Bibliographies thématiques / 2D/3D object discovery / Thèses
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Thèses sur le sujet « 2D/3D object discovery »

Auteur : Grafiati
Publié le 8 mars 2025

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1

Kara, Sandra. "Unsupervised object discovery in images and video data." Electronic Thesis or Diss., université Paris-Saclay, 2025. http://www.theses.fr/2025UPASG019.

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Cette thèse explore les méthodes d'apprentissage auto-supervisé pour la localisation d'objets, communément appelées « Object Discovery ». La localisation d'objets dans les images et les vidéos est un élément essentiel des tâches de vision par ordinateur telles que la détection, la ré-identification, le suivi, etc. Les algorithmes supervisés actuels peuvent localiser (et classifier) les objets avec précision, mais ils sont coûteux en raison de la nécessité de données annotées. Le processus d'étiquetage est généralement répété pour chaque nouvelle donnée ou catégorie d'intérêt, limitant ainsi le
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Shao, Zhimin. "3D/2D object recognition from surface patterns." Thesis, University of Surrey, 1997. http://epubs.surrey.ac.uk/844055/.

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Attributed Relational Graph (ARG) is a powerful representation for model based object recognition due to its inherent robustness in handling noisy and incomplete data. In the past few years, the availability of efficient ARG matching algorithms and their theoretical underpinnings have greatly contributed to many successful applications of ARG representation in tackling high level vision problems. During my past three year investigation into object recognition using ARG representation, we have developed a number of novel theories and techniques in the subject area. Some are image processing tec
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Sirtkaya, Salim. "Moving Object Detction In 2d And 3d Scenes." Master's thesis, METU, 2004. http://etd.lib.metu.edu.tr/upload/2/12605310/index.pdf.

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This thesis describes the theoretical bases, development and testing of an integrated moving object detection framework in 2D and 3D scenes. The detection problem is analyzed in stationary and non-stationary camera sequences and different algorithms are developed for each case. Two methods are proposed in stationary camera sequences: background extraction followed by differencing and thresholding, and motion detection using optical flow field calculated by &ldquo<br>Kanade-Lucas Feature Tracker&rdquo<br>. For non-stationary camera sequences, different algorithms are developed based on the scen
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Toth, Levente. "3D object recognition based on constrained 2D views." Thesis, University of Plymouth, 1998. http://hdl.handle.net/10026.1/1808.

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The aim of the present work was to build a novel 3D object recognition system capable of classifying man-made and natural objects based on single 2D views. The approach to this problem has been one motivated by recent theories on biological vision and multiresolution analysis. The project's objectives were the implementation of a system that is able to deal with simple 3D scenes and constitutes an engineering solution to the problem of 3D object recognition, allowing the proposed recognition system to operate in a practically acceptable time frame. The developed system takes further the work o
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Govender, Natasha. "Active object recognition for 2D and 3D applications." Doctoral thesis, University of Cape Town, 2015. http://hdl.handle.net/11427/16520.

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Includes bibliographical references<br>Active object recognition provides a mechanism for selecting informative viewpoints to complete recognition tasks as quickly and accurately as possible. One can manipulate the position of the camera or the object of interest to obtain more useful information. This approach can improve the computational efficiency of the recognition task by only processing viewpoints selected based on the amount of relevant information they contain. Active object recognition methods are based around how to select the next best viewpoint and the integration of the extracted
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Noé, Estelle. "3D layered articulated object from a single 2D drawing." Thesis, KTH, Medieteknik och interaktionsdesign, MID, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-216943.

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Modeling articulated objects made of rigid layered parts used to populate 3D scenes in video games or movie production is a complex and time-consuming task for digital artists. This work proposes a sketch-based approach to efficiently model 3D layered articulated objects, such as animals with rigid shells and armors, in annotating a single 2D photo manually, and eventually fabricate it from automatically computed 2D patterns. In considering symmetrical objects seen under a 3/4 view, and an- notating salient features such as extremities of the rigid articulated parts as a mix of circular and Be
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Zhu, Yonggen. "Feature extraction and 2D/3D object recognition using geometric invariants." Thesis, King's College London (University of London), 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.362731.

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8

Gamal, Eldin Ahmed. "Point process and graph cut applied to 2D and 3D object extraction." Nice, 2011. http://www.theses.fr/2011NICE4107.

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L’objectif de cette thèse est de développer une nouvelle approche de détection d’objets 3D à partir d’une image 2D, prenant en compte les occultations et les phénomènes de perspective. Cette approche est fondée sur la théorie des processus ponctuels marqués, qui a fait ses preuves dans la solution de plusieurs problèmes en imagerie haute résolution. Le travail de la thèse est structuré en deux parties. Dans la première partie, nous proposons une nouvelle méthode probabiliste pour gérer les occultations et les effets de perspective. Le modèle proposé est fondé sur la simulation d’une scène 3D u
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Gomez-Donoso, Francisco. "Contributions to 3D object recognition and 3D hand pose estimation using deep learning techniques." Doctoral thesis, Universidad de Alicante, 2020. http://hdl.handle.net/10045/110658.

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In this thesis, a study of two blooming fields in the artificial intelligence topic is carried out. The first part of the present document is about 3D object recognition methods. Object recognition in general is about providing the ability to understand what objects appears in the input data of an intelligent system. Any robot, from industrial robots to social robots, could benefit of such capability to improve its performance and carry out high level tasks. In fact, this topic has been largely studied and some object recognition methods present in the state of the art outperform humans in ter
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Sambra-Petre, Raluca-Diana. "2D/3D knowledge inference for intelligent access to enriched visual content." Phd thesis, Institut National des Télécommunications, 2013. http://tel.archives-ouvertes.fr/tel-00917972.

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This Ph.D. thesis tackles the issue of sill and video object categorization. The objective is to associate semantic labels to 2D objects present in natural images/videos. The principle of the proposed approach consists of exploiting categorized 3D model repositories in order to identify unknown 2D objects based on 2D/3D matching techniques. We propose here an object recognition framework, designed to work for real time applications. The similarity between classified 3D models and unknown 2D content is evaluated with the help of the 2D/3D description. A voting procedure is further employed in o
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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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Wu, Siju. "Study and design of interaction techniques to facilitate object selection and manipulation in virtual environments on mobile devices." Thesis, Université Paris-Saclay (ComUE), 2015. http://www.theses.fr/2015SACLE023/document.

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Les avancées dans le domaine des NUIs (interfaces utilisateur naturelles) permettent aux concepteurs de développer de nouvelles techniques efficaces et faciles à utiliser pour l'interaction 3D. Dans ce contexte, les interfaces mobiles attirent beaucoup d'attention sur la conception de techniques d'interaction 3D pour une utilisation ubiquitaire. Nos travaux de recherche se focalisent sur la proposition de nouvelles techniques d’interaction pour faciliter la sélection et la manipulation d'objets dans des environnements virtuels s’exécutant sur des interfaces mobiles. En effet, l'efficacité et l
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13

Sankoh, Hiroshi. "Object Extraction for Virtual-viewpoint Video Synthesis." 京都大学 (Kyoto University), 2015. http://hdl.handle.net/2433/200465.

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Qiu, Xuchong. "2D and 3D Geometric Attributes Estimation in Images via deep learning." Thesis, Marne-la-vallée, ENPC, 2021. http://www.theses.fr/2021ENPC0005.

