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Dissertations / Theses on the topic 'Camera based Depth Estimation'

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Published: 3 June 2025

Last updated: 31 July 2025

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1

Januzi, Altin. "Triple-Camera Setups for Image-Based Depth Estimation." Thesis, Uppsala universitet, Institutionen för elektroteknik, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-422717.

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This study was conducted as to attempt to find whether a three-camera setup could improve depth map retrieval as opposed to a two-camera setup. The study is based on three main ideas to exploit information from the additional camera. These are three cameras on one axis, as to exploit wide and short baseline benefits, three cameras on different axes, as to exploit vertical and horizontal scanning of the scene and a third idea of combining the two previous ideas. More than three cameras would impose particular implications on the solution and without sufficient theoretical justification thereof

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Nassir, Cesar. "Domain-Independent Moving Object Depth Estimation using Monocular Camera." Thesis, KTH, Robotik, perception och lärande, RPL, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-233519.

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Today automotive companies across the world strive to create vehicles with fully autonomous capabilities. There are many benefits of developing autonomous vehicles, such as reduced traffic congestion, increased safety and reduced pollution, etc. To be able to achieve that goal there are many challenges ahead, one of them is visual perception. Being able to estimate depth from a 2D image has been shown to be a key component for 3D recognition, reconstruction and segmentation. Being able to estimate depth in an image from a monocular camera is an ill-posed problem since there is ambiguity betwee

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Shafaei, Alireza. "Multiview depth-based pose estimation." Thesis, University of British Columbia, 2015. http://hdl.handle.net/2429/56180.

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Commonly used human motion capture systems require intrusive attachment of markers that are visually tracked with multiple cameras. In this work we present an efficient and inexpensive solution to markerless motion capture using only a few Kinect sensors. We use our system to design a smart home platform with a network of Kinects that are installed inside the house. Our first contribution is a multiview pose estimation system. Unlike the previous work on 3d pose estimation using a single depth camera, we relax constraints on the camera location and do not assume a co-operative user. We

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Huotari, V. (Ville). "Depth camera based customer behaviour analysis for retail." Master's thesis, University of Oulu, 2015. http://urn.fi/URN:NBN:fi:oulu-201510292099.

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In 2000s traditional shop-based retailing has had to adapt to competition created by internet-based e-commerce. As a distinction from traditional retail, e-commerce can gather unprecedented amount of information about its customers and their behaviour. To enable behaviour-based analysis in traditional retailing, the customers need to be tracked reliably through the store. One such tracking technology is depth camera people tracking system developed at VTT, Technical Research Centre of Finland Ltd. This study aims to use the aforementioned people tracking system’s data to enable e-commerce sty

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Harding, Cressida M. "How far away is it? : depth estimation by a moving camera." Thesis, University of Canterbury. Electrical and Electronic Engineering, 2001. http://hdl.handle.net/10092/6157.

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This thesis considers the challenge of autonomous robot navigation. Effective self-guiding robots are a tool applicable to many important and critical tasks, such as fire-fighting, transporting dangerous materials, even bomb disposal. In many cases the robots are even more useful if their method of guidance is passive and utilises common technology such as CCD cameras. Using biological models to inspire the design of such robots is an exhilarating approach to the problem and provides sensible and novel solutions. The method of determining distance to objects using the optical flow from sequen

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Sun, Yi. "Depth Estimation Methodology for Modern Digital Photography." University of Cincinnati / OhioLINK, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1563527854489549.

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Aldrovandi, Lorenzo. "Depth estimation algorithm for light field data." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2018.

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8

Sandberg, David. "Model-Based Video Coding Using a Colour and Depth Camera." Thesis, Linköpings universitet, Datorseende, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-68737.

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In this master thesis, a model-based video coding algorithm has been developed that uses input from a colour and depth camera, such as the Microsoft Kinect. Using a model-based representation of a video has several advantages over the commonly used block-based approach, used by the H.264 standard. For example, videos can be rendered in 3D, be viewed from alternative views, and have objects inserted into them for augmented reality and user interaction. This master thesis demonstrates a very efficient way of encoding the geometry of a scene. The results of the proposed algorithm show that it can

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Bodesund, Fredrik. "Pose estimation of a VTOL UAV using IMU, Camera and GPS." Thesis, Linköpings universitet, Reglerteknik, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-60641.

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When an autonomous vehicle has a mission to perform, it is of high importance that the robot has good knowledge about its position. Without good knowledge of the position, it will not be able to navigate properly and the data that it gathers, which could be of importance for the mission, might not be usable. A helicopter could for example be used to collect laser data from the terrain beneath it, which could be used to produce a 3D map of the terrain. If the knowledge about the position and orientation of the helicopter is poor then the collected laser data will be useless since it is unknown

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Bartosch, Nadine. "Correspondence-based pairwise depth estimation with parallel acceleration." Thesis, Mittuniversitetet, Avdelningen för informationssystem och -teknologi, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-34372.

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This report covers the implementation and evaluation of a stereo vision corre- spondence-based depth estimation algorithm on a GPU. The results and feed- back are used for a Multi-view camera system in combination with Jetson TK1 devices for parallelized image processing and the aim of this system is to esti- mate the depth of the scenery in front of it. The performance of the algorithm plays the key role. Alongside the implementation, the objective of this study is to investigate the advantages of parallel acceleration inter alia the differences to the execution on a CPU which are significant

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Ye, Mao. "MONOCULAR POSE ESTIMATION AND SHAPE RECONSTRUCTION OF QUASI-ARTICULATED OBJECTS WITH CONSUMER DEPTH CAMERA." UKnowledge, 2014. http://uknowledge.uky.edu/cs_etds/25.

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Quasi-articulated objects, such as human beings, are among the most commonly seen objects in our daily lives. Extensive research have been dedicated to 3D shape reconstruction and motion analysis for this type of objects for decades. A major motivation is their wide applications, such as in entertainment, surveillance and health care. Most of existing studies relied on one or more regular video cameras. In recent years, commodity depth sensors have become more and more widely available. The geometric measurements delivered by the depth sensors provide significantly valuable information for the

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Djikic, Addi. "Segmentation and Depth Estimation of Urban Road Using Monocular Camera and Convolutional Neural Networks." Thesis, KTH, Robotik, perception och lärande, RPL, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-235496.

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Deep learning for safe autonomous transport is rapidly emerging. Fast and robust perception for autonomous vehicles will be crucial for future navigation in urban areas with high traffic and human interplay. Previous work focuses on extracting full image depth maps, or finding specific road features such as lanes. However, in urban environments lanes are not always present, and sensors such as LiDAR with 3D point clouds provide a quite sparse depth perception of road with demanding algorithmic approaches. In this thesis we derive a novel convolutional neural network that we call AutoNet. It is

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Efstratiou, Panagiotis. "Skeleton Tracking for Sports Using LiDAR Depth Camera." Thesis, KTH, Medicinteknik och hälsosystem, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-297536.

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Skeletal tracking can be accomplished deploying human pose estimation strategies. Deep learning is shown to be the paramount approach in the realm where in collaboration with a ”light detection and ranging” depth camera the development of a markerless motion analysis software system seems to be feasible. The project utilizes a trained convolutional neural network in order to track humans doing sport activities and to provide feedback after biomechanical analysis. Implementations of four filtering methods are presented regarding movement’s nature, such as kalman filter, fixedinterval smoother,

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Barandas, Marília da Silveira Gouveia. "Range of motion measurements based on depth camera for clinical rehabilitation." Master's thesis, Faculdade de Ciências e Tecnologia, 2013. http://hdl.handle.net/10362/11046.

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Dissertação para obtenção do Grau de Mestre em Engenharia Biomédica<br>In clinical rehabilitation, biofeedback increases the patient’s motivation which makes it one of the most effective motor rehabilitation mechanisms. In this field it is very helpful for the patient and even for the therapist to know the level of success and performance of the training process. The human motion tracking study can provide relevant information for this purpose. Existing lab-based Three-Dimensional (3D) motion capture systems are capable to provide this information in real-time. However, these systems still pr

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Rosander, Peter. "Camera Based Terrain Navigation." Thesis, Linköping University, Linköping University, Automatic Control, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-16953.

