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 15 of 15 for “"Camera Pose Estimation"”.
-
Analytical camera pose estimation and inverse modelling of high order radial lens distortion polynomials for close range photogrammetry
Camera calibration aims at estimating intrinsic and extrinsic camera parameters that accurately describe the projection of points from the 3D scene to the 2D image sensor. The absence of numerical estimates of parameters describing the camera internal and external geometry can prevent absolute …
-
Semi-direct visual SLAM for stereo cameras: system design and validation
… vision, Visual-SLAM (VSLAM) that relies on cameras becomes a major topic. Specifically, stereo cameras can provide additional depth information along with regular RGB information. In this thesis, state-of-the-art VSLAM methodologies are reviewed and evaluated over standard vision benchmarks. …
-
LARGE-SCALE NEURAL 3D SCENE RECONSTRUCTION, RENDERING, AND BEYOND
… in scalability, robustness to imperfect camera poses, and consistency across distributed captures. To address these, we introduce a series of innovations. For scalability, AdaSfM enables distributed camera pose estimation by adapting to scene complexity. Building on this, DOGS, a …
-
Learning and Exploiting Camera Geometry for Computer Vision
… statistical methods in describing and estimating camera poses, as well as the information feedback loop between camera pose and object detection. Surging development in robotics and computer vision has pushed the need for algorithms that infer, understand, and utilize information about the …
-
Statistical methods for 2D-3D registration of optical and LIDAR images
… image with the LIDAR point cloud, which is a camera pose estimation problem. We propose a novel application of mutual information registration which exploits statistical dependencies in urban scenes, using variables such as LIDAR elevation, LIDAR probability of detection (pdet), and optical …
-
Long-range outdoor monocular localization with active features for ship air wake measurement
Monocular pose estimation is a well-studied aspect of computer vision with a wide array of applications, including camera calibration, autonomous navigation, object pose tracking, augmented reality, and numerous other areas. However, some unexplored areas of camera pose estimation remain …
-
A markerless augmented reality system using one-shot structured light
… reality (AR) is a technology that superimposes computer-generated 3D and/or 2D information on the user’s view of a surrounding environment in real-time, enhancing the user’s perception of the real world. Regardless of the field for which the application is applied, or its primary purpose …
-
Geometry and Uncertainty in Deep Learning for Computer Vision
… computer vision problems; scene understanding, camera pose estimation, stereo vision and video semantic segmentation. Our models outperform traditional approaches and advance state-of-the-art on a number of challenging computer vision benchmarks. However, these end-to-end models are often not …
-
Machine Learning with Geometric Algebra: Multivectors for Modelling, Understanding and Computing
… and structure prediction; Chapter 4 addresses 3D camera pose estimation and 3D line alignment; Chapter 5 focuses on the solution of partial differential equations for computational fluid dynamics and electromagnetism. We demonstrate that GA can be employed as a versatile, practical and principled …
-
Visual Terrain Relative Navigation: Pose Estimation, Neural Fields, and Verification
… (TRN) is a method for GPS-denied absolