Relevant bibliographies by topics / Local visual feature / Dissertations / Theses
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Dissertations / Theses on the topic 'Local visual feature'

Author: Grafiati
Published: 10 March 2023
Last updated: 31 July 2025

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1

Andreasson, Henrik. "Local visual feature based localisation and mapping by mobile robots." Doctoral thesis, Örebro : Örebro University, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:oru:diva-2444.

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2

Manivannan, Siyamalan. "Visual feature learning with application to medical image classification." Thesis, University of Dundee, 2015. https://discovery.dundee.ac.uk/en/studentTheses/10e26212-e836-4ccd-9b12-a576458de5eb.

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Various hand-crafted features have been explored for medical image classification, which include SIFT and Local Binary Patterns (LBP). However, hand-crafted features may not be optimally discriminative for classifying images from particular domains (e.g. colonoscopy), as not necessarily tuned to the domain’s characteristics. In this work, I give emphasis on learning highly discriminative local features and image representations to achieve the best possible classification performance for medical images, particularly for colonoscopy and histology (cell) images. I propose approaches to learn loca
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3

Emir, Erdem. "A Comparative Performance Evaluation Of Scale Invariant Interest Point Detectors For Infrared And Visual Images." Master's thesis, METU, 2008. http://etd.lib.metu.edu.tr/upload/2/12610159/index.pdf.

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In this thesis, the performance of four state-of-the-art feature detectors along with SIFT and SURF descriptors in matching object features of mid-wave infrared, long-wave infrared and visual-band images is evaluated across viewpoints and changing distance conditions. The utilized feature detectors are Scale Invariant Feature Transform (SIFT), multiscale Harris-Laplace, multiscale Hessian-Laplace and Speeded Up Robust Features (SURF) detectors, all of which are invariant to image scale and rotation. Features on different blackbodies, human face and vehicle images are extracted and performance
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4

Ferro, Demetrio. "Effects of attention on visual processing between cortical layers and cortical areas V1 and V4." Doctoral thesis, Università degli studi di Trento, 2019. http://hdl.handle.net/11572/246290.

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Visual attention improves sensory processing, as well as perceptual readout and behavior. Over the last decades, many proposals have been put forth to explain how attention affects visual neural processing. These include the modulation of neural firing rates and synchrony, neural tuning properties, and rhythmic, subthreshold activity. Despite the wealth of knowledge provided by previous studies, the way attention shapes interactions between cortical layers within and between visual sensory areas is only just emerging. To investigate this, we studied neural signals from macaque V1 and V4 visual
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Ferro, Demetrio. "Effects of attention on visual processing between cortical layers and cortical areas V1 and V4." Doctoral thesis, Università degli studi di Trento, 2019. http://hdl.handle.net/11572/246290.

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Visual attention improves sensory processing, as well as perceptual readout and behavior. Over the last decades, many proposals have been put forth to explain how attention affects visual neural processing. These include the modulation of neural firing rates and synchrony, neural tuning properties, and rhythmic, subthreshold activity. Despite the wealth of knowledge provided by previous studies, the way attention shapes interactions between cortical layers within and between visual sensory areas is only just emerging. To investigate this, we studied neural signals from macaque V1 and V4 visual
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6

Zhu, Chao. "Effective and efficient visual description based on local binary patterns and gradient distribution for object recognition." Phd thesis, Ecole Centrale de Lyon, 2012. http://tel.archives-ouvertes.fr/tel-00755644.

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Cette thèse est consacrée au problème de la reconnaissance visuelle des objets basé sur l'ordinateur, qui est devenue un sujet de recherche très populaire et important ces dernières années grâce à ses nombreuses applications comme l'indexation et la recherche d'image et de vidéo , le contrôle d'accès de sécurité, la surveillance vidéo, etc. Malgré beaucoup d'efforts et de progrès qui ont été fait pendant les dernières années, il reste un problème ouvert et est encore considéré comme l'un des problèmes les plus difficiles dans la communauté de vision par ordinateur, principalement en raison des
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7

Abid, Muhammad Rizwan. "Visual Recognition of a Dynamic Arm Gesture Language for Human-Robot and Inter-Robot Communication." Thesis, Université d'Ottawa / University of Ottawa, 2015. http://hdl.handle.net/10393/32800.

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This thesis presents a novel Dynamic Gesture Language Recognition (DGLR) system for human-robot and inter-robot communication. We developed and implemented an experimental setup consisting of a humanoid robot/android able to recognize and execute in real time all the arm gestures of the Dynamic Gesture Language (DGL) in similar way as humans do. Our DGLR system comprises two main subsystems: an image processing (IP) module and a linguistic recognition system (LRS) module. The IP module enables recognizing individual DGL gestures. In this module, we use the bag-of-features (BOFs) and a local
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8

Ventura, Royo Carles. "Visual object analysis using regions and local features." Doctoral thesis, Universitat Politècnica de Catalunya, 2016. http://hdl.handle.net/10803/398407.

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The first part of this dissertation focuses on an analysis of the spatial context in semantic image segmentation. First, we review how spatial context has been tackled in the literature by local features and spatial aggregation techniques. From a discussion about whether the context is beneficial or not for object recognition, we extend a Figure-Border-Ground segmentation for local feature aggregation with ground truth annotations to a more realistic scenario where object proposals techniques are used instead. Whereas the Figure and Ground regions represent the object and the surround respecti
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9

Bai, Hequn. "Mobile 3D Visual Search based on Local Stereo Image Features." Thesis, KTH, Ljud- och bildbehandling, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-102603.

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Many recent applications using local image features focus on 2D image recognition. Such applications can not distinguish between real objects and photos of objects. In this project, we present a 3D object recognition method using stereo images. Using the 3D information of the objects obtained from stereo images, objects with similar image description but different 3D shapes can be distinguished, such as real objects and photos of objects. Besides, the feature matching performance is improved compared with the method using only local image features. Knowing the fact that local image features ma
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10

Le, Viet Phuong. "Logo detection, recognition and spotting in context by matching local visual features." Thesis, La Rochelle, 2015. http://www.theses.fr/2015LAROS029/document.

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Cette thèse présente un framework pour le logo spotting appliqué à repérer les logos à partir de l’image des documents en se concentrant sur la catégorisation de documents et les problèmes de récupération de documents. Nous présentons également trois méthodes de matching par point clé : le point clé simple avec le plus proche voisin, le matching par règle des deux voisins les plus proches et le matching par deux descripteurs locaux à différents étapes de matching. Les deux derniers procédés sont des améliorations de la première méthode. En outre, utiliser la méthode de classification basée sur
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11

Asbach, Mark [Verfasser]. "Modeling for part-based visual object detection based on local features / Mark Asbach." Aachen : Hochschulbibliothek der Rheinisch-Westfälischen Technischen Hochschule Aachen, 2012. http://d-nb.info/1021938211/34.

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12

Khoualed, Samir. "Descripteurs augmentés basés sur l'information sémantique contextuelle." Phd thesis, Université Blaise Pascal - Clermont-Ferrand II, 2012. http://tel.archives-ouvertes.fr/tel-00853815.

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Les techniques de description des éléments caractéristiques d'une image sont omniprésentes dans de nombreuses applications de vision par ordinateur. Nous proposons à travers ce manuscrit une extension, pour décrire (représenter) et apparier les éléments caractéristiques des images. L'extension proposée consiste en une approche originale pour apprendre, ou estimer, la présence sémantique des éléments caractéristiques locaux dans les images. L'information sémantique obtenue est ensuite exploitée, en conjonction avec le paradigme de sac-de-mots, pour construire un descripteur d'image performant.
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13

Beran, Vítězslav. "On-line Analýza Dat s Využitím Vizuálních Slovníků." Doctoral thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2011. http://www.nusl.cz/ntk/nusl-261247.

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Práce představuje novou adaptabilní metodu pro on-line vyhledávání videa v reálném čase pomocí vizuálních slovníků. Nová metoda se zaměřuje na nízkou výpočetní náročnost a přesnost vyhledání při on-line použití. Metoda vychází z technik využitých u statických vizuálních slovníků. Tyto běžné techniky jsou upraveny tak, aby byly schopné se adaptovat na proměnlivá data. Postupy, které toto u nové metody řeší, jsou - dynamická inverzní frekvence dokumentů, adaptabilní vizuální slovník a proměnlivý invertovaný index. Navržený postup byl vyhodnocen na úloze vyhledávání videa a prezentované výsledky
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14

Řezníček, Ivo. "ROZPOZNÁNÍ ČINNOSTÍ ČLOVĚKA VE VIDEU." Doctoral thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2014. http://www.nusl.cz/ntk/nusl-261240.

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Tato disertační práce se zabývá vylepšením systémů pro rozpoznávání činností člověka. Současný stav vědění v této oblasti jest prezentován. Toto zahrnuje způsoby získávání digitálních obrazů a videí společně se způsoby reprezentace těchto entit za použití počítače. Dále jest prezentováno jak jsou použity extraktory příznakových vektorů a extraktory pros- torově-časových příznakových vektorů a způsoby přípravy těchto dat pro další zpracování. Příkladem následného zpracování jsou klasifikační metody. Pro zpracování se obecně obvykle používají části videa s proměnlivou délkou. Hlavní přínos této
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15

Veľas, Martin. "Automatické třídění fotografií podle obsahu." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2013. http://www.nusl.cz/ntk/nusl-236399.

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This thesis deals with content based automatic photo categorization. The aim of the work is to experiment with advanced techniques of image represenatation and to create a classifier which is able to process large image dataset with sufficient accuracy and computation speed. A traditional solution based on using visual codebooks is enhanced by computing color features, soft assignment of visual words to extracted feature vectors, usage of image segmentation in process of visual codebook creation and dividing picture into cells. These cells are processed separately. Linear SVM classifier with e
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16

Zhao, Zhipeng. "Towards a local-global visual feature-based framework for recognition." 2009. http://hdl.rutgers.edu/1782.2/rucore10001600001.ETD.000051935.

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17

BALLAN, LAMBERTO. "Object and event recognition in multimedia archives using local visual features." Doctoral thesis, 2011. http://hdl.handle.net/2158/485661.

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18

Li, Jung-Lin, and 李忠霖. "Stereo Visual Navigation Based on Local Scale-Invariant Feature Transform and Its Nao Embedded System Implementation." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/17978402803821569526.

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碩士<br>雲林科技大學<br>電機工程系碩士班<br>98<br>Stereo vision navigation is the fundamental functionality of the intelligent robot, so that the intelligent robot can smoothly achieve the features of obstacle avoidance, path planning, map building, and environmental localization. , However, conventional feature detection methods can not provide plenty of feature points that are distributed evenly and can not accomplish the stereo vision navigation. Meanwhile, the intelligent robot often requires some extra ultrasonic or infrared sensor for assistance. In this thesis, Local Scale-Invariant Feature Transform
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19

Alqasrawi, Yousef T. N., Daniel Neagu, and Peter I. Cowling. "Fusing integrated visual vocabularies-based bag of visual words and weighted colour moments on spatial pyramid layout for natural scene image classification." 2013. http://hdl.handle.net/10454/9604.

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No<br>The bag of visual words (BOW) model is an efficient image representation technique for image categorization and annotation tasks. Building good visual vocabularies, from automatically extracted image feature vectors, produces discriminative visual words, which can improve the accuracy of image categorization tasks. Most approaches that use the BOW model in categorizing images ignore useful information that can be obtained from image classes to build visual vocabularies. Moreover, most BOW models use intensity features extracted from local regions and disregard colour information, which i
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20

Yen, Chu-Chun, and 顏竹君. "Local Features Based Person Authentication Using Visual Speech with Random Passwords." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/04481825368885259299.

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21

Frisky, Aufaclav Zatu Kusuma, and 柯奧福. "Visual Speech Recognition and Password Verification Using Local Spatiotemporal Features and Kernel Sparse Representation Classifier." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/03868492706552896766.

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碩士<br>國立中央大學<br>資訊工程學系在職專班<br>103<br>Visual speech recognition (VSR) applications play an important role in various aspects of human life, with research efforts being put into recognition systems in security, biometrics, and human machine interaction. In this thesis, we proposed two lip-based systems. First system, we proposed a letter recognition system using spatiotemporal features descriptors. The proposed system adopted non-negative matrix factorization (NMF) to reduce the dimensionality of the feature and kernel sparse representation classifier for classification step. We used local textu
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