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Thematische Bibliographien / RGB-D Image / Dissertationen

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Dissertationen zum Thema „RGB-D Image“

Autor: Grafiati

Veröffentlicht am 11. Januar 2025

Zuletzt aktualisiert am 31. Juli 2025

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1

Murgia, Julian. "Segmentation d'objets mobiles par fusion RGB-D et invariance colorimétrique." Thesis, Belfort-Montbéliard, 2016. http://www.theses.fr/2016BELF0289/document.

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Cette thèse s'inscrit dans un cadre de vidéo-surveillance, et s'intéresse plus précisément à la détection robustesd'objets mobiles dans une séquence d'images. Une bonne détection d'objets mobiles est un prérequis indispensableà tout traitement appliqué à ces objets dans de nombreuses applications telles que le suivi de voitures ou depersonnes, le comptage des passagers de transports en commun, la détection de situations dangereuses dans desenvironnements spécifiques (passages à niveau, passages piéton, carrefours, etc.), ou encore le contrôle devéhicules autonomes. Un très grand nombre de ces

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Tykkälä, Tommi. "Suivi de caméra image en temps réel base et cartographie de l'environnement." Phd thesis, Université Nice Sophia Antipolis, 2013. http://tel.archives-ouvertes.fr/tel-00933813.

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Dans ce travail, méthodes d'estimation basées sur des images, également connu sous le nom de méthodes directes, sont étudiées qui permettent d'éviter l'extraction de caractéristiques et l'appariement complètement. L'objectif est de produire pose 3D précis et des estimations de la structure. Les fonctions de coût présenté minimiser l'erreur du capteur, car les mesures ne sont pas transformés ou modifiés. Dans la caméra photométrique estimation de la pose, rotation 3D et les paramètres de traduction sont estimées en minimisant une séquence de fonctions de coûts à base d'image, qui sont des non-l

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Lai, Po Kong. "Immersive Dynamic Scenes for Virtual Reality from a Single RGB-D Camera." Thesis, Université d'Ottawa / University of Ottawa, 2019. http://hdl.handle.net/10393/39663.

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In this thesis we explore the concepts and components which can be used as individual building blocks for producing immersive virtual reality (VR) content from a single RGB-D sensor. We identify the properties of immersive VR videos and propose a system composed of a foreground/background separator, a dynamic scene re-constructor and a shape completer. We initially explore the foreground/background separator component in the context of video summarization. More specifically, we examined how to extract trajectories of moving objects from video sequences captured with a static camera. We the

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Kadkhodamohammadi, Abdolrahim. "3D detection and pose estimation of medical staff in operating rooms using RGB-D images." Thesis, Strasbourg, 2016. http://www.theses.fr/2016STRAD047/document.

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Dans cette thèse, nous traitons des problèmes de la détection des personnes et de l'estimation de leurs poses dans la Salle Opératoire (SO), deux éléments clés pour le développement d'applications d'assistance chirurgicale. Nous percevons la salle grâce à des caméras RGB-D qui fournissent des informations visuelles complémentaires sur la scène. Ces informations permettent de développer des méthodes mieux adaptées aux difficultés propres aux SO, comme l'encombrement, les surfaces sans texture et les occlusions. Nous présentons des nouvelles approches qui tirent profit des informations temporell

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Meilland, Maxime. "Cartographie RGB-D dense pour la localisation visuelle temps-réel et la navigation autonome." Phd thesis, Ecole Nationale Supérieure des Mines de Paris, 2012. http://tel.archives-ouvertes.fr/tel-00686803.

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Dans le contexte de la navigation autonome en environnement urbain, une localisation précise du véhicule est importante pour une navigation sure et fiable. La faible précision des capteurs bas coût existants tels que le système GPS, nécessite l'utilisation d'autres capteurs eux aussi à faible coût. Les caméras mesurent une information photométrique riche et précise sur l'environnement, mais nécessitent l'utilisation d'algorithmes de traitement avancés pour obtenir une information sur la géométrie et sur la position de la caméra dans l'environnement. Cette problématique est connue sous le terme

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Villota, Juan Carlos Perafán. "Adaptive registration using 2D and 3D features for indoor scene reconstruction." Universidade de São Paulo, 2016. http://www.teses.usp.br/teses/disponiveis/3/3139/tde-17042017-090901/.

