Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
Results
Showing 1 to 19 of 19 for “"Depth cameras"”.
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Depth camera calibration using depth measurements
… acquisition field is the emergence of low cost depth cameras that measure the scalar distance between the objects present in the scene and the cameras. These cameras project infra-red rays and use time of flight to measure the distance at each pixel. These cameras have the potential to …
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Three-dimensional propagation algorithm for depth image-based rendering
Depth image based rendering (DIBR) is the process of synthesizing new ``virtual'' views from a set of ``real'' views which include color and depth images. Because of its photorealism and less stringent computational requirement, DIBR has many applications such as 3D TV, remote reality, and video …
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Sensing Rhythm: Synchronizing Auditory Feedback and Movement
… synchronization system that works with RGB-depth cameras. We use phase tracking to produce auditory feedback that is synchronized with a user. Applications to walking, running, cycling and speed skating demonstrate the methods and thirteen speed skating athletes test the robustness and …
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Neural Representation for robotics
… objects to manipulate, primarily through vision cameras. Accurate perception is especially crucial in assembly tasks, where robots must precisely localize objects for manipulation. The localization process is traditionally divided into three interdependent subtasks: geometry reconstruction, pose …
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3D sensing and mapping using mobile color and depth sensors
… acquisition field is the emergence of low cost depth sensors that measure the scalar distance between the camera and the surrounding objects present in the scene. These depth sensors project infrared rays that are invisible to humans to measure the scene distance at each pixel. These sensors …
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Localization and tracking of parameterized objects in point clouds
… data. Sensors like laser range-finders and depth cameras have become increasingly popular in autonomous robotic applications. A common task is to locate and track specific objects of interest located somewhere in the point cloud. This often introduces a tedious network of heuristics to build …
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Omnidirectional view and multi-modal streaming in 3D tele-immersion system
… will be captured by multiple RGB-D (color plus depth) cameras surround- ing user’s body. In addition, various sensors (e.g., motion sensors, medical sensors, wearable gaming consoles, etc.) specified by the application will be included to deliver a multi-modal experience. In a traditional 2D …
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3D face modeling with a consumer depth camera
… typically expensive. Recently, low-cost consumer depth cameras have become widely available due to the success of Microsoft's Kinect camera. The Kinect is an active sensor that provides depth images at video rate; however, the images are often noisy and missing measurements. In this thesis, we …
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3D Hand Pose Estimation Via a Lightweight Deep Learning Model
Deep Learning with depth cameras has enabled 3D hand pose estimation from RGBD images. Commercial solutions like Leap Motion and Intel RealSense™ use stereoscopic sensors or IR illumination-based methods to capture the depth in a photograph and further estimate pose using Deep Learning (DL) …
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Algorithms and low-power hardware for image processing applications
… the benefits of the new hardware. For example, depth cameras have been created to add a new dimension to human-computer interaction. They can benefit applications that can operate on the raw depth data directly, such as breath monitoring. As for new algorithms, convolutional neural networks …
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Point cloud alignment in arm reconstruction for lymphedema detection by iterating pairwise ICP
… 8 inexpensive positionally fixed realsense sr300 depth cameras in a frame that can be placed on a flat surface, and used to scan a patient's arm in order to build a 3D mesh that can be used to extract not only the total volume of the arm but also the volume of specific segments. A special focus is …
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A Low-cost autonomous tracking camera system for 3d marker-less motion capture of animals in the wild
… as RGB (red green blue) or RGB-D (red green blue-depth) cameras. Physical constraints limit the amount of data that can be collected with a single sensor (or set of sensors) since the subject is typically constrained to a specific capture area based on the sensor's field of view (FOV). This study …
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Shape Analysis Using Spectral Geometry
… capture devices, e.g., laser scanners, depth cameras, and CT/MRI scanners. The increasing data demands advanced analysis tools including shape matching, retrieval, deformation, etc. Nevertheless, 3D Shapes are represented with Euclidean transformations such as translation, scaling, and …
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Computer Vision Applications for Autonomous Aerial Vehicles
… proliferation of special vision sensors, such as depth cameras, lidar sensors and thermal cameras, and major breakthroughs in computer vision and machine learning fields accelerated the advance of UAV research and technology. However, due to certain unique challenges imposed by UAVs, such as …
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Image restoration from noisy and limited measurements with applications in 3D imaging
… and applied for 3D model reconstruction with a depth camera, which is a recently introduced device with many potential applications in 3D imaging and human-machine interaction. Currently, the depth camera is limited in resolution and suffers from complex types of noise. In the proposed method, …
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Real-time 3D face localization and verification
… and verification using a consumer-grade depth camera. Our approach consists of three parts: face detection, head pose estimation, and face verification. Face detection is performed using a standard detection framework which we significantly improve by leveraging depth information. To …
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Bridging the Realism Gap for CAD-Based Visual Recognition
… framework is proposed to render realistic depth images from 3D models, as a growing number of solutions (especially in the industry) are utilizing low-cost depth cameras (e.g., Microsoft Kinect and Intel RealSense) for recognition tasks. Based on a thorough study of these devices and the …
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Vision-based workface assessment using depth images for activity analysis of interior construction operations
… and extracting body skeleton features from depth images; 2) A discriminative bag-of-poses activity classifier trained using multiple Support Vector Machines for classifying single visual activities from a given body skeleton sequence; and 3) a Hidden Markov model with a Kernel Density …
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Novel Approach for Non-Invasive Prediction of Body Shape and Habitus
… in movement data. The Azure Kinect DK is a depth camera that collects point cloud data of the surface of the person and automatically calculates joint centers. The objectives of this thesis were to 1) Design a fast and accurate procedure to generate a full-body point cloud with two Azure …