT CWT. We highlight the shortcomings of decimated wavelets for typical local phase analysis, and introduce two new functions that can extract useful information from the phases of decimated complex wavelets. The first, the InterLevel Product (ILP), is a pyramidal representation where t

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4

Kwon, Ohkyu. "Similarity measures for object matching in computer vision." Thesis, University of Bolton, 2016. http://ubir.bolton.ac.uk/890/.

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The similarity measures for object matching and their applications have been important topics in many fields of computer vision such as those of image recognition, image fusion, image analysis, video sequence matching, and so on. This critical commentary presents the efficiency of new metric methods such as the robust Hausdorff distance (RHD), the accurate M-Hausdorff distance (AMHD), and the fast sum of absolute differences (FSAD). The RHD measure computes the similarity distance of the occluded/noisy image pair and evaluates the performances of the multi-modal registration algorithms. The AM

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5

Tieu, Kinh H. (Kinh Han) 1976. "Statistical dependence estimation for object interaction and matching." Thesis, Massachusetts Institute of Technology, 2006. http://hdl.handle.net/1721.1/38316.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2006.<br>Includes bibliographical references (p. 97-103).<br>This dissertation shows how statistical dependence estimation underlies two key problems in visual surveillance and wide-area tracking. The first problem is to detect and describe interactions between moving objects. The goal is to measure the influence objects exert on one another. The second problem is to match objects between non-overlapping cameras. There, the goal is to pair the departures in one camera with the arrivals

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6

Ko, Kwang Hee 1971. "Algorithms for three-dimensional free-form object matching." Thesis, Massachusetts Institute of Technology, 2003. http://hdl.handle.net/1721.1/29751.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Ocean Engineering, 2003.<br>Includes bibliographical references (leaves 117-126).<br>This thesis addresses problems of free-form object matching for the point vs. NURBS surface and the NURBS surface vs. NURBS surface cases, and its application to copyright protection. Two new methods are developed to solve a global and partial matching problem with no a priori information on correspondence or initial transformation and no scaling effects, namely the KH and the umbilic method. The KH method establishes a correspondence between two

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7

Sangi, P. (Pekka). "Object motion estimation using block matching with uncertainty analysis." Doctoral thesis, Oulun yliopisto, 2013. http://urn.fi/urn:isbn:9789526200774.

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Abstract Estimation of 2-D motion is one of the fundamental problems in video processing and computer vision. This thesis addresses two general tasks in estimating projected motions of background and foreground objects in a scene: global motion estimation and motion based segmentation. The work concentrates on the study of the block matching method, and especially on those cases where the matching measure is based on the sum of squared or absolute displaced frame differences. Related techniques for performing the confidence analysis of local displacement are considered and used to improve the

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8

Staniaszek, Michal. "Feature-Feature Matching For Object Retrieval in Point Clouds." Thesis, KTH, Datorseende och robotik, CVAP, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-170475.

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In this project, we implement a system for retrieving instances of objects from point clouds using feature based matching techniques. The target dataset of point clouds consists of approximately 80 full scans of office rooms over a period of one month. The raw clouds are reprocessed to remove regions which are unlikely to contain objects. Using locations determined by one of several possible interest point selection methods, one of a number of descriptors is extracted from the processed clouds. Descriptors from a target cloud are compared to those from a query object using a nearest neighbour

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9

Sim, Hak Chuah. "Invariant object matching with a modified dynamic link network." Thesis, University of Southampton, 1999. https://eprints.soton.ac.uk/256269/.

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10

Krupnik, Amnon. "Multiple-patch matching in the object space for aerotriangulation /." The Ohio State University, 1994. http://rave.ohiolink.edu/etdc/view?acc_num=osu1487857546386844.

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11

Schellewald, Christian. "Convex Mathematical Programs for Relational Matching of Object Views." [S.l. : s.n.], 2005. http://www.bsz-bw.de/cgi-bin/xvms.cgi?SWB11947807.

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12

Sjahputera, Ozy. "Object registration in scene matching based on spatial relationships /." free to MU campus, to others for purchase, 2004. http://wwwlib.umi.com/cr/mo/fullcit?p3144457.

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13

Smith, David. "Parallel approximate string matching applied to occluded object recognition." PDXScholar, 1987. https://pdxscholar.library.pdx.edu/open_access_etds/3724.

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This thesis develops an algorithm for approximate string matching and applies it to the problem of partially occluded object recognition. The algorithm measures the similarity of differing strings by scanning for matching substrings between strings. The length and number of matching substrings determines the amount of similarity. A classification algorithm is developed using the approximate string matching algorithm for the identification and classification of objects. A previously developed method of shape description is used for object representation.

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14

Ahmadyfard, Alireza. "Object recognition by region matching using relaxation with relational constraints." Thesis, University of Surrey, 2003. http://epubs.surrey.ac.uk/843289/.

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Our objective in this thesis is to develop a method for establishing an object recognition system based on the matching of image regions. A region is segmented from image based on colour homogeneity of pixels. The method can be applied to a number of computer vision applications such as object recognition (in general) and image retrieval. The motivation for using regions as image primitives is that they can be represented invariantly to a group of geometric transformations and regions are stable under scaling. We model each object of interest in our database using a single frontal image. The r

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15

Jeong, Kideog. "OBJECT MATCHING IN DISJOINT CAMERAS USING A COLOR TRANSFER APPROACH." UKnowledge, 2007. http://uknowledge.uky.edu/gradschool_theses/434.

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Object appearance models are a consequence of illumination, viewing direction, camera intrinsics, and other conditions that are specific to a particular camera. As a result, a model acquired in one view is often inappropriate for use in other viewpoints. In this work we treat this appearance model distortion between two non-overlapping cameras as one in which some unknown color transfer function warps a known appearance model from one view to another. We demonstrate how to recover this function in the case where the distortion function is approximated as general affine and object appearance is

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16

Zhang, Jian, and 张简. "Image point matching in multiple-view object reconstruction from imagesequences." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2012. http://hub.hku.hk/bib/B48079856.

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This thesis is concerned with three-dimensional (3D) reconstruction and point registration, which are fundamental topics of numerous applications in the area of computer vision. First, we propose the multiple epipolar lines (MEL) shape recovery method for 3D reconstruction from an image sequence captured under circular motion. This method involves recovering the 3D shape by reconstructing a set of 3D rim curves. The position of each point on a 3D rim curve is estimated by using three or more views. Two or more of these views are chosen close to each other to guarantee good image point

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17

Neal, Pamela J. "Finding and matching topographic features in 3-D object meshes /." Thesis, Connect to this title online; UW restricted, 1999. http://hdl.handle.net/1773/5949.

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18

Steliaros, Michael Konstantinos. "Motion compensation for 2D object-based video coding." Thesis, University of Warwick, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.340917.

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19

Geller, Felix, Robert Hirschfeld, and Gilad Bracha. "Pattern Matching for an object-oriented and dynamically typed programming language." Universität Potsdam, 2010. http://opus.kobv.de/ubp/volltexte/2010/4303/.

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Pattern matching is a well-established concept in the functional programming community. It provides the means for concisely identifying and destructuring values of interest. This enables a clean separation of data structures and respective functionality, as well as dispatching functionality based on more than a single value. Unfortunately, expressive pattern matching facilities are seldomly incorporated in present object-oriented programming languages. We present a seamless integration of pattern matching facilities in an object-oriented and dynamically typed programming language: Newspeak. We

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20

Jones, Michael J. (Michael Jeffrey) 1968. "Multidimensional morphable models : a framework for representing and matching object classes." Thesis, Massachusetts Institute of Technology, 1997. http://hdl.handle.net/1721.1/43399.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1997.<br>Includes bibliographical references (p. 129-133).<br>by Michel Jeffrey Jones.<br>Ph.D.

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21

Lind, Anders. "High-speed View Matching using Region Descriptors." Thesis, Linköping University, Computer Vision, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-58843.

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<p>This thesis treats topics within the area of object recognition. A real-time view matching method has been developed to compute the transformation between two different images of the same scene. This method uses a color based region detector called MSCR and affine transformations of these regions to create affine-invariant patches that are used as input to the SIFT algorithm. A parallel method to compute the SIFT descriptor has been created with relaxed constraints so that the descriptor size and the number of histogram bins can be adjusted. Additionally, a matching step to deduce correspon

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22

Rubio, Ballester Jose C. "Many-to-Many High Order Matching. Applications to Tracking and Object Segmentation." Doctoral thesis, Universitat Autònoma de Barcelona, 2012. http://hdl.handle.net/10803/96481.

