Tesis sobre el tema "Image-based positioning"
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Aeddula, Omsri Kumar. "Automatic Image Based Positioning System". Thesis, Blekinge Tekniska Högskola, Institutionen för tillämpad signalbehandling, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-15224.
Texto completoLavieri, Rodrigo Sauri. "Image-based wave feed-forward for dynamic positioning system". Universidade de São Paulo, 2016. http://www.teses.usp.br/teses/disponiveis/3/3152/tde-12122016-090140/.
Texto completoOs sistemas atuais de Posicionamento Dinâmico (DP) empregam técnicas de controle baseadas na realimentação da posição e do aproamento, associadas à compensação antecipada das cargas de vento (wind feed-forward) para manter a posição da embarcação. Esta tecnologia melhora a experiência do DP, pois antecipa a ação do vento. Entretanto, não há tecnologia consolidada para a pré-compensação de forças ondas (wave feed-forward) e o maior desafio reside na medição desses agentes ambientais. A presente tese tem como objetivo preencher essa lacuna tecnológica propondo uma abordagem alternativa para a medição das ondas próxima ao casco. Métodos de medição baseados em imagem são não invasivos e produzem descrições espaciais e temporais da superfície analisada, tornando-os particularmente adequados à medição de superfícies líquidas. Entretanto, os métodos comumente empregados, principalmente aqueles baseados em imagens estéreo, são incapazes de medir ondas produzidas em ambiente de laboratório, pois, nestas condições, a superfície da água é lisa, apresenta transparência e comporta-se como um espelho. Por outro lado, métodos baseados na intensidade de luz são capazes de lidar com tais características, se aplicados em condições adequadas e quando empregam modelos apropriados. Neste trabalho, um modelo de reetância amplamente conhecido é empregado para extrair os parâmetros principais de ondas regulares produzidas em um tanque de provas offshore. Inicialmente, propõe-se um arranjo experimental que permita a aplicação do modelo de refetância construído, mesmo sob as condições de iluminação naturais do laboratório. Posteriormente, um segundo conjunto de experimentos com um modelo de embarcação DP é proposto, no qual se aplica o método baseado em imagem, testado anteriormente, como sistema de pré-compensação de forças de onda. Três métodos de controle são avaliados, quais sejam: PID (Proporcional-Integral-Derivativo), PD (Proporcional-Derivativo) e o PD-WFF (PD associado ao wave feed-forward). Os resultados demonstram que a presença pré-conpensação de forças de onda reduz o erro em regime do controlador PD. Estes são os primeiros passos em direção da incorporação da pré-compensação de forças de onda nos sistemas DP reais e diversos aspectos técnicos ainda estão pendentes. Entretanto, os resultados promissores e discussões acerca dos futuros passos da pesquisa definem a contribuição do presente trabalho no campo do Posicionamento Dinâmico.
Audu, Abdulkadir Iyyaka. "Camera positioning for 3D panoramic image rendering". Thesis, Brunel University, 2015. http://bura.brunel.ac.uk/handle/2438/10444.
Texto completoParra, Nestor Andres. "Rigid and Non-rigid Point-based Medical Image Registration". FIU Digital Commons, 2009. http://digitalcommons.fiu.edu/etd/127.
Texto completoMANZO, MARIO. "ATTRIBUTED RELATIONAL SIFT-BASED REGIONS GRAPH (ARSRG):DESCRIPTION, MATCHING AND APPLICATIONS". Doctoral thesis, Università degli Studi di Milano, 2014. http://hdl.handle.net/2434/233320.
Texto completoDI, PIETRA VINCENZO. "Seamless Positioning and Navigation in Urban Environment". Doctoral thesis, Politecnico di Torino, 2019. http://hdl.handle.net/11583/2732878.
Texto completoAgmell, Simon y Marcus Dekker. "IR-Based Indoor Localisation and Positioning System". Thesis, Linköpings universitet, Fysik och elektroteknik, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-158175.
Texto completoConradie, Jean-Pierre. "Fluoroscopy based needle-positioning system for percutaneous nephrolithotomy procedures". Thesis, Stellenbosch : Stellenbosch University, 2008. http://hdl.handle.net/10019.1/1768.