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Pairwise alignment between point clouds is an important task in building 3D maps of indoor environments with partial information. The combination of 2D local features with depth information provided by RGB-D cameras are often used to improve such alignment. However, under varying lighting or low visual texture, indoor pairwise frame registration with sparse 2D local features is not a particularly robust method. In these conditions, features are hard to detect, thus leading to misalignment between consecutive pairs of frames. The use of 3D local features can be a solution as such features come

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Shi, Yangyu. "Infrared Imaging Decision Aid Tools for Diagnosis of Necrotizing Enterocolitis." Thesis, Université d'Ottawa / University of Ottawa, 2020. http://hdl.handle.net/10393/40714.

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Neonatal necrotizing enterocolitis (NEC) is one of the most severe digestive tract emergencies in neonates, involving bowel edema, hemorrhage, and necrosis, and can lead to serious complications including death. Since it is difficult to diagnose early, the morbidity and mortality rates are high due to severe complications in later stages of NEC and thus early detection is key to the treatment of NEC. In this thesis, a novel automatic image acquisition and analysis system combining a color and depth (RGB-D) sensor with an infrared (IR) camera is proposed for NEC diagnosis. A design for sensors

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Baban, A. Erep Thierry Roland. "Contribution au développement d'un système intelligent de quantification des nutriments dans les repas d'Afrique subsaharienne." Electronic Thesis or Diss., Université de Toulouse (2023-....), 2024. http://www.theses.fr/2024TLSEP100.

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La malnutrition, qu'elle soit liée à un apport insuffisant ou excessif en nutriments, représente un défi mondial de santé publique touchant des milliards de personnes. Elle affecte tous les systèmes organiques en étant un facteur majeur de risque pour les maladies non transmissibles telles que les maladies cardiovasculaires, le diabète et certains cancers. Évaluer l'apport alimentaire est crucial pour prévenir la malnutrition, mais cela reste un défi. Les méthodes traditionnelles d'évaluation alimentaire sont laborieuses et sujettes aux biais. Les avancées en IA ont permis la conception de VBD

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Hasnat, Md Abul. "Unsupervised 3D image clustering and extension to joint color and depth segmentation." Thesis, Saint-Etienne, 2014. http://www.theses.fr/2014STET4013/document.

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L'accès aux séquences d'images 3D s'est aujourd'hui démocratisé, grâce aux récentes avancées dans le développement des capteurs de profondeur ainsi que des méthodes permettant de manipuler des informations 3D à partir d'images 2D. De ce fait, il y a une attente importante de la part de la communauté scientifique de la vision par ordinateur dans l'intégration de l'information 3D. En effet, des travaux de recherche ont montré que les performances de certaines applications pouvaient être améliorées en intégrant l'information 3D. Cependant, il reste des problèmes à résoudre pour l'analyse et la se

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Řehánek, Martin. "Detekce objektů pomocí Kinectu." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2012. http://www.nusl.cz/ntk/nusl-236602.

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With the release of the Kinect device new possibilities appeared, allowing a simple use of image depth in image processing. The aim of this thesis is to propose a method for object detection and recognition in a depth map. Well known method Bag of Words and a descriptor based on Spin Image method are used for the object recognition. The Spin Image method is one of several existing approaches to depth map which are described in this thesis. Detection of object in picture is ensured by the sliding window technique. That is improved and speeded up by utilization of the depth information.

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Hammond, Patrick Douglas. "Deep Synthetic Noise Generation for RGB-D Data Augmentation." BYU ScholarsArchive, 2019. https://scholarsarchive.byu.edu/etd/7516.

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Considerable effort has been devoted to finding reliable methods of correcting noisy RGB-D images captured with unreliable depth-sensing technologies. Supervised neural networks have been shown to be capable of RGB-D image correction, but require copious amounts of carefully-corrected ground-truth data to train effectively. Data collection is laborious and time-intensive, especially for large datasets, and generation of ground-truth training data tends to be subject to human error. It might be possible to train an effective method on a relatively smaller dataset using synthetically damaged dep

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SILVA, DJALMA LUCIO SOARES DA. "USING PLANAR STRUCTURES EXTRACTED FROM RGB-D IMAGES IN AUGMENTED REALITY APPLICATIONS." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2016. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=28675@1.