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<p>The standard way for both ground and aerial vehicles to navigate is to use anInertial Navigation System, INS, containing an Inertial Measurement Unit, IMU,measuring the acceleration and angular rate, and a GPS measuring the position.The IMU provides high dynamic measurements of the acceleration and the angularrate, which the INS integrates to velocity, position and attitude, respectively.While being completely impossible to jam, the dead-reckoned estimates will driftaway, i.e., the errors are unbounded. In conjunction with a GPS, providing lowdynamic updates with bounded errors, a highly dy

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Jonnarth, Arvi. "Camera-Based Friction Estimation with Deep Convolutional Neural Networks." Thesis, Uppsala universitet, Avdelningen för systemteknik, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-355618.

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During recent years, great progress has been made within the field of deep learning, and more specifically, within neural networks. Deep convolutional neural networks (CNN) have been especially successful within image processing in tasks such as image classification and object detection. Car manufacturers, amongst other actors, are starting to realize the potential of deep learning and have begun applying it to autonomous driving. This is not a simple task, and many challenges still lie ahead. A sub-problem, that needs to be solved, is a way of automatically determining the road conditions, in

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Tabia, Ahmed. "Pose estimation with event camera." Electronic Thesis or Diss., université Paris-Saclay, 2024. http://www.theses.fr/2024UPAST093.

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La pose de la caméra est utilisée pour décrire la position et l'orientation d'une caméra dans un système de coordonnées absolu, en référence à six degrés de liberté. L'estimation de la pose de la caméra est essentielle dans divers domaines d'application, tels que la réalité augmentée, la navigationrobotique et les véhicules autonomes.Ces domaines exploitent la pose de la caméra pour des calculs ultérieurs, comme la localisation des objets et la perception de la scène.Estimer la pose d'une caméra présente des défis dans différents scénarios ; les conditions d'éclairage médiocres, y compris une

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Dey, Rohit. "MonoDepth-vSLAM: A Visual EKF-SLAM using Optical Flow and Monocular Depth Estimation." University of Cincinnati / OhioLINK, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1627666226301079.

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Hannuksela, J. (Jari). "Camera based motion estimation and recognition for human-computer interaction." Doctoral thesis, University of Oulu, 2008. http://urn.fi/urn:isbn:9789514289781.

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Abstract Communicating with mobile devices has become an unavoidable part of our daily life. Unfortunately, the current user interface designs are mostly taken directly from desktop computers. This has resulted in devices that are sometimes hard to use. Since more processing power and new sensing technologies are already available, there is a possibility to develop systems to communicate through different modalities. This thesis proposes some novel computer vision approaches, including head tracking, object motion analysis and device ego-motion estimation, to allow efficient interaction with m

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Khosravi, Sara. "Camera-based estimation of needle pose for ultrasound percutaneous procedures." Thesis, University of British Columbia, 2008. http://hdl.handle.net/2429/2505.

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A pose estimation method is proposed for measuring the position and orientation of a biopsy needle. The technique is to be used as a touchless needle guide system for guidance of percutaneous procedures with 4D ultrasound. A pair of uncalibrated, light-weight USB cameras are used as inputs. A database is prepared offline, using both the needle line estimated from camera-captured images and the true needle line recorded from an independent tracking device. A nonparametric learning algorithm determines the best fit model from the database. This model can then be used in real-time to estimate the

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Srestasathiern, Panu. "Line Based Estimation of Object Space Geometry and Camera Motion." The Ohio State University, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=osu1345401748.

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Carraro, Marco. "Real-time RGB-Depth preception of humans for robots and camera networks." Doctoral thesis, Università degli studi di Padova, 2018. http://hdl.handle.net/11577/3426800.

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This thesis deals with robot and camera network perception using RGB-Depth data. The goal is to provide efficient and robust algorithms for interacting with humans. For this reason, a special care has been devoted to design algorithms which can run in real-time on consumer computers and embedded cards. The main contribution of this thesis is the 3D body pose estimation of the human body. We propose two novel algorithms which take advantage of the data stream of a RGB-D camera network outperforming the state-of-the-art performance in both single-view and multi-view tests. While the first algo

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Gang, Siqi. "Driver-Monitoring-Camera Based Threat Awareness for Collision Avoidance." Thesis, KTH, Skolan för industriell teknik och management (ITM), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-263926.

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Since forward collision is one of the most common and dangerous types of traffic accidents, many studies and researches have been conducted to develop forward collision avoidance system. To facilitate the tradeoff between comfort and safety for forward collision avoidance, the driver's state needs to be monitored and estimated. Such support is necessary for Forward Collision Warning (FCW) system given human-involved control. Due to the advances of Driver Monitoring System (DMS), the demand for camera-based driver's state estimation has increased. This master thesis project, conducted at Zenuit

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Ekström, Marcus. "Road Surface Preview Estimation Using a Monocular Camera." Thesis, Linköpings universitet, Datorseende, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-151873.

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Recently, sensors such as radars and cameras have been widely used in automotives, especially in Advanced Driver-Assistance Systems (ADAS), to collect information about the vehicle's surroundings. Stereo cameras are very popular as they could be used passively to construct a 3D representation of the scene in front of the car. This allowed the development of several ADAS algorithms that need 3D information to perform their tasks. One interesting application is Road Surface Preview (RSP) where the task is to estimate the road height along the future path of the vehicle. An active suspension cont

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Wang, Chong, and 王翀. "Joint color-depth restoration with kinect depth camera and its applications to image-based rendering and hand gesture recognition." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2014. http://hdl.handle.net/10722/206343.

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Zhu, Zhenyu, and 朱振宇. "Mutual information-based depth estimation and 3D reconstruction for image-based rendering systems." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2012. http://hub.hku.hk/bib/B48329666.

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　　Image-based rendering (IBR) is an emerging technology for rendering photo-realistic views of scenes from a collection of densely sampled images or videos. It provides a framework for developing revolutionary virtual reality and immersive viewing systems. There has been considerable progress recently in the capturing, storage and transmission of image-based representations. This thesis proposes two image-based rendering (IBR) systems for improving the viewing freedom and environmental modeling capability of conventional static IBR systems. The first system consists of a circular array with 1

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Schennings, Jacob. "Deep Convolutional Neural Networks for Real-Time Single Frame Monocular Depth Estimation." Thesis, Uppsala universitet, Avdelningen för systemteknik, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-336923.

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Vision based active safety systems have become more frequently occurring in modern vehicles to estimate depth of the objects ahead and for autonomous driving (AD) and advanced driver-assistance systems (ADAS). In this thesis a lightweight deep convolutional neural network performing real-time depth estimation on single monocular images is implemented and evaluated. Many of the vision based automatic brake systems in modern vehicles only detect pre-trained object types such as pedestrians and vehicles. These systems fail to detect general objects such as road debris and roadside obstacles. In s

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Nißler, Christian [Verfasser]. "Environment- and Self-Modeling through Camera-Based Pose Estimation / Christian Nißler." Düren : Shaker, 2019. http://d-nb.info/1202218660/34.

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Galardini, Luca. "Research on Methods for Processing Large-Baseline Stereo Camera Data for Long Range 3D Environmental Perception." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2021.

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Depth perception and 3D object recognition with stereo cameras has a variety of applications. For example, the technology enables to sense ob-jects and possible dangers on automated cars using passive and cheap sen-sors. However, sensing range corresponds to camera baseline, and rigid camera mounting is only available to rather small baseline setups. Thus, typical systems do not exceed sensing ranges of around 50m. To enable higher ranges with baselines of about 1-2m on moving and vibrating plat-forms, non-rigidity of the setup (i.e. a variable relative camera orientation) must be considered.

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Hellberg, Simon, and Dominik Hollidt. "Evaluation of Camera Resolution in Optical Flow Estimation Using Event-Based Cameras." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-280321.