Texto completoA fluoroscopy-guided needle-positioning system is designed and tested as a first prototype for aiding urologists in gaining fast, accurate and repeatable kidney calyx access during a PCNL procedure while also reducing radiation exposure of the people involved. Image guidance is realized by modelling the fluoroscopic system as an adapted pinhole camera model and utilizing stereo vision principles on a stereo image pair. Calibration, distortion correction and image processing algorithms are implemented on images of a designed calibration object. Thereafter the resulting variables are used in the targeting of the calyx with the aid of a graphical user interface. The required relative translation and rotation of the needle from its current position to the target is calculated and the system is adjusted accordingly. Using digital cameras, needle placement accuracies of 2.5 mm is achieved within the calibrated volume in a simulated environment. Similar results are achieved in the surgery room environment using the fluoroscopic system. Successful needle access in two porcine kidney calyxes concluded the testing
Wei, Xiao y 魏驍. "Image-Based Ego-Positioning". Thesis, 2014. http://ndltd.ncl.edu.tw/handle/29766583006145234369.
Texto completo國立臺灣大學
資訊網路與多媒體研究所
103
This thesis proposes an image-based ego-positioning framework to achieve sub-meter accuracy, with compact reference database compared to previous work, which can be used for the positioning of Internet connected devices. Consumer GPS devices nowadays obtain accuracy around several meters, which could be worse or even unable to work depending on the connection with GPS satellites. Current researches on image-based positioning utilize images and the reference database in different ways, however their accuracy, time consumption or database size have set limitations of their application. Experiments on different scenes in this work demonstrate that the method we proposed effectively reduce the size of reference database while main- taining a sub-meter accuracy for positioning. With evaluated performance, influencing factors are investigated, open problems are discussed for further improvements and applications.
LI, YU-CHENG y 李昱誠. "Indoor Precise Positioning System Based on Beacon Micro-Positioning and Image Recognition". Thesis, 2018. http://ndltd.ncl.edu.tw/handle/c42bsa.
Texto completo國立宜蘭大學
資訊工程學系碩士班
106
Global Positioning System (GPS) can provide instantly outdoor position, but GPS are affected by shelter or buildings when positioned in indoors. Signal error of GPS will become very large. Therefore, when the indoor environment cannot be located using GPS. Other indoor positioning technologies are needed to solve the indoor positioning problem. This study explores an indoor positioning method that can be easily used by users and managers. But each of the indoor positioning methods must causes some errors, this study will explore how to achieve the goal of precise positioning by combining other techniques to reduce the error value in the original error. This paper mainly uses Bluetooth Low Energy as the main architecture. On the device, Bluetooth Low Energy's technology provides an indoor positioning method that is compatible with most smart phones and tablets on the market, as well as low power consumption, low cost of construction and easy deployment. Using Beacon and Fingerprinting to detect indoor positioning, and then using Fast corner feature extraction and Hog feature comparison, finally, the angle difference and the scaling ratio are calculated to find the angle and displacement distance. According to the above that getting the actual location of the user and achieving the goal of accurate indoor position. According to the experimental results of this paper, after the user uses Beacon to build the environment, without additional equipment, just a smartphone or tablet can being used to perform the indoor position. That not only reducing the burden of cost but also through image processing and feature point matching to increase Beacon indoor positioning accuracy. For the problem of GPS indoor positioning error, it will be solved more efficiently.
HUANG, CHAO-CHUN y 黃朝群. "A Study on Image-Based LCD Positioning System". Thesis, 2001. http://ndltd.ncl.edu.tw/handle/99654695055902905616.
Texto completo逢甲大學
自動控制工程學系
89
In this thesis, a LCD positioning system based on Hough Transform is described. Traditionally, the center and edges of an aligning mark are used to analyze the orientation and position of the LCD flat plate. However, when mark is superposed each other or image is filled of noise and the edges are blurred, the problem of position verification becomes more complex. A common skew detecting technique can’t solve these problems. We assist an algorithm that can calculate the location and rotation angle for two marks precisely and quickly by using the Hough Transform. A mark position and orientation analyze method consists three steps. First step is an edge detection algorithm to overcome the image noise. Then to solve the defects of Hough Transform in line position storing and processing speed, a new Hough Transform parameter space and a FHT method based on block is established. Finally, a mark expected model is adopted. The mark expected technique would find LCD’s position and orientation; even a part of mark image is superposition. These methods are not only useful in mark recognition but also helpful in other study for analysis in Hough Transform parameter space.
Chen, Jiun-Yu y 陳俊宇. "Image-based Auto-positioning Brush for Interactive Painting Systems". Thesis, 2009. http://ndltd.ncl.edu.tw/handle/55651869484811893073.
Texto completo國立成功大學
電腦與通信工程研究所
97
More and more inventions in uses of multimedia services and human machine interface (HMI) have been greatly created recently. Due to appealing appearances, versatile functionalities, and low prices, some of them are popular through mass productions. In this thesis, the main goal is to realize an interactive painting system, which is primarily based on image recognition. In order to achieve a steady and low cost system, the proposed system is integrated by a general camera and a liquid crystal display (LCD) monitor in hardware. By using the designed positioning pattern and recognition technique, we accomplished various advanced painting functions, such as capturing texture, auto-positioning, icon selection, and posting a small video, etc. The proposed painting system was practiced by kindergartners. Experimental result shows that image-based auto-positioning brush (IA-Brush), which integrates with a video camera, LCD monitor, and pattern recognition technique, can achieve a highly-acceptable interactive painting system. We believe that the proposed system will exhibit great contributions to many other applications in interactive multimedia education and entertainment systems.
Shih-HuanHuang y 黃士桓. "The Development of Image-based Indoor Positioning and Image Recognition Technologies Using Smartphones". Thesis, 2017. http://ndltd.ncl.edu.tw/handle/k6rm2e.
Texto completoChang, Yi-Li y 張以立. "Google Street View image based vehicle moving trajectory positioning method". Thesis, 2014. http://ndltd.ncl.edu.tw/handle/35932373343885412567.
Texto completo國立宜蘭大學
多媒體網路通訊數位學習碩士在職專班
102
Due to the rapid development of information technology and the growth of network speed, we increasingly rely on the internet search engines in many aspects in our daily life, such as foods, clothing, housing, transportations, educations, and entertainments. Although the e-map provided on the internet is very convenient and powerful, but the GPS (satellite positioning) location readings provided by e-map and user’s camera are usually different. We hope to use image analysis technology to enhance the positioning accuracy. Image processing and analysis often use methods, such as edge detection, image segmentation, Fourier transform, image feature transform to analyze the degree of different between two images. This thesis aims to compare the image captured by camera with the street view images provided by Google. We compare the image differences through the analysis of image structure, color variance, spectral information, and ASIFT image matching techniques. By the results of image analysis, we expect to estimate the vehicle moving trajectory on the Google map. We proposed an approach combing all above mentioned image analysis methods. The experiment results demonstrate that our method can improve the positioning accuracy.
Ho, Tsung-Hsuan y 何宗軒. "Performance Evaluation of the Image Feature-Based Algorithm for Underwater Positioning". Thesis, 2018. http://ndltd.ncl.edu.tw/handle/2jdyx8.
Texto completo國立中山大學
海下科技研究所
106
Baseline acoustic positioning systems can obtain the absolute positions of underwater targets, but its update rate is slow and calibration is often complicated and tedious. In addition, temporal and spatial variations of water column sound speed profile significantly affect positioning accuracy of the baseline system. Doppler velocity log (DVL) and inertial navigation system (INS) have higher update rate than the baseline systems. But DVL and INS are dead reckoning systems which provide relative positioning only and suffer from time-dependent drift error. Considering that video cameras are standard equipment on almost underwater vehicles, it is easy to collect seafloor videos for a vehicle while conducting seafloor survey. With the advantages of high resolution and high frame rate, the seafloor video has great potential for accurately positioning an underwater vehicle based on image feature detection and matching. Therefore, in this study, the feature-based image matching algorithm for positioning an underwater vehicle is proposed. The seafloor videos collected off southwestern Taiwan at a depth of about 1000 meters by the deep-towed vehicle FITS (Fiber-optical Instrumentation Towed System) are used for evaluating the performance of the proposed algorithm. As the success of image feature detection and matching depends on various factors such as seafloor richness and roughness, descriptor of feature detection algorithms, threshold for Hessian keypoint detector, overlapping area of two images, and illumination, considerable effort in this study was made to assess the effects of various factors on the performance of the proposed algorithm. Performance evaluations were conducted by comparing the estimates of the proposed algorithm to the measurements of the DVL onboard the FITS.
Chen, Win-Bin y 陳文斌. "Simple Target Estimation-Based Multiple Image Coordinate Extraction Technique for Target Positioning". Thesis, 2008. http://ndltd.ncl.edu.tw/handle/88682571389823630766.
Texto completo國立中興大學
電機工程學系所
96
This thesis proposes a quick and precise method for target positioning using multiple image coordinate extraction (MICE) technique based on the simple target estimation (STE). In this approach, an aerial vehicle cruises through the target area in a simulated 3D graphic scenario, taking multiple images of the target. Then the obtained images and the associated aerial vehicle’s position data are recorded. After that, the MICE technique is performed to extract the target coordinates. It is hard to get the global solution using the MICE technique to estimate target positions. Generally, the solution can be achieved by a method of try and error with lots of time. In this thesis, the boundaries of solutions are first limited by the STE technique, which estimates the target positions approximately. Then, the MICE approach can speed up the estimation of the target coordinates precisely. In this thesis, a de-interlacing technique on the basis of direction-oriented interpolation is introduced. It is used to suppress the effect of the interlaced images on the target positioning. In addition, a concept on high density terrain data transformed from low density terrain data is made. Experimental results demonstrate that the STE approach can effectively speed up the MICE technique in precise estimation of target positioning.