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PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO<br>COORDENAÇÃO DE APERFEIÇOAMENTO DO PESSOAL DE ENSINO SUPERIOR<br>PROGRAMA DE EXCELENCIA ACADEMICA<br>Esta dissertação investiga o uso das estruturas planares extraídas de imagens RGB-Dem aplicações de Realidade Aumentada. Ter o modelo da cena é fundamental para as aplicações de realidade aumentada. O uso de imagens RGB-D auxilia bastante o processo da construção destes modelos, pois elas fornecem a geometria e os aspectos fotométricos da cena. Devido a grande parte das aplicações de realidade aumentada utilizarem superfícies planares como su

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Basso, Marcos Aurélio. "Um método robusto para modelagem 3D de ambientes internos usando dados RGB-D." reponame:Repositório Institucional da UFPR, 2015. http://hdl.handle.net/1884/45430.

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Orientadora : Daniel Rodrigues dos Santos<br>Tese (doutorado) - Universidade Federal do Paraná, Setor de Ciências da Terra, Programa de Pós-Graduação em Ciências Geodésicas. Defesa: Curitiba, 12/11/2015<br>Inclui referências : f. 106-112<br>Resumo: O objetivo deste trabalho é propor um método robusto para modelagem 3D de ambientes internos usando dados RGB-D. Basicamente, a modelagem 3D de ambientes está dividida em quatro tarefas, a saber: a escolha do sensor de imageamento; o problema do registro de nuvem de pontos 3D adquiridos pelo sensor de imageamento em diferentes pontos de vista; o pro

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Martins, Renato. "Odométrie visuelle directe et cartographie dense de grands environnements à base d'images panoramiques RGB-D." Thesis, Paris Sciences et Lettres (ComUE), 2017. http://www.theses.fr/2017PSLEM004/document.

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Cette thèse se situe dans le domaine de l'auto-localisation et de la cartographie 3D des caméras RGB-D pour des robots mobiles et des systèmes autonomes avec des caméras RGB-D. Nous présentons des techniques d'alignement et de cartographie pour effectuer la localisation d'une caméra (suivi), notamment pour des caméras avec mouvements rapides ou avec faible cadence. Les domaines d'application possibles sont la réalité virtuelle et augmentée, la localisation de véhicules autonomes ou la reconstruction 3D des environnements.Nous proposons un cadre consistant et complet au problème de localisation

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Zeni, Luis Felipe de Araujo. "Reconhecimento facial tolerante à variação de pose utilizando uma câmera RGB-D de baixo custo." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2014. http://hdl.handle.net/10183/101659.

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Reconhecer a identidade de seres humanos a partir de imagens digitais gravadas de suas faces é uma etapa importante para uma variedade de aplicações que incluem segurança de acesso, iteração humano computador, entretenimento digital, entre outras. Neste trabalho é proposto um novo método automático para reconhecimento facial que utiliza simultaneamente a informação 2D e 3D de uma câmera RGB-D(Kinect). O método proposto utiliza a informação de cor da imagem 2D para localizar faces na cena, uma vez que uma face é localizada ela é devidamente recortada e normalizada para um padrão de tamanho e co

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Vo, Duc My [Verfasser], and Andreas [Akademischer Betreuer] Zell. "Person Detection, Tracking and Identification by Mobile Robots Using RGB-D Images / Duc My Vo ; Betreuer: Andreas Zell." Tübingen : Universitätsbibliothek Tübingen, 2015. http://d-nb.info/1163396826/34.

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Gokhool, Tawsif Ahmad Hussein. "Cartographie dense basée sur une représentation compacte RGB-D dédiée à la navigation autonome." Thesis, Nice, 2015. http://www.theses.fr/2015NICE4028/document.

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Dans ce travail, nous proposons une représentation efficace de l’environnement adaptée à la problématique de la navigation autonome. Cette représentation topométrique est constituée d’un graphe de sphères de vision augmentées d’informations de profondeur. Localement la sphère de vision augmentée constitue une représentation égocentrée complète de l’environnement proche. Le graphe de sphères permet de couvrir un environnement de grande taille et d’en assurer la représentation. Les "poses" à 6 degrés de liberté calculées entre sphères sont facilement exploitables par des tâches de navigation en

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Thörnberg, Jesper. "Combining RGB and Depth Images for Robust Object Detection using Convolutional Neural Networks." Thesis, KTH, Skolan för datavetenskap och kommunikation (CSC), 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-174137.