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La correspondència de característiques és un problema fonamental de la Visió per Computador, que té múltiples aplicacions com el seguiment, la classificació i recuperació d’imatges, el reconeixement de formes i la visió estereoscòpica. En molts àmbits, és útil per representar l’estructura local de les carácterístiques en correspondència, per augmentar la precissió o per fer les correspondències invariants a certes transformacions (afins, homografies, etc...). No obstant això, la codificació d’aquest coneixement requereix complicar el model mitjançant l’establiment de relacions d’ordre alt entr

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23

Boros, Peter. "Object Recognition: Modelling and the Interface to a Control Strategy for Matching." Doctoral thesis, Norwegian University of Science and Technology, Department of Computer and Information Science, 2007. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-1690.

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<p>Amodelling system for object recognition and pose estimation is presented in this work, based on approximating the aspect/appearance graph of arbitrary rigid objects for a spherical viewing surface using simulated image data. The approximation is achieved by adaptively subdividing the viewing sphere starting with an icosahedral tessellation and iteratively decreasing the patch size until the desired resolution is reached. The adaptive subdivision is controlled by both the required resolution and object detail. The decision whether a patch should be divided is based on a similarity measure,

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24

Mian, Ajmal Saeed. "Representations and matching techniques for 3D free-form object and face recognition." University of Western Australia. School of Computer Science and Software Engineering, 2007. http://theses.library.uwa.edu.au/adt-WU2007.0046.

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[Truncated abstract] The aim of visual recognition is to identify objects in a scene and estimate their pose. Object recognition from 2D images is sensitive to illumination, pose, clutter and occlusions. Object recognition from range data on the other hand does not suffer from these limitations. An important paradigm of recognition is model-based whereby 3D models of objects are constructed offline and saved in a database, using a suitable representation. During online recognition, a similar representation of a scene is matched with the database for recognizing objects present in the scene . .

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25

Ta, Anh Phuong. "Inexact graph matching techniques : application to object detection and human action recognition." Lyon, INSA, 2010. http://theses.insa-lyon.fr/publication/2010ISAL0099/these.pdf.

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Object detection and human action recognition are two active fields of research in computer vision, which have applications ranging from robotics and video surveillance, medical image analysis, human-computer interactions to content-based video annotation and retrieval. At this time, building such robust recognition systems still remain very challenging tasks, because of the variations in action/object classes, different possible viewpoints, as well as illumination changes, moving cameras, complex dynamic backgrounds and occlusions. In this thesis, we deal with object and activity recognition

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26

Mian, Ajmal Saeed. "Representations and matching techniques for 3D free-form object and face recognition /." Connect to this title, 2006. http://theses.library.uwa.edu.au/adt-WU2007.0046.

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27

Planitz, Brigit Maria. "A correspondence framework for surface matching algorithms." Queensland University of Technology, 2004. http://eprints.qut.edu.au/16001/.

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Computer vision tasks such as three dimensional (3D) registration, 3D modelling, and 3D object recognition are becoming more and more useful in industry, and have application such as reverse CAD engineering, and robot navigation. Each of these applications use correspondence algorithms as part of their processes. Correspondence algorithms are required to compute accurate mappings between artificial surfaces that represent actual objects or scenes. In industry, inaccurate correspondence is related to factors such as expenses in time and labour, and also safety. Therefore, it is essential to

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28

Planitz, Birgit. "A correspondence framework for surface matching algorithms." Thesis, Queensland University of Technology, 2004. https://eprints.qut.edu.au/16001/1/Brigit_Planitz_Thesis.pdf.