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La perception visuelle d'attributs géométriques (ex. la translation, la rotation, la taille, etc.) est très importante dans les applications robotiques. Elle permet à un système robotique d'acquérir des connaissances sur son environnement et peut fournir des entrées pour des tâches telles que la localisation d'objets, la compréhension de scènes et la planification de trajectoire. Le principal objectif de cette thèse est d'estimer la position et l'orientation d'objets d'intérêt pour des tâches de manipulation robotique. En particulier, nous nous intéressons à la tâche de bas niveau d'estimation
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Sambra-Petre, Raluca-Diana. "2D/3D knowledge inference for intelligent access to enriched visual content." Electronic Thesis or Diss., Evry, Institut national des télécommunications, 2013. http://www.theses.fr/2013TELE0012.

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Cette thèse porte sur la catégorisation d'objets vidéo. L'objectif est d'associer des étiquettes sémantiques à des objets 2D présents dans les images/vidéos. L'approche proposée consiste à exploiter des bases d'objets 3D classifiés afin d'identifier des objets 2D inconnus. Nous proposons un schéma de reconnaissance d'objet, conçu pour fonctionner pour des applications en temps réel. La similitude entre des modèles 3D et des contenus 2D inconnu est évaluée à l'aide de la description 2D/3D. Une procédure de vote est ensuite utilisée afin de déterminer les catégories les plus probables de l'objet
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16

Sharma, Naresh. "Arbitrarily Shaped Virtual-Object Based Video Compression." Columbus, Ohio : Ohio State University, 2009. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1238165271.

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17

Paternesi, Claudio. "Virtual Reality Labelling Tool for 3D Semantic Segmentation." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2019.

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Durante gli ultimi anni nel campo della Computer Vision si sono susseguiti studi sempre più approfonditi sulla segmentazione semantica 3D, questi lavori richiedono spesso una enorme quantità di modelli 3D su cui fare le elaborazioni. Non sempre però, i dataset disponibili forniscono delle informazioni complete riguardanti anche la segmentazione dei modelli 3D. In questa tesi si propone uno strumento software con cui si possa creare, a partire da un modello 3D, la sua versione segmentata semanticamente, così da poter creare dei dataset completi da usare nelle fasi di training e test di modelli
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18

Lengyel, Kristián. "Zobrazování medicínských dat v reálném čase." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2010. http://www.nusl.cz/ntk/nusl-235544.

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This thesis deals with design and implementation of an application for medical data imaging in real-time. The first part of project is focused on methods for obtaining data in medical practice and visualization of large volume data on computer using familiar rendering approaches. Similar applications are used outside of medicine in other fields, such as chemistry to display molecular structures or microorganisms. Another part of project will focus on benefits of visualization of volumetric data using programmable hardware and new methods of parallelization of algorithms on graphics card using
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Batmaz, Anil Ufuk. "Speed, precision and grip force analysis of human manual operations with and without direct visual input." Thesis, Strasbourg, 2018. http://www.theses.fr/2018STRAJ056/document.

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Le système perceptif d’un chirurgien doit s’adapter aux contraintes multisensorielles liées à la chirurgie guidée par l’image. Trois expériences sont conçues pour explorer ces contraintes visuelles et haptiques pour l’apprentissage guidé par l’image. Les résultats montrent que les sujets sont plus rapides et plus précis avec une vision directe. La stéréoscopie 3D n’améliore pas les performances des débutants complets. En réalité virtuelle, la variation de la longueur, largeur, position et complexité de l'objet affecte les performances motrices. La force de préhension appliquée sur un système r
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20

"3D object reconstruction from 2D and 3D line drawings." 2008. http://library.cuhk.edu.hk/record=b5893538.

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Chen, Yu.<br>Thesis (M.Phil.)--Chinese University of Hong Kong, 2008.<br>Includes bibliographical references (leaves 78-85).<br>Abstracts in English and Chinese.<br>Chapter 1 --- Introduction and Related Work --- p.1<br>Chapter 1.1 --- Reconstruction from 2D Line Drawings and the Applications --- p.2<br>Chapter 1.2 --- Previous Work on 3D Reconstruction from Single 2D Line Drawings --- p.4<br>Chapter 1.3 --- Other Related Work on Interpretation of 2D Line Drawings --- p.5<br>Chapter 1.3.1 --- Line Labeling and Superstrictness Problem --- p.6<br>Chapter 1.3.2 --- CAD Reconstruction --- p.
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Richards, Whitman, Jan J. Koenderink, and D. D. Hoffman. "Inferring 3D Shapes from 2D Codons." 1985. http://hdl.handle.net/1721.1/5613.

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All plane curves can be described at an abstract level by a sequence of five primitive elemental shapes, called "condons", which capture the sequential relations between the singular points of curvature. The condon description provides a basis for enumerating all smooth 2D curves. Let each of these smooth plane be considered as the si lhouette of an opaque 3D object. Clearly an in finity of 3D objects can generate any one of ou r "condon" silhouettes. How then can we p redict which 3D object corresponds to a g iven 2D silhouette? To restrict the infinity of choices, we impose three mat
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Grimson, W. Eric, Daniel P. Huttenlocher, and T. D. Alter. "Recognizing 3D Ojbects of 2D Images: An Error Analysis." 1992. http://hdl.handle.net/1721.1/5959.

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Many object recognition systems use a small number of pairings of data and model features to compute the 3D transformation from a model coordinate frame into the sensor coordinate system. With perfect image data, these systems work well. With uncertain image data, however, their performance is less clear. We examine the effects of 2D sensor uncertainty on the computation of 3D model transformations. We use this analysis to bound the uncertainty in the transformation parameters, and the uncertainty associated with transforming other model features into the image. We also examine th
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Mou, Chia-Chang, and 牟家昌. "Object Recognition Using 2D Image and 3D Point Clouds Data." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/35279695086781961762.

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碩士<br>國立交通大學<br>電控工程研究所<br>99<br>In recent years, research works of three dimensional object recognition in point cloud data become more and more popular. Appearance-based features, such as silhouettes of objects, will directly affect the recognition efficiency in different positions with various angles. To tackle this problem, this thesis proposes a recognition system with two-feature integration. One is the Fourier descriptor of the contour in a range image, and the other is the structure descriptor extracted from point clouds. The Fourier descriptor is used to identify an object in the far
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Xian, Xiaohua. "2D & 3D UML-based software visualization for object-oriented programs." Thesis, 2003. http://spectrum.library.concordia.ca/2345/1/MQ83923.pdf.

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UML (Unified Modeling Language) is a successful example of two-dimensional software visualization that is widely used in both academic and enterprise environments for object-oriented software development. The presented work ( UML3D ), which is included in the CONCEPT (Comprehension Of Net-CEntered Programs and Techniques) framework, applies 3D visualization techniques to UML to take advantages of 3D space and the additional features that can be applied in the 3D space. The UML3D project also integrates a self-organizing layout algorithm for both traditional 2D UML and 3D UML diagrams. The use
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Chen, Yi-Chun, and 陳奕均. "An Efficient 2D to 3D Image Conversion with Object-based Segmentation." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/85772474159077980474.

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碩士<br>國立交通大學<br>電子研究所<br>99<br>Nowadays, the 3D image processing has become a trend in the related visual processing field. Many automatic 2D to 3D conversion algorithms have been proposed to solve the lack of 3D content. But there is still no fast algorithm that converts single monocular images well. In this thesis, we propose a fast conversion algorithm that includes the image segmentation, image classification, object boundary tracing method, and 3D image generation. The image segmentation adopts the watershed method to easily collect the information of depth cue. Then, the image classifi
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Guo, Jiang-Yu, and 郭江禹. "Reconstruction of a 3D Object Model Using 2D Image Contours Data." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/r465mt.

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碩士<br>國立臺灣師範大學<br>機電科技研究所<br>97<br>This paper proposes reconstruction of a 3D object model using 2D image contours data, with building the two-dimensional image contours, so that objects can show three-dimensional model, and applied to medical physical therapy, for example: magnetic resonance imaging systems, nuclear medicine system, and so on .... And then combine with a robot which can achieves an automatic system. Generated three-dimensional model approach, is currently the most commonly seen are the following: first, the most direct way is to use three-dimensional model of graphics softwar
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Payet, Nadia. "From shape-based object recognition and discovery to 3D scene interpretation." Thesis, 2011. http://hdl.handle.net/1957/21316.

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This dissertation addresses a number of inter-related and fundamental problems in computer vision. Specifically, we address object discovery, recognition, segmentation, and 3D pose estimation in images, as well as 3D scene reconstruction and scene interpretation. The key ideas behind our approaches include using shape as a basic object feature, and using structured prediction modeling paradigms for representing objects and scenes. In this work, we make a number of new contributions both in computer vision and machine learning. We address the vision problems of shape matching, shape-based minin
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Castelhano, João Miguel Seabra. "Neural substrates of 2D/3D object perception: a combined EEG/fMRI approach." Doctoral thesis, 2015. http://hdl.handle.net/10316/26307.

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Tese de doutoramento em Ciências da Saúde, no ramo de Ciências Biomédicas, apresentada à Faculdade de Medicina da Universidade de Coimbra<br>Perceptual decision making is defined as the choice of possible interpretations of the world based on the incoming sensory evidence. The role of temporal coding in this process and coherent perception, defined as hierarchical grouping of local elements, remains controversial. Oscillatory processes in the gamma frequency range (>30 Hz) have been proposed to play a role in signaling emerging object percepts in the brain. Studies using Electroencephalography
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Chen, Yu-Ru, and 陳妤如. "Robot Arm Autonomous Object Grasping System Based on 2D and 3D Vision Techniques." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/84u98v.

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碩士<br>國立臺灣科技大學<br>機械工程系<br>107<br>This research develops a 2D and 3D integrated vision system that can command the robotic arm to fully autonomous object grasping, combines the six-axis robot arm for object grasping. The techniques used include 2D object recognition using deep learning, Point Pair Features (PPF), Image Based Visual Servoing (IBVS), and Perspective-n-Point (PnP). For the variety of objects and scenes in the family, 3D object pose estimation is the core of the system. PPF is a very effective object 6D pose estimation technology, but the implementation of PPF requires constant sa
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Ghobadi, Seyed Eghbal [Verfasser]. "Real time object recognition and tracking using 2D/3D images / von Seyed Eghbal Ghobadi." 2010. http://d-nb.info/1009885472/34.

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Hegazy, Doaa Abd al-Kareem Mohammed [Verfasser]. "Boosting for generic 2D/3D object recognition / von Doaa Abd Al-Kareem Mohammed Hegazy." 2010. http://d-nb.info/1001518209/34.

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Jiang, Ci-syu, and 江麒旭. "A correction method of the multiple-object 3D model reconstruction based on 2D images." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/93624808001814518129.

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碩士<br>國立臺灣科技大學<br>機械工程系<br>97<br>A 3D digitizer can be used to perform reverse engineering. It takes photos of a working piece layer by layer. After the images are segmented, we can use these images to reconstruct a CAD model by computer software. Although threshold method was useful to segment single object images, multi-threshold method did not work on multiple-object images. After multiple-object images were segmented by multi-threshold method, these images had 3 kinds of image errors. The first one was material transition, the second one was image profile’s boundary and the third one was t
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Lin, Chin-Hsin, and 林進星. "Converting 2D Video Sequences Using Object Tracking and Depth-Maps for 3D Stereoscopic Display." Thesis, 2007. http://ndltd.ncl.edu.tw/handle/62275354545388440493.