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We investigated the advantage of combining RGB images with depth data to get more robust object classifications and detections using pre-trained deep convolutional neural networks. We relied upon the raw images from publicly available datasets captured using Microsoft Kinect cameras. The raw images varied in size, and therefore required resizing to fit our network. We designed a resizing method called "bleeding edge" to avoid distorting the objects in the images. We present a novel method of interpolating the missing depth pixel values by comparing to similar RGB values. This method proved sup

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Chiesa, Valeria. "Revisiting face processing with light field images." Electronic Thesis or Diss., Sorbonne université, 2019. https://accesdistant.sorbonne-universite.fr/login?url=https://theses-intra.sorbonne-universite.fr/2019SORUS059.pdf.

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L'objectif principal de cette thèse est de présenter une technologie d'acquisition non conventionnelle, d'étudier les performances d'analyse du visage en utilisant des images collectées avec une caméra spéciale, de comparer les résultats avec ceux obtenus en élaborant des données à partir de dispositifs similaires et de démontrer le bénéfice apporté par l'utilisation de dispositifs modernes par rapport à des caméras standards utilisées en biométrie. Au début de la thèse, la littérature sur l'analyse du visage à l'aide de données "light field" a été étudiée. Le problème de la rareté des données

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Shiu, Feng-Shuo, and 許峯碩. "Stereoscopic Image Generation from RGB-D Images." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/454p5w.

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碩士<br>義守大學<br>資訊工程學系<br>105<br>Traditional stereoscopic images are generated using multiple color-cameras. With the popularity of depth capture devices, it becomes a possible way to generate stereoscopic images by use of color and depth images. During the generating process, holes are created because of visual occlusion or reflective material. Based on color and depth images from RGB-D camera, this study explores the technology of generating stereoscopic images and filling the holes. First, use the DIBR algorithm to generate the left-eye and right-eye images respectively, and then propose an i

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Kuo, Hung-Yu, and 郭弘裕. "Image Segmentation from RGB-D Data." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/n72ag9.

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碩士<br>義守大學<br>資訊工程學系<br>105<br>Image segmentation is one of the most important foundations of computer vision. In many applications such as image retrieval, pattern recognition, machine vision and related fields, it is necessary to have a good segmentation technology to facilitate the follow-up retrieval and recognition work. Traditional image segmentation methods are mainly based on the color information in images. With the growing popularity of cheap RGB-D cameras, let us have a new method to do image segmentation. This study uses Kinect camera to get color and depth information for image se

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Tu, Chieh-Min, and 杜介民. "Depth Image Inpainting with RGB-D Camera." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/k4m42a.

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碩士<br>義守大學<br>資訊工程學系<br>103<br>Since Microsoft released the cheap Kinect sensors as a new natural user interface, stereo imaging is made from previous multi-view color image synthesis, to now synthesis of color image and depth image. But the captured depth images may lose some depth values so that stereoscopic effect is often poor in general. This thesis is based on Kinect RGB-D camera to develop an object-based depth inpainting method. Firstly, the background differencing, frame differencing and depth thresholding strategies are used as a basis for segmenting foreground objects from a dynamic

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Ting, Hao-Chan, and 丁浩展. "Human Skeleton Correction Based on RGB-D Image." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/c77uu5.

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碩士<br>國立臺灣科技大學<br>電子工程系<br>102<br>The currently accepted human skeleton extraction techniques depend on OpenNI framework and NITE middleware. By using this technique, the human skeleton can be tracked with a real time process while human position was recognized at the beginning. However, the incorrect skeleton detection may happen when human holds an object and corresponding depth image is affected by this object. In this thesis, we propose a method to reduce this kind of problem and increase the human skeleton detection accuracy. We detect the object when human holds an object and then filter

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Madeira, Tiago de Matos Ferreira. "Enhancement of RGB-D image alignment using fiducial markers." Master's thesis, 2019. http://hdl.handle.net/10773/29603.

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3D reconstruction is the creation of three-dimensional models from the captured shape and appearance of real objects. It is a field that has its roots in several areas within computer vision and graphics, and has gained high importance in others, such as architecture, robotics, autonomous driving, medicine, and archaeology. Most of the current model acquisition technologies are based on LiDAR, RGB-D cameras, and image-based approaches such as visual SLAM. Despite the improvements that have been achieved, methods that rely on professional instruments and operation result in high costs, b

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Lee, Chi-cheng, and 李其真. "Image Database and RGB-D Camera Image Based Simultaneous Localization and Mapping." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/71614046675523628278.