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Developments in event-based camera technology and their recent increase in pixel count raised the question of whether resolution helps the accuracy and performance of algorithms. This thesis studies the impact of resolution on optical flow estimation for event-based cameras. For this purpose, we created a data set containing a mix of synthetic scenes and real camera recordings with ground truth available. For the modeling of low-resolution data, we designed three different downsampling algorithms. The camera used for the real scene recordings was the Prophesee (CSD3SVCD), which was determined

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Gottleben, Emil. "Vision Based Control of Autonomous UAV." Thesis, Linköpings universitet, Reglerteknik, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-128870.

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This master thesis investigates the problem of making an unmanned aerial vehicle(uav) follow a person or a group of persons while keeping a fixed distance tothe chosen target. The purpose of this thesis is to give a proof of concept prototypeof how such a system would work to achieve that task. The main problemconsists of controlling the uav based on visual input from a camera. With thehelp of a visual object detection and tracking system, the image coordinates ofthe targets can be found. An algorithm was developed to calculate the target’sworld position based on its image coordinates and the

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Rodriguez, Joaquin. "Calibration and 3D vision with a color-polarimetric camera." Electronic Thesis or Diss., Bourgogne Franche-Comté, 2023. http://www.theses.fr/2023UBFCK062.

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Parmi les différentes modalités employées en détection, les capteurs de vision sont ceux qui fournissent le plus d'informations sur l'environnement. L'utilisation d'objectifs à courte focale permet en outre d'augmenter facilement la zone observée. L'apparition sur le marché d'imageurs couleurs et polarimétriques permet d'étendre encore davantage les applications en estimation de profondeur. En effet, les paramètres de polarisation de la lumière réfléchies ont liés à la nature des objets ainsi qu'à leur géométrie et peuvent être utilisés avantageusement. Dans cette thèse, notre objectif princip

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Li, Zetong. "A Vision-Based Distance Estimation System for Flying Copters." Thesis, Université d'Ottawa / University of Ottawa, 2020. http://hdl.handle.net/10393/41009.

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Currently, as one of the most popular technologies being discussed and experimented, the application of flying copters in different industries is facing an obvious barrier; which is how to avoid obstacles while flying. One of the industries among all is small-sized package delivery business, which is also the master topic of a series of experiments. The most popular designs that have used for the Flying Copter Obstacle Avoidance System such as lidar scanners and infrared rangefinders are significantly accurate. However, with the heavyweight, expensive price and higher power consumption, these

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Wang, Jie-Hung, and 王傑鴻. "Simulation-Based 3D Pose Estimation Using a Depth Camera." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/d62482.

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碩士<br>國立臺北科技大學<br>製造科技研究所<br>104<br>Object recognition and posture estimate play an important role in apply of automatic assembly and service robot. Today, the most popular method of recognition is using geometric or feature statistics further identify the object and estimate the posture by comparison of CAD model and point cloud of object by scanning. However, due to the infrared ray’s sensing parallax effect of Kinect sensor, causes significant distortion of point cloud information. In order to improve the efficacy of feature comparison of distortion point cloud data and object’s CAD model.

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Liu, Yueh-Sheng, and 劉曰聖. "Depth Acquisition System Based on Occlusion-Aware Depth Estimation with Light-Field Camera." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/9287j7.

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碩士<br>國立交通大學<br>光電工程研究所<br>106<br>Light-field cameras or plenoptic cameras have recently become available in consumer and industrial applications. Over the last decade, the researches have investigated the problem of highly-accurate and real-time depth reconstruction from a plenoptic camera. However, the depth resolution of plenoptic camera is very low due to narrow baseline, and the depth estimation is time-consuming because of the rough high software complexity. In this thesis, a detailed analysis of plenoptic camera is presented and an optimal plenoptic camera with a specific lens design is

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CHOU, WEI-JEN, and 周威任. "Depth Camera-Based Estimation System for Energy Expenditure of Physical Activities in Gym." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/syqhuc.