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碩士<br>中原大學<br>資訊工程研究所<br>95<br>A computer framework for the conversion of 2D video sequence to 3D for stereoscopic display based on inside of image frame of vanishing lines and vanishing point is presented. Given a 2D video sequence in a single-view scene, the main processes were to automatically segment and track moving objects, and to generate a depth-map with respect to a vanishing point for the scene. Depths of the motion path for the moving object could be estimated accordingly. As a result, binocular-view images were generated and recombined for stereoscopic display. The experimental res
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Huang, Ying-Yuan, and 黃盈源. "3D Object Model Recovery from 2D Images Utilizing Corner Detection and Virtual Mesh Grid." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/08443820117389508599.

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碩士<br>國立臺灣師範大學<br>機電科技研究所<br>99<br>This research proposes a new method to reconstruct the 3D object model from 2D images. One type of the non-contact scanning measurement for the stereo vision algorithm is used in this research. The stereo vision simulates human’s eyes to capture the depth information of the object. Therefore, this research uses two CCD Cameras to capture two images of the object. Then, find out the match points from the two images. Using the match points and combine 1)the parameters of the two CCD Cameras and 2)transform matrix between the world coordinate and camera coordina
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Kuan-JuLu and 呂冠儒. "3D Object Point Estimation by 2D Image Using Multi-Stage Deep Convolutional Neural Networks." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/f2pmma.

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Borkowski, Maciej. "2D to 3D conversion with direct geometrical search and approximation spaces." 2007. http://hdl.handle.net/1993/2827.

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This dissertation describes the design and implementation of a system that has been designed to extract 3D information from pairs of 2D images. System input consists of two images taken by an ordinary digital camera. System output is a full 3D model extracted from 2D images. There are no assumptions about the positions of the cameras during the time when the images are being taken, but the scene must not undergo any modifications. The process of extracting 3D information from 2D images consists of three basic steps. First, point matching is performed. The main contribution of this step is the
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Su, Tzung-Min, and 蘇宗敏. "Robust 3D Object Recognition using 2D Views via an Incremental Similarity-Based Aspect-Graph Approach." Thesis, 2007. http://ndltd.ncl.edu.tw/handle/39874419206497670787.

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博士<br>國立交通大學<br>電機與控制工程系所<br>96<br>This work presents a framework for robust recognizing 3D objects from 2D views. The proposed framework comprises of two stages: the pre-processing stage and the incremental database construction stage. In the pre-processing stage, foreground objects is extracted from 2D views and applied for building 3D database and recognizing. In the incremental database construction stage, a 3D object database is built and updated using 2D views randomly sampled from a viewing sphere. A background subtraction scheme involving highlight and shadow removal (BSHSR) is propose
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Chan, Ya-Ping, and 詹雅評. "3D Video Conversion from 2D Video with Both Camera and Object Motion Using Bundle Adjustment." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/47194804895905129787.

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碩士<br>國立臺灣大學<br>資訊工程學研究所<br>99<br>This thesis presents a system - convert 2-D video to 3-D video via the method for reconstructing good high-quality video dis- parity maps. First, find out the background disparity maps of videos which contain both camera motion and object motion in videos. we formulate it to a energy minimization problem by using color constraint and geometric constraint to recover disparity maps. The goal is to estimate background disparity, so we discard any information of moving objects (foreground), such as color and segmentation, and the disparity value of pixels occluded
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HSIEH, ZONG-YOU, and 謝宗佑. "3D Object Recognition System of Indoor Scene Based on Point Cloud And 2D SURF Feature Points." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/mk75r4.

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碩士<br>國立臺北科技大學<br>資訊工程系<br>107<br>In our previous work had proposed a system for 3D point cloud object recognition. Providing intelligent robots a deeper understanding ability on object recognition. However, the process of recognition in this system need to compare with object in database. Due to here are many 3D objects in the world, as the number of recognition 3D object increases, the size of object database increases, when the object of pending recognition need to be matched with the database object, if there have no similar index search, it will takes long time on matching and decrease th
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HUANG, WEI-SHIANG, and 黃暐翔. "Development of Software System for Autonomous Object Operations by 6-axis Robot Arm with 2D/3D Vison Capabilities." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/m95y7h.

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碩士<br>國立臺灣科技大學<br>機械工程系<br>107<br>This research proposes a software system architecture suitable for amplification and growth for the fully autonomous robot arm object operating system. The autonomous intelligent object operating system needs to integrate with various intelligent vision systems for identifying and locating the object, and controlling the movement of the robot arm. However, the existing intelligent vision systems are numerous, and each has its scope of application. Moreover, more new visual algorithms and robot object operation modules are being continuously developed. A practi
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Yu, Ming-Jyun, and 余明駿. "Markers Based 3D Position Estimation for Rod Shaped Object Using 2D Image and Its Application In Endoscopic MIS Instrument Tracking." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/mwg4jq.

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碩士<br>國立雲林科技大學<br>電機工程系<br>103<br>This aim of our research is to use a uniform circular rod-shaped object (such as the endoscopic surgical instruments), it is under the single-lens cameras shooting. We were labeled two markers on the rod-shaped object. All markers have the same shape, but the color is in different. Base on the digital image processing we can detect these markers and estimate 2D information of the rod-shaped object more efficiently. We can estimate 3D position information of the rod-shaped object more quickly, through the lens mapping on the camera sensor imaging positions geom
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Chen, Kuan-Chieh, and 陳冠傑. "A Study on Autonomous Vehicle Navigation by 2D Object Image Matching and 3D Computer Vision Analysis for Indoor Security Patrolling Applications." Thesis, 2008. http://ndltd.ncl.edu.tw/handle/34337662999305229023.

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碩士<br>國立交通大學<br>多媒體工程研究所<br>96<br>A vision-based vehicle system for security patrolling in indoor environments using an autonomous vehicle is proposed. A small vehicle with wireless control and a web camera which has the capabilities of panning, tilting, and zooming is used as a test bed. At first, an easy-to-use learning technique is proposed, which has the capability of extracting specific features, including navigation path, floor color, monitored object, and vehicle location with respect to monitored objects. Next, a security patrolling method by vehicle navigation with obstacle avoidance
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SYU, JIA-CYUAN, and 許家銓. "Double-Rings Markers Based 3D Complete Eight Quadrants Position Estimation for Rod Shaped Object Using 2D Image and Its Application In Endoscopic MIS Instrument Tracking." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/92550082240203623869.

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碩士<br>國立雲林科技大學<br>電機工程系<br>104<br>This paper is based on the results of Mr. Ming-Jyun Yu’s master thesis from our laborotary in 2015 titled “Markers Based 3D Position Estimation for Rod Shaped Object Using 2D Image and Its Application In Endoscopic MIS Instrument Tracking” which features fast and accurate estimation of the six 3D position parameters using just a single 2D image through a set of deterministic formulars (equations). In this thesis, we completed four research goals. Firstly, we extend the original formular for one particular pose to formulars for any pose. Secondly, we select the
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Liu, Cheng Hsiung, and 劉政雄. "RECOGNITION OF 3D OBJECTS BY SINGLE CAMERA VIEWS USING CAMERA CALIBRATION, SURFACE BACKPROJECTION, AND 2D MODEL MATCHING TECHNIQUES BASED ON OBJECT SHAPE AND SURFACE PATTERN INFORMATION." Thesis, 1993. http://ndltd.ncl.edu.tw/handle/99374905602646662157.

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博士<br>國立交通大學<br>資訊工程研究所<br>81<br>A new approach to recognition of three different classes of 3D objects by single camera views using a combination of camera calibration, surface backprojection, and 2D model matching techniques are proposed. The three classes of 3D objects are cuboids, cylinders, and regular prisms, which are commonly seen in commercial products and industrial parts. Not only the silhouette shape but also the surface pattern of the object are utilized in the recognition sche
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