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碩士<br>國立臺灣科技大學<br>機械工程系<br>102<br>Recently, due to the advances in technology and the growing popularity of social network, almost everyone owns a smartphone now. Most of people are happy to upload the photographs they took in the internet and share with others. It is easy to get the historical images and the image’s information for an unfamiliar environment. Therefor,when we are in an unfamiliar environment, if we can use the numerous historical images which were upload by people in cloud network to achieve the purpose of localization and mapping, then can reduce the cost of creating database

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Chuang, Hui-Chi, and 莊惠琪. "Real-Time Fingerspelling Recognition System Design Based on RGB-D Image Information." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/78417928215280967136.

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碩士<br>國立交通大學<br>電控工程研究所<br>102<br>Communication is a very important part for human-computer interaction. This thesis provides a fingerspelling recognition system with high accuracy rate based on RGB-D image. The system are separated into three parts, including ROI selection, hand feature extraction, and fingerspelling recognition. For the ROI selection, the regions of hand and face are first obtained by skin color detection and connect component labeling (CCL), and then the hand, the ROI, is determined by the feature point extraction based on distance transform. Followed is the hand feature ex

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Lai, Chih-Chia, and 賴志嘉. "On Constructing the Registration Graph of a 3-D Scene Using RGB-D Image Streams." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/42601737493375454708.

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碩士<br>國立暨南國際大學<br>資訊工程學系<br>101<br>The key problem of using a mobile robot equipped with an RGB-D camera to explore an unknown environment is how to fuse the information contained in the acquired images. Due to the limited field of view of the camera, it is inevitable to register the acquired images. If we represent each image as a node and each pairwise registration result as an edge linking two registered images, then the completed registration results can be expressed as a registration graph. Constructing a registration graph from a series of input images can greatly simplify the 3-D scene

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Fan, Chuan-Chi, and 范銓奇. "Low Power High Speed 8-Bit Pipelined A/D Converter for RGB Image Processing." Thesis, 2005. http://ndltd.ncl.edu.tw/handle/40871581804580984571.

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碩士<br>國立中正大學<br>電機工程所<br>93<br>Three architectures of 8-Bit high speed pipelined A/D Converters for RGB image processing is implemented. Firstly, a conventional 1.5-bit/stage pipelined ADC required 7 amplifiers and 15 comparators is designed and fabricated. According to measured results, the SNDR of 33.45 dB under sampling frequency of 2 MHz and input signal of 9.8 kHz is obtained. The ENOB is 5.26 Bit. In order to reduce the power comsumption, the amplifier sharing technique with only 4 amplifiers is included in the 1.5-bit/stage pipelined ADC design. Finally, with only 4 amplifiers and 9 com

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Chiu, Meng-Tzu, and 邱夢姿. "Real-Time Finger Writing Digit Recognition System Design Based on RGB-D Image Information." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/69874109674929453878.

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碩士<br>國立交通大學<br>電控工程研究所<br>103<br>The finger writing recognition approach has been introduced to a diversity of fields, like video games and remote control systems, because it provides a natural and intuitive communication for Human-Computer Interaction (HCI). This thesis proposes a real-time finger writing digit recognition system with high accuracy rate based on the RGB-D information. The system is divided into three main parts, including ROI selection, feature extraction, and finger writing digit recognition. For the ROI selection, first detect the skin color regions, then determine the pal

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CENG, YUN-FENG, and 曾雲楓. "Deep-Learning-Based Object Classification and Grasping Point Determination Based on RGB-D Image for Robot Arm Operation." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/6epvc5.

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Liu, Chen-Yu, and 劉貞佑. "Multiview Stereo Images Generation from RGB-D Images." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/29963224176167062421.

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碩士<br>國立臺灣師範大學<br>資訊工程學系<br>102<br>Nowadays, 3D display technology has been well developed and gradually became a matured technology. However, limited 3D contain resources obstruct this technology to be popularized to the market. Even if the customers can afford expensive media equipment, there is still lack of useable resources to function 3D display technology. This research provides the solution of converting RGB+D image to 3D image to partially improve the shortage of 3D resources. In recent decades, many researches are already working on how to create 3D images, which always involved dept

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Wu, Shang-Yu, and 吳尚諭. "Parallel Hierarchical 3-D Matching of RGB-D Images." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/cbae6h.