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Computer vision tasks such as three dimensional (3D) registration, 3D modelling, and 3D object recognition are becoming more and more useful in industry, and have application such as reverse CAD engineering, and robot navigation. Each of these applications use correspondence algorithms as part of their processes. Correspondence algorithms are required to compute accurate mappings between artificial surfaces that represent actual objects or scenes. In industry, inaccurate correspondence is related to factors such as expenses in time and labour, and also safety. Therefore, it is essential to

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29

Breuel, Thomas M. "Geometric Aspects of Visual Object Recognition." Thesis, Massachusetts Institute of Technology, 1992. http://hdl.handle.net/1721.1/7342.

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This thesis presents there important results in visual object recognition based on shape. (1) A new algorithm (RAST; Recognition by Adaptive Sudivisions of Tranformation space) is presented that has lower average-case complexity than any known recognition algorithm. (2) It is shown, both theoretically and empirically, that representing 3D objects as collections of 2D views (the "View-Based Approximation") is feasible and affects the reliability of 3D recognition systems no more than other commonly made approximations. (3) The problem of recognition in cluttered scenes is considere

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30

Thakkar, Chintan. "Ventricle slice detection in MRI images using Hough Transform and Object Matching techniques." [Tampa, Fla] : University of South Florida, 2006. http://purl.fcla.edu/usf/dc/et/SFE0001815.

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31

Tewes, Andreas H. [Verfasser]. "A Flexible Object Model for Encoding and Matching Human Faces / Andreas H Tewes." Aachen : Shaker, 2006. http://d-nb.info/1170529097/34.

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32

Schrider, Christina Da-Wann. "Histogram-based template matching object detection in images with varying brightness and contrast." Wright State University / OhioLINK, 2008. http://rave.ohiolink.edu/etdc/view?acc_num=wright1224044521.

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33

Thompson, Emma. "Similar but Different: How Foraging Bumblebees ('Bombus Impatiens') Treat Flowers and Pictures of Flowers." Thesis, Université d'Ottawa / University of Ottawa, 2016. http://hdl.handle.net/10393/35032.

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Flowers, the sole natural source of pollen and nectar for bees, present many similar features, in colour, shape, size and scent, which facilitate pollinator attraction. This similarity among stimuli requires perception of commonality but also a capacity for differentiation between similar but different stimuli. While many flowers of a similar type will elicit approach and foraging, failure to access resources on any individual flower in an array (e.g. due to depletion) will not necessarily generalize and deter further foraging. Such conditions demand that bees respond to both the similarity an

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34

Skalski, Tomasz, and Witold Zaborowski. "Object detection and pose estimation of randomly organized objects for a robotic bin picking system." Thesis, Blekinge Tekniska Högskola, Sektionen för ingenjörsvetenskap, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-2153.

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Today modern industry systems are almost fully automated. The high requirements regarding speed, flexibility, precision and reliability makes it in some cases very difficult to create. One of the most willingly researched solution to solve many processes without human influence is bin-picking. Bin picking is a very complex process which integrates devices such as: robotic grasping arm, vision system, collision avoidance algorithms and many others. This paper describes the creation of a vision system - the most important part of the whole bin-picking system. Authors propose a model-based soluti

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35

Nigri, Simone. "Ottimizzatore per configurazione automatica di algoritmi di pattern matching." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2021.

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Il tema del riconoscimento di oggetti, siano essi microscopici componenti in grandi catene di assemblaggio o segnali grafici posti su pacchi in spedizione, è uno degli argomenti più rilevanti all'interno del vasto mondo racchiuso nel settore interdisciplinare rappresentato da Computer Vision, inerente all'analisi di immagini al fine di estrapolarne informazioni. Nonostante ciò, l'utilizzo e la configurazione di strumenti (o tool) il cui obiettivo è esattamente quello di rilevare particolari modelli noti a priori in diverse immagini, potrebbe essere un compito particolarmente arduo per un uten

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36

Monroy, Kuhn Juan Antonio [Verfasser], and Björn [Akademischer Betreuer] Ommer. "Morphological Analysis for Object Recognition, Matching, and Applications / Juan Antonio Monroy Kuhn ; Betreuer: Björn Ommer." Heidelberg : Universitätsbibliothek Heidelberg, 2013. http://d-nb.info/1177809354/34.

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Monroy, Juan Antonio [Verfasser], and Björn [Akademischer Betreuer] Ommer. "Morphological Analysis for Object Recognition, Matching, and Applications / Juan Antonio Monroy Kuhn ; Betreuer: Björn Ommer." Heidelberg : Universitätsbibliothek Heidelberg, 2013. http://nbn-resolving.de/urn:nbn:de:bsz:16-heidok-156637.

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38

Cui, Beibei. "Image processing applications in object detection and graph matching : from Matlab development to GPU framework." Thesis, Bourgogne Franche-Comté, 2020. http://www.theses.fr/2020UBFCA002.

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Déterminer des mises en correspondance d’objet, ou de caractéristiques d’objet, dans des images présente un grand intérêt pour beaucoup d’applications telles que la détection et le suivi de cible, l’estimation du flot optique, l’identification, et d’autres tâches dérivées. Dans cette thèse, nous abordons le problème de mise en correspondance dans le cadre général de l’optimisation de l’appariement de graphe, dans le but de contribuer, comme résultat final, au développement de nouveaux algorithmes parallèles implémentés sur plateforme GPU (Graphics Processing Unit). Le problème d’appariement de

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39

Mora, Leonardo. "Un algoritmo di pattern matching basato sull'estrazione di segmenti rettilinei." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2018.

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Il ritrovamento di oggetti all'interno di immagini rappresenta un parte importante del settore di competenza della Visione Artificiale. Questa importanza è dovuta al fatto che molto sistemi industriali per essere autonomi, necessitano di informazioni relative allo spazio circostante e ai vari oggetti presenti. L'obiettivo di questa tesi è stato quello di sviluppare un algoritmo di "pattern matching" basato su segmenti rettilinei. Nel primo capitolo si è fatta una panoramica sulle varie strategie utilizzate dagli algoritmi di object detection.\\ Il secondo illustra l'estrattore di linee util

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40

Pettersson, Johan. "Real-time Object Recognition on a GPU." Thesis, Linköping University, Department of Electrical Engineering, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-10238.

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<p>Shape-Based matching (SBM) is a known method for 2D object recognition that is rather robust against illumination variations, noise, clutter and partial occlusion.</p><p>The objects to be recognized can be translated, rotated and scaled.</p><p>The translation of an object is determined by evaluating a similarity measure for all possible positions (similar to cross correlation).</p><p>The similarity measure is based on dot products between normalized gradient directions in edges.</p><p>Rotation and scale is determined by evaluating all possible combinations, spanning a huge search space.</p>

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41

Ilestrand, Maja. "Automatic Eartag Recognition on Dairy Cows in Real Barn Environment." Thesis, Linköpings universitet, Datorseende, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-139245.

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All dairy cows in Europe wear unique identification tags in their ears. These eartags are standardized and contains the cows identification numbers, today only used for visual identification by the farmer. The cow also needs to be identified by an automatic identification system connected to milk machines and other robotics used at the farm. Currently this is solved with a non-standardized radio transmitter which can be placed on different places on the cow and different receivers needs to be used on different farms. Other drawbacks with the currently used identification system are that it is

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42

Thanikasalam, Kokul. "Appearance based online visual object tracking." Thesis, Queensland University of Technology, 2019. https://eprints.qut.edu.au/130875/1/Kokul_Thanikasalam_Thesis.pdf.

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This thesis presents research contributions to the field of computer vision based visual object tracking. This study investigates appearance based object tracking by using traditional hand-crafted and deep features. The thesis proposes a real-time tracking framework with high accuracy which follows a deep similarity tracking strategy. This thesis also proposes several deep tracking frameworks for high-accuracy tracking and to manage the spatial information loss. The research findings of the study would be able to be used in a range of applications including visual surveillance systems.

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43

Duchenne, Olivier. "Non-rigid image alignment for object recognition." Phd thesis, École normale supérieure de Cachan - ENS Cachan, 2012. http://tel.archives-ouvertes.fr/tel-00906074.

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La vision permet aux animaux de recueillir une information riche et détaillée sur leur environnent proche ou lointain. Les machines ont aussi accès à cette information riche via leurs caméras. Mais, elles n'ont pas encore le logiciel adéquat leur permettant de la traiter pour transformer les valeurs brutes des pixels de l'image en information plus utile telle que la nature, la position, et la fonction des objets environnants. Voilà une des raisons pour laquelle il leur est difficile de se mouvoir dans un environnement inconnu, et d'interagir avec les humains ou du matériel dans des scénarios n

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44

Aleixo, Patrícia Nunes. "Object detection and recognition for robotic applications." Master's thesis, Universidade de Aveiro, 2014. http://hdl.handle.net/10773/13811.