Fan, Hsuan-Cheng y 樊辰軒. "Realization of Positioning Control for Rotor CraftsUsing Android-Based Image Processing Techniques". Thesis, 2012. http://ndltd.ncl.edu.tw/handle/86827728936127497867.
Texto completo國立雲林科技大學
電機工程系碩士班
100
This thesis proposes an image processing scheme on a cell phone equipped with Android operating system to positioning control for an autonomous rotorcraft. The scheme also provides an effective method for the transmission of the real-time image captured by the camera installed on the craft via 3G wireless network to the ground station. The 3G wireless techniques are considered appropriate for the requirement of long-distance transmission of real-time images captured by the rotorcraft. By contrast to the previous work in which the image processing was carried out in the computer system of the ground station, the present research focusing on the development of image processing techniques on the Android platform in a cell phone installed on the vehicle. The information derived from the images is fed to the flight controller via Bluetooth data communication. This video servoing technique has been proved very effective, efficient and low-cost. It not only resolves the long-distance communication problem, but reduces the complexity of the on-line image processing platform on the plane, which is usually expensive. Specifically, the conventional labeling algorithm of global search is not employed in this research for simplicity; instead, the so-called block matching technique is adopted to speed up the object searching process. This has been shown to have improved at least 50% processing speed than the conventional global labeling methods.
Lee, Shao-Chun y 李少鈞. "Automatic camera calibration and image-based object positioning systems based on 6-axis robot arm". Thesis, 2018. http://ndltd.ncl.edu.tw/handle/pay8ru.
Texto completo國立臺灣科技大學
機械工程系
106
This research provides two solutions to solve two exist problems in the automated production process. Firstly, we provide a solution to improve the efficiency and accuracy of a manual camera calibration process by using a robot-arm operated automatic calibration procedure. With the robot arm holding the camera in a predefined positions and orientation to take the pictures on the calibration board and calibrate the camera intrinsic parameters, the lens distortion parameters and hand-eye transform matrix at the same time in a fully autonomous manner. Secondly, in order to tackle the difficulty resulted from poor object positioning situations in the automated production process, we develop a new solution by attaching some artificial landmarks on the target object and using the camera system to perform the calibration based on the image containing the landmarks. In the case that the object has some position errors, the system can compute the compensation displacement needed by the robot arm by comparison of the two images of the artificial landmarks. The results in the experiments show both systems have successfully shown high performance, high accuracy and high implementation potential.
Wu, Yu-Chen y 吳佑鎮. "Image System Development on Positioning and Measurement by Feature Point based on Image Processing and Computer Vision". Thesis, 2017. http://ndltd.ncl.edu.tw/handle/8rgkwu.
Texto completoLin, Feng-Long y 林峰龍. "DSP-Based Image Processing and Implementation of Vision-Based Positioning System on Two-Axis Linear Motor Stage". Thesis, 2006. http://ndltd.ncl.edu.tw/handle/63131126498480807557.
Texto completo國立交通大學
機械工程系所
95
In this thesis, an vision-based positioning system is implemented on two-axis linear motor stage. Two sub-systems adopted herein are image processing and motion positioning subsystem. In the image processing subsystem, the raw vision of the moving object is captured from a CCD(Charge-Coupled Device) and the image is processed from the DSP-Based image card(DM64xMM).After several image processing procedures, such as the gray-scale processing, image enhancement, thresholding, and edge detection, the image data is transmitted to PC by USB interface to compute the centroid of the moving object. In the motion positioning subsystem, the object is controlled to move to the desired target by using a motion card(PISO-PS200).After integrating these two subsystems, the vision-based positoning system can move the object to target within one image pixel resolution.
Shiuan-ShiangWang y 王暄翔. "Logo Recognition on Mobile End Devices for Image-Based Indoor Positioning in Shopping Malls". Thesis, 2017. http://ndltd.ncl.edu.tw/handle/t7d897.
Texto completoFan, Chen-Neng y 范振能. "Implementation of light spot positioning system using FPGA-based image module and its applications". Thesis, 2007. http://ndltd.ncl.edu.tw/handle/5bh9pb.
Texto completo國立虎尾科技大學
光電與材料科技研究所
95
In this thesis, we propose a FPGA (Field Programmable Gate Array) chip module to implement the light spot positioning system and its applications. We use image sensor to capture two successive images by controlling the power of laser pointer or LED (light emitter diode) ON and OFF. Then a simple subtraction operation is used to eliminate the background and avoid the light noise. By this method, we can get a resulted image with noting but a clear light spot and it becomes very easy to locate its coordinate. We also design an algorithm suitable for FPGA-based system to locate the coordinate of light spot center. The conventional PC-based light spot locating method records all the coordinates of the spot pixel in the image, then compute the average center to get the coordinate of the light spot. Our algorithm uses the replaced method to save memory and logic elements in the FPGA module. The total used logic elements (LE) of our algorithm are only 16.6% of that of the conventional method. To interact with the computer, we use FPGA to control the USB micro-controller in a commercial USB mouse to make the compute cursor to follow the light spot motion. Besides, we put a diffractive optical element (DOE) in front of the image sensor to blur the background image and transform the light spot into a diffractive circle pattern. This approach can eliminate the subtraction noise caused by the two successive images without similar back-ground images.
Ming, Shiuan Fan y 范銘軒. "A Study on People Counting and Positioning Based on Image Recognition Using Disaster Scenario". Thesis, 2018. http://ndltd.ncl.edu.tw/handle/c3zm85.
Texto completo樹德科技大學
資訊管理系碩士班
106
In the event of an accident, the people fled in order to survive. The route of their journey was greatly affected by the environment and the surrounding conditions. The accident was often accompanied by smoke caused by various factors, which made it impossible to know effectively through the on-site surveillance camera. Personnel travel and escape, the personnel may be different in body shape or body state, and the moving process has different speeds of movement and collision with the push and the person in the image overlaps, so that the subsequent analysis and research on its travel dynamics Not easy. This study uses the artificial intelligence deep learning training model combined with image recognition technology to divide the Gongge area into 5 square meters for people to move in their area, and place smoke cakes for smoking, create a smoke scene of the disaster scene, and simulate The indoor camera monitors the camera, while the inverted U-shaped route simulates the overlap between the person''s escape and the obscuration of the smoke mask for image recognition in different route segments. The captured image is obtained by Tensorflow''s Object Detection API combined with SSD and Fast R-CNN training algorithms to detect the impact of smoke screen on personnel image recognition. After processing the frame image and data The chart shows that there is a significant difference in the recognition rate between the two, and the Fast R-CNN model is used to take the number and position information from the image from the comparison results. It is hoped that the research will improve the current disaster prevention route planning and post-disaster analysis. Integrity.
MING, TSAI-CHAO y 蔡肇銘. "Implementation of light spot positioning system using Lab-view based image module and its applications". Thesis, 2009. http://ndltd.ncl.edu.tw/handle/gv32dx.
Texto completo國立虎尾科技大學
光電與材料科技研究所
97
This paper presents that the laser light position using computer calculation make mouse index move to laser light position and then achieve the interactions between humans and machines. The calculation is the eliminations of odd frame and even frame due to light and dark changes from illuminant of laser pen. The light position system operation and control axis are designed by a commercial software package, Lab-VIEW (Laboratory Virtual Instrument Engineering Workbench). According to the light and dark changes and bright spread from laser pen, web camera gets two continuous frames, odd frame with laser spots and even frame without laser spots, and then gets one laser spot image from the elimination of two frames. The lightest position on CMOS sensor X/Y coordinates in laser image is calculated by Lab-view. In order to get the opposite positions between projection screen effect area and the coordinates of computer screen, the projection screen and the web camera resolution are adjusted. As the lightest position of laser point in CMOS sensor is recognized, the mouse index can be moved to the opposite position of computer screen and achieve the interactions between humans and machines. Additionally, all calculations are through computer and simplify other external circuit, for example, to process images by FPGA or DSP (Digital signal processing). The processes are three steps. First, the computer call DLL to get image by connecting web camera. Second, the laser spot coordinate position on web camera could be got by image process identification. Finally, the mouse index is moved to laser point position for chasing the laser index.
Jia-ShiuanTian y 田家瑄. "A Study on Positioning of Brand Image for BLUE BICYCLE of Triathlon Based on the Theory of Archetype". Thesis, 2015. http://ndltd.ncl.edu.tw/handle/15405307094401882822.
Texto completoLIN, ZONE-YI y 林宗毅. "A Study on Utilizations of Bayesian Network Model Schemes for Optimal Positioning of 3D Sensor Image-Based Applications". Thesis, 2018. http://ndltd.ncl.edu.tw/handle/cr66u2.
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