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碩士<br>國立暨南國際大學<br>資訊工程學系<br>101<br>This thesis proposes a new method for RGB-D image matching which is different from the traditional point-to-point/point-to-plane matching methods. An objective function is proposed that fuses both depth and color information for estimating the transformation matrix between two RGB-D images. A hierarchical scale space parameter estimation method is proposed for dealing with image matching with large motion. The main idea is to smooth the input image appropriately so that the minute features are temporarily ignored to simplify the matching problem of main 3-D s

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Kuo, Pei-Hsuan, and 郭姵萱. "Object Retrieval Based on RGB-D Images." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/fpsqr5.

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碩士<br>義守大學<br>資訊工程學系<br>105<br>Nowadays, modern multimedia are widely used in daily life. In order to response the requirements, people continuously explore how to effectively manage and retrieve multimedia data. Most previous studies focused on 2D images and 3D models. However, along with the increasing RGB-D image data, the related retrieval technologies are still inadequate. Therefore, it is an urgent task for development of related retrieval algorithms. This research uses RGB-D image data obtained by Kinect sensing device as the input source, and studies how to extract both color and geome

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Peng, Hsiao-Chia, and 彭小佳. "3D Face Reconstruction on RGB and RGB-D Images for Recognition Across Pose." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/88142215912683274078.

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博士<br>國立臺灣科技大學<br>機械工程系<br>103<br>Face recognition across pose is a challenging problem in computer vision. Two scenarios are considered in this thesis. One is the common setup with one single frontal facial image of each subject in the gallery set and the images of other poses in the probe set. The other considers a RGB-D image of the frontal face for each subject in the gallery, but the probe set is the same as in the previous case that only contains RGB images of other poses. The second scenario simulates the case that RGB-D camera can be available for user registration only and recognition

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Patrisia, Sherryl Santoso, and 溫夏夢. "Learning-based Pedestrian Detection Applied to RGB-D Images." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/04755862474315325960.

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碩士<br>國立交通大學<br>電機資訊國際學程<br>104<br>In the complicated environments of real world, accurate pedestrian detection is still a challenging topic. To overcome this issue, we adopt the R-CNN method, which has the ability on extracting robust features and localization as well. The process starts with region proposals (Selective Search) for generating detection candidates, followed by deep learning (CNNs) to produce robust features. Furthermore, the depth information is often helpful in detecting pedestrians and/or objects. We thus use the RGB-D dataset and combine both color picture and depth map inf

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Aguiar, Mário André Pinto Ferraz de. "3D reconstruction from multiple RGB-D images with different perspectives." Master's thesis, 2015. https://repositorio-aberto.up.pt/handle/10216/89542.

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Reconstrução de modelos 3D pode ser uma tarefa útil para várias finalidades. Alguns exemplos são a modelação de uma pessoa ou objeto para uma animação, em robótica, modelação de espaços para exploração ou, para fins clínicos, modelação de pacientes ao longo do tempo para manter um histórico do corpo do paciente. O processo de reconstrução é constituído pelas capturas do objeto a ser modelado, a conversão destas capturas para nuvens de pontos e o alinhamento de cada nuvem de pontos por forma a obter o modelo 3D.A metodologia implementada para o processo de alinhamento foi o mais genérico quanto

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Liu, Che-Wei, and 劉哲瑋. "Evaluation of Disparity Estimation Schemes using Captured RGB-D Images." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/41941973935343767817.

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碩士<br>國立交通大學<br>電子工程學系電子研究所<br>101<br>In 3D image processing, the depth estimation based on the given left and right images (the so-called stereo matching algorithms) has been widely used in many 3D applications. One type of applications tracks the body motion and/or poses with the aid of depth information. How to evaluate depth estimation algorithms for different applications becomes an issue. The conventional method of evaluating these depth estimation algorithms is often using a small number of test computer-generated images, which is insufficient to reflect the problems in the real world

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Aguiar, Mário André Pinto Ferraz de. "3D reconstruction from multiple RGB-D images with different perspectives." Dissertação, 2015. https://repositorio-aberto.up.pt/handle/10216/89542.

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Reconstrução de modelos 3D pode ser uma tarefa útil para várias finalidades. Alguns exemplos são a modelação de uma pessoa ou objeto para uma animação, em robótica, modelação de espaços para exploração ou, para fins clínicos, modelação de pacientes ao longo do tempo para manter um histórico do corpo do paciente. O processo de reconstrução é constituído pelas capturas do objeto a ser modelado, a conversão destas capturas para nuvens de pontos e o alinhamento de cada nuvem de pontos por forma a obter o modelo 3D.A metodologia implementada para o processo de alinhamento foi o mais genérico quanto

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Lin, Ku-Ying, and 林谷穎. "Real-time Human Detection System Design Based on RGB-D Images." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/21485387071019525935.

