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.
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Showing 1 to 20 of 184 for “"pose estimation"”.
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Pose estimation using cascade trees
… As a second extension, I designed a system for pose estimation based on an array of cascades. I performed an evaluation of this system and compared to normalized cross-correlation.
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INTELLIGENT PATH SEARCHING AND POSE ESTIMATION
… This thesis focuses on path searching and pose estimation for autonomous vehicle navigation. The thesis first studies multi-sensor pose estimation on the vehicle that is equipped with cameras, an altitude and heading reference system (AHRS), and digital maps. The proposed pose estimation …
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A deeper look at hand pose estimation
Hand pose recognition is a fundamental human ability and an important, yet elusive, goal for computer vision research. One of the major challenges in hand pose recognition is the sheer scale of the problem. The human hand is a notoriously agile object with 27 degrees of freedom. In a sense, it is …
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Pose estimation using overhead imagery and semantics
As hardware improves, so does the ability to run more complex algorithms. Improvements in the portability and performance of computing units has allowed for more compact robotic systems such as Micro Aerial Vehicles (MAVs), while developments in camera technologies has allowed for the generation of …
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Improving 3D human pose estimation in-the-wild
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2022-11-11 without embargo terms
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Stacked dense-hourglass networks for human pose estimation
… tasks, including the problem of 2D single-person pose estimation. For this task, the Stacked Hourglass Networks (Stack-HgNets) is one of the state-of-the-art architecture that uses residual modules extensively as the basic building block. The residual modules are well recognized for creating …
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Vision-based trailer pose estimation for articulated vehicles
… behind the truck or tractor, and one of two proposed image processing methods: template-matching and Parallel Tracking and Mapping (PTAM). The PTAM-based method was shown to be the more accurate and versatile method in full-scale vehicle tests. RMS measurement errors of 0.4-1.6$^\circ$ were …
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Robotic object pose estimation with deep neural networks
In this work, we introduce pose interpreter networks for 6-DoF object pose estimation. In contrast to other CNN-based approaches to pose estimation that require expensively-annotated object pose data, our pose interpreter network is trained entirely on synthetic data. We use object masks as an …
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Uncertainty Quantification in the context of 6D Pose Estimation
… Evidential method in the context of 6D Object Pose Estimation, where it can be crucial to have both information on the prediction and the uncertainty on the prediction (really important for safety-critical robotic manipulation).
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Towards Multi-Person 3D Pose Estimation in Natural Videos
Despite the increasing need of analyzing human poses on the street and in the wild, multi-person 3D pose estimation using static or moving monocular camera in real-world scenarios remains a challenge, requiring large-scale training data or high computation complexity due to the high degrees of …
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On the 3D point cloud for human-pose estimation
… methodologies for estimating a human pose from a 3D point cloud that is captured by a static depth sensor. Human-pose estimation (HPE) is important for a range of applications, such as human-robot interaction, healthcare, surveillance, and so forth. Yet, HPE is challenging because of …
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Planar Motion and Visual Odometry: Pose Estimation from Homographies
This thesis concerns ego-motion and pose estimation of a single camera under the assumptions of planar motion and constant internal camera parameters. Planar motion is common for cameras mounted onto mobile robots, particularly in indoor scenarios, as they remain at a constant height above the …
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Efficient hand orientation and pose estimation for uncalibrated cameras
We proposed a staged probabilistic regression method that is capable of learning well from a number of variations within a dataset. The proposed method is based on multi layered Random Forest, where the first layer consisted of a single marginalization weights regressor and second layer contained …
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Vision-based 6D object pose estimation for robot manipulation
Vision-based 6D object pose estimation focuses on estimating the 3D translation and 3D orientation of an object with respect to the camera. Accurately estimating the 6D object pose plays a crucial role in various robotic applications such as robot manipulation and semantic navigation. In this …
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Fast upper body pose estimation for human-robot interaction
This work describes an upper body pose tracker that finds a 3D pose estimate using video sequences obtained from a monocular camera, with applications in human-robot interaction in mind. A novel mixture of Ornstein-Uhlenbeck processes model, trained in a reduced dimensional subspace and designed …
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Multi-Agent Relative Pose Estimation with Ultra-Wideband Ranging
… ranging sensors to produce frequent inter-agent pose estimates with minimal communication overhead. This work is intended as a component of a larger multi-agent simultaneous localization and mapping (SLAM) system (also known as collaborative SLAM or CSLAM), where persistent UWB-based inter-agent …
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Articulated pose estimation via over-parametrization and noise projection
… of rigid segments connected by joints. The pose of a segment places constraints on adjacent segments because they are mechanically 'connected. When modeling or perceiving the motion of such an articulated system, it is beneficial to make use of these constraints to reduce uncertainty. In …
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