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Mestrado em Engenharia Eletrónica e Telecomunicações<br>The computer vision assumes an important relevance in the development of robotic applications. In several applications, robots need to use vision to detect objects, a challenging and sometimes difficult task. This thesis is focused on the study and development of algorithms to be used in detection and identification of objects on digital images to be applied on robots that will be used in practice cases. Three problems are addressed: Detection and identification of decorative stones for textile industry; Detection of the ball in ro

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Li, Bo. "Interest Curves : Concept, Evaluation, Implementation and Applications." Doctoral thesis, Umeå universitet, Institutionen för tillämpad fysik och elektronik, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-111175.

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Image features play important roles in a wide range of computer vision applications, such as image registration, 3D reconstruction, object detection and video understanding. These image features include edges, contours, corners, regions, lines, curves, interest points, etc. However, the research is fragmented in these areas, especially when it comes to line and curve detection. In this thesis, we aim to discover, integrate, evaluate and summarize past research as well as our contributions in the area of image features. This thesis provides a comprehensive framework of concept, evaluation, impl

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HE, LEI. "A COMPARISON OF DEFORMABLE CONTOUR METHODS AND MODEL BASED APPROACH USING SKELETON FOR SHAPE RECOVERY FROM IMAGES." University of Cincinnati / OhioLINK, 2003. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1059746287.

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Madi, Kamel. "Inexact graph matching : application to 2D and 3D Pattern Recognition." Thesis, Lyon, 2016. http://www.theses.fr/2016LYSE1315/document.

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Les Graphes sont des structures mathématiques puissantes constituant un outil de modélisation universel utilisé dans différents domaines de l'informatique, notamment dans le domaine de la reconnaissance de formes. L'appariement de graphes est l'opération principale dans le processus de la reconnaissance de formes à base de graphes. Dans ce contexte, trouver des solutions d'appariement de graphes, garantissant l'optimalité en termes de précision et de temps de calcul est un problème de recherche difficile et d'actualité. Dans cette thèse, nous nous intéressons à la résolution de ce problème dan

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Baruzzi, Francesco. "Object detection in robot picking applications using 3d cameras." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2021. http://amslaurea.unibo.it/22594/.

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This work relies on analysis and testing of two 3D cameras in robot picking applications. Continuous progress in microelectronics, micro optics and micro technology made 3D cameras affordable and competitive with respect to 2D cameras in common industrial and commercial applications. 3D cameras, in fact, could give advantages in terms of timing and performances in application involving objects normally processed with 2D cameras. These cameras are intrinsically different in the technology used and provide mono/color images, depth maps and point clouds. First camera considered, Intel RealSense D

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Sadek, Rida. "Some problems on temporally consistent video editing and object recognition." Doctoral thesis, Universitat Pompeu Fabra, 2012. http://hdl.handle.net/10803/101413.

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Video editing and object recognition are two significant fields in computer vi- sion: the first has remarkably assisted digital production and post-production tasks of a digital video footage; the second is considered fundamental to image classification or image based search in large databases (e.g. the web). In this thesis, we address two problems, namely we present a novel formulation that tackles video editing tasks and we develop a mechanism that allows to generate more robust descriptors for objects in an image. Concerning the first problem, this thesis proposes two variational mod

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Revaud, Jérôme. "Contributions to a fast and robust object recognition in images." Phd thesis, INSA de Lyon, 2011. http://tel.archives-ouvertes.fr/tel-00694442.

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In this thesis, we first present a contribution to overcome this problem of robustness for the recognition of object instances, then we straightly extend this contribution to the detection and localization of classes of objects. In a first step, we have developed a method inspired by graph matching to address the problem of fast recognition of instances of specific objects in noisy conditions. This method allows to easily combine any types of local features (eg contours, textures ...) less affected by noise than keypoints, while bypassing the normalization problem and without penalizing too mu

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