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碩士<br>國立交通大學<br>電控工程研究所<br>101<br>This thesis proposes a real-time human detection system based on RGB-D images generated by Kinect to find out humans from a sequence of images. The system is separated into four parts, including region-of-interest (ROI) selection, feature extraction, human shape recognition and motionless human checking. First, the histogram projection, connected component labeling and moving objects segmentation are applied to select the ROIs according to the property that human is walking or standing with motion. Second, resize the ROIs based on the bilinear interpolation ap

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Pintor, António Bastos. "A rigid 3D registration framework of women body RGB-D images." Master's thesis, 2016. https://repositorio-aberto.up.pt/handle/10216/88729.

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O trabalho realizado foca-se no melhoramento e automatização da framework desenvolvida para o projeto PICTURE do grupo de investigação VCMI do INESC-TEC. O principal objetivo tem que ver com a criação de modelos 3D do torso de pacientes com cancro da mama, a partir de dados adquiridos com sensores RGB-D low-cost, como o Kinect da Microsoft. As contribuições da tese passam pela criação de algoritmos para a automatização de processos, tais como: seleção da pose da mulher, segmentação do torso, remoção de ruído e o registo de múltiplas nuvens de pontos. O trabalho tem decorrido de forma aproximad

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Pintor, António Bastos. "A rigid 3D registration framework of women body RGB-D images." Dissertação, 2016. https://repositorio-aberto.up.pt/handle/10216/88729.

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O trabalho realizado foca-se no melhoramento e automatização da framework desenvolvida para o projeto PICTURE do grupo de investigação VCMI do INESC-TEC. O principal objetivo tem que ver com a criação de modelos 3D do torso de pacientes com cancro da mama, a partir de dados adquiridos com sensores RGB-D low-cost, como o Kinect da Microsoft. As contribuições da tese passam pela criação de algoritmos para a automatização de processos, tais como: seleção da pose da mulher, segmentação do torso, remoção de ruído e o registo de múltiplas nuvens de pontos. O trabalho tem decorrido de forma aproximad

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Lourenço, Francisco Rodrigues. "6DoF Object Pose Estimation from RGB-D Images Using Machine Learning Approaches." Master's thesis, 2021. http://hdl.handle.net/10316/96141.

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Dissertação de Mestrado Integrado em Engenharia Electrotécnica e de Computadores apresentada à Faculdade de Ciências e Tecnologia<br>A estimativa da pose de objetos em imagens RGB-D, tem ganho bastante atenção na passada década com o aparecimento de sensores RGB-D ao nível do consumidor. O seu baixo custo acoplado com relevantes especificações técnicas, levaram à sua aplicação em áreas cientificas tais como condução autónoma, realidade aumentada e robótica.Em geral, a informação de profundidade trouxe complexidade adicional a grande parte das aplicações práticas onde se usavam apenas imagens R

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Kuo, Syuan-Wei, and 郭宣瑋. "Orientation Modelling for RGB-D Images using Angle and Distance Combined Adjustment." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/z3b6d4.

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碩士<br>國立交通大學<br>土木工程系所<br>106<br>RGB-D cameras are widely applied in indoor mapping and pattern recognition, capturing both RGB image and per-pixels depth image simultaneously. It is important to acquire the correct orientations for indoor mapping, yet homogenous areas are hard to be detected for feature points. Therefore, taking advantage of RGB-D data, the observations contains angle and range information that construct control points to constraint the orientation modeling. This thesis proposed a novel method for orientation modeling for sequential point clouds registration. The main process

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Hsieh, Kai-Nan, and 謝鎧楠. "Rear obstacle detection using a deep convolutional neural network with RGB-D images." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/ghsw4p.

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碩士<br>國立中央大學<br>資訊工程學系<br>106<br>Car accident happens frequently after becoming the most popular transportation devices in daily life, and it costs life and properties because of driver’s negligence. Therefore, many motor manufacturing have invested and developed the “Driving Assistant System” in order to promote the safety of driving. Computer Vision (CV) has been adopted due to it’s ability of object detection and recognition. In recent years, Convolutional neural networks (CNN) has dramaticly developed which makes computer vision much more reliable. We train our “Rear obstacle detection and

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Cho, Shih-Hsuan, and 卓士軒. "Semantic Segmentation of Indoor-Scene RGB-D Images Based on Iterative Contraction and Merging." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/c9a9vg.

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碩士<br>國立交通大學<br>電子研究所<br>105<br>For semantic segmentation of indoor-scene images, we propose a method which combines convolutional neural network (CNNs) and the Iterative Contraction & Merging (ICM) algorithm. We also simultaneously utilize the depth images to efficiently analyze the 3-D space in indoor-scene images. The raw depth image from the depth camera is processed by two bilateral filters to recover a smoother and more complete depth image. On the other hand, the ICM algorithm is an unsupervised segmentation method that can preserve the boundary information well. We utilize the dense pr

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Yuan-Cheng, Lee, and 李元正. "Accurate and robust face recognition from RGB-D images with a deep learning approach." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/34473208854998399783.

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碩士<br>國立清華大學<br>資訊工程學系<br>104<br>Face recognition from RGB-D images utilizes two complementary types of image data, i.e. color and depth images, to achieve more accurate recognition. In this thesis, we propose a face recognition system based on deep learning, which can be used to verify and identify a subject from the color and depth face images captured with a consumer-level RGB-D camera. (e.g., Microsoft Kinect). To recognize faces with color and depth information, our system contains 3 parts: depth image recovery, deep learning for feature extraction, and joint classification. To gain recog

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Gama, Filipe Xavier da Graça. "Efficient processing techniques for depth maps generated by rgb-d sensors." Master's thesis, 2015. http://hdl.handle.net/10400.8/2524.

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Nesta dissertação, um novo método para melhorar mapas de profundidade gerados por sensores RGB-D como a Microsoft Kinect e a Asus Xtion Pro Live é apresentado. Mapas de profundidade gerados por sensores RGB-D normalmente contêm diversos artefactos como oclusões ou buracos devido aos erros de medição da profundidade e das propriedades da superfície dos objetos. Estes problemas têm no seu conjunto um impacto negativo em aplicações que dependem da qualidade dos mapas de profundidade. Neste trabalho, um novo método foi desenvolvido de modo a assegurar que os buracos são preenchidos, que os contorn

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DENG, JU-CHIEH, and 鄧茹潔. "The Application of Deep Learning in RGB-D Images for the Control of Robot Arm." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/36348540372513931289.

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碩士<br>銘傳大學<br>電腦與通訊工程學系碩士班<br>105<br>Robot research is one of the important issues of the development of science and technology, the robotics and artificial intelligence robot development, work completed by the robot is no longer a simple, repetitive movements, but expect the robot has independent thinking ability, increase the application of robots, to improve the practicality, the robot vision has become one of the most critical technology. In Google I/O conference, Google can be seen in the world to promote the Impact Challenge project and Google.org project, bringing together technology an

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HUNG, CHENG-HSIAO, and 洪承孝. "Study of Real-time Workpieces Recognition in Powder Coating Production Line Based on RGB-D Images." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/gsue24.

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碩士<br>朝陽科技大學<br>資訊工程系<br>107<br>Powder coating is used often on the metal or aluminum for protective as well as decorative purposes, for example, office furniture, bicycle frame, and so on. However, the length of a powder coating production line may be over 400 meters. The elapsed time to finish the powder coating of a workpiece is about one hour. There are several steps in the powder coating process, including cleaning, pre-treatment, rinse/dry, powder coat, curing. So, the tracking and tracing workpieces in the production line and collecting real-time production data is an important issue of

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Marques, Márcio Filipe Santos. "Sistemas de monitorização e proteção baseados em visão 3D : desenvolvimento de uma aplicação de segurança e proteção industrial utilizandos Sensores RGB-D." Master's thesis, 2017. http://hdl.handle.net/10400.26/23023.

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Este trabalho teve como objetivo principal o estudo da monitorização de áreas ou volumes nos mais diversos ambientes. Um objetivo mais específico foi o desenvolvimento de um sistema de monitorização de segurança e proteção em ambiente industrial utilizando sensores RGB-D. Procedeu-se ao levantamento da legislação em vigor para a implementação e utilização de sistemas de monitorização de espaços públicos e privados com base em vídeo, bem como das tecnologias e sistemas existentes atualmente no mercado com o mesmo objetivo. Relativamente à legislação a considerar, foi necessário analisar duas p

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