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碩士<br>國立臺北大學<br>資訊工程學系<br>105<br>Monitoring the energy expenditure (EE) is a crucial factor for people tracking their physical activity (PA). People can avoid the obesity and reduce the risk of chronic diseases by monitoring their EEs. In this study, a depth camera-based system for EE estimation of PA in gym is proposed. Most of the previous studies utilize inertial measurement unit (IMU) to estimate EE. Compared to the IMU-based systems, the proposal system can provide a more convenient way to monitor subjects’ treadmill workouts in gym without wearing any devices. In this study, 21 participa

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Ju-PengHuang and 黃如鵬. "Realization of Depth Estimation from Monocular Camera Based on Defocus Algorithm and Reverse Heat Equation." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/rtgkgk.

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Chien, Shao-Yu, and 簡紹羽. "Background depth estimation based on camera motion and its application to 2D-to-3D stereoscopic video conversion." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/40125316147337511936.

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碩士<br>國立中正大學<br>電機工程所<br>97<br>The stereo display technology has become mature in recent years. The use of stereo display, in combination with 3D image/video contents, really makes the viewers immersed in reality. There are many methods for getting stereo video. A practical, low-cost, and fast way is to use the original 2-D video, in combination with depth conversion, to generate 3-D video. Therefore, in this thesis, we would like to develop a system to convert existing 2-D videos to their 3-D versions for stereo display. In this thesis, it is assumed that the camera has slow motion, which is

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Hsieh, Meng-Hsun, and 謝孟勳. "Deep Learning Based Depth Estimation and Analysis for 360° Stereo Cameras." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/y7mjfw.

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碩士<br>國立交通大學<br>電子研究所<br>107<br>The 360 degree virtual view synthesis plays an important role in Virtual Reality and the depth map is the key information to reconstruct the 3D world. In this study, we use two spherical cameras to form a 360° stereo system, which can capture all the surrounding scene in two views. We then use these two spherical images to estimate the spherical depth map. We developed a depth estimation procedure on the spherical stereo images using an existing neural network, PSMNet. To train the network for spherical disparity estimation, we built a panorama stereo image data

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Lee, Yi-Fang, and 李沂芳. "A Posture-Classification-Based Estimation System for Energy Expenditure of Physical Activities Captured by Depth Cameras." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/f76979.

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碩士<br>國立臺灣科技大學<br>資訊工程系<br>107<br>The energy expenditure of different physical activities can help people make proper exercise planning. In this thesis, we develop an estimation system for energy expenditure of physical activities captured by depth cameras. In this system, users need not wear any devices while doing the workouts. The system can first classify the postures of standing, walking, and running, then estimate energy expenditure based on different physical activities postures. In this study, 21 subjects were recruited to participate in energy expenditure experiments in physical activ

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TSAI-JIE-SHIOU and 蔡杰修. "Gaze Direction Estimation Using Only A Depth Camera." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/qmgq94.

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碩士<br>國立臺灣科技大學<br>電子工程系<br>106<br>Over the years, gaze estimations have become more and more popular in the computer vision processing and been widely used in many applications. Many methods had been developed to solve the problem of determining where people are looking at. However, current gaze estimation methods tend to be expensive, inconvenient, and invasive. This thesis presents a non-invasive approach to estimate the user’s gaze direction based on a single consumer depth camera. The proposed method is able to estimate gaze directions under various lighting conditions and operating distan

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Wong, Sin-Lung, and 黃新隆. "Real-Time Human Body Posture Estimation Using Depth Camera." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/25145582122553447840.

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碩士<br>國立中興大學<br>電機工程學系所<br>102<br>This thesis proposes a real-time three dimensional (3D) human body posture estimation method using significant points extracted from two-dimensional (2D) human body contour and their depth information from a depth camera. The located human body significant points include the head, center of the body, the tips of the feet and the hands, the shoulders, the elbows, and the knees. This thesis uses the Kinect camera to capture both the color and depth image sequences at the same time. For human body segmentation, an Angle-Compensated segmentation method in the Red,

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Kumar, A. Kiran, and G. Ram Pratheek. "Depth and Zoom Estimation for PTZ Camera Using Stereo Vision." Thesis, 2014. http://ethesis.nitrkl.ac.in/5858/1/110CS0515.pdf.

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Depth perception comes naturally to humans. However in a Computer Vision scenario estimation of distance between object and camera is an area still under research. This thesis aims to use binocular stereo vision to reconstruct a 3D scene from 2D images of the scene taken by a pair of cameras and use it to estimate the distance of the object from the camera. Further, this estimated distance is used to calculate the Zoom of a PTZ camera. Although there are various ways to determine the distance of an object from the camera using Sensors, Lasers and other such external devices, the method used in

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Hu, Jhen-Da, and 胡振達. "Hybrid Hand Gesture Recognition Based on Depth Camera." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/7febjn.

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碩士<br>國立交通大學<br>多媒體工程研究所<br>103<br>Hand gesture recognition (HRG) becomes one of most popular topics in recent years because that hand gesture is one of the most natural and intuitive way of communication between Human and machines. It is widely used in HCI (Human-Computer-interaction). In this paper, we proposed a method for hand gesture recognition based on depth camera. Firstly, the hand information within depth image is separated from background based on a specific range of depth. And the contour of hand is detected after segmentation. After that, we estimate centroid of hand, and palm siz

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Shiu, Hung-Wei, and 徐鴻煒. "3D Human Posture Tracking Based on Depth Camera." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/81555185244865050910.

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Chen, Kuan-Hua, and 陳冠樺. "Real-time upper body pose estimation from a single depth camera." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/97569071892820730970.

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碩士<br>國立交通大學<br>多媒體工程研究所<br>103<br>Estimating upper human poses accurately in real time is a challenging problem. Lately, the state-of-art work adopted randomized forest training method to acquire human parts accurately in real time. However, this method needs enormous training data to obtain favorable results. And these training images with high quality ground truth labels are very expensive to obtain. In the randomized forest training method, lacking of training data will lead to improper results. In order to solve this problem, we propose a two-stage training model method to estimate human

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Hsu, Li-Heng, and 徐立恆. "Real-time Depth Estimation for Multiple PersonsUsing Single Camera and OPENPOSE." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/6tsvvc.

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碩士<br>國立臺灣海洋大學<br>資訊工程學系<br>107<br>In recent years, because of the breakthrough of neural networks and the rise of deep learning, the advancement of computer vision has become more and more common in the practical application of image recognition. Automated vehicles, drones, portable devices, behavior identification, indoor positioning and many other industries also need to rely on the integrated application and support of deep learning and machine vision. In these technologies, there is a large demand for the accuracy of identification of people or objects. Among them, the identification of c

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Lin, Wei-Yu, and 林為瑀. "Deep Learning-based Obstacle Depth Estimation." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/gfa5w4.

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碩士<br>國立交通大學<br>資訊科學與工程研究所<br>106<br>Obstacle detection and avoidance are crucial issues in robotics and unmanned vehicles. In these kind of applications, we usually use a front-view camera as the system’s visual inputs. Due to perspective projection, we cannot know the object depth using the front-view camera image. Thus, most of the obstacle avoidance system rely on extra hardware, like RGB-D sensor, to get the object depth information. In order to deal with the loss of object depth information, we modify the existing deep learning-based object detection architecture – YOLOv3 and add an extr

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LIN, HUA-WEI, and 林華煒. "The Study of Food Intake Estimation Method Using Short-Range Depth Camera." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/qt8t6d.

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碩士<br>朝陽科技大學<br>資訊工程系<br>105<br>Dietary assessment is very important to people in modern life. Use the dietary assessment system to measure the weight of the food. To assess whether the intake of the meal is sufficient. Today, Taiwan is an aging society and many old people suffer from chronic diseases which always control the recurrence of chronic diseases by diet control. How to effective and accurate measurement of food weight is the main research objective of this paper. In general, food intake measurement is performed by using a scale. However, it is inconvenient since the food is measure

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Chahal, Nidhi. "Depth estimation : a machine learning based approach." Thesis, 2017. http://localhost:8080/xmlui/handle/12345678/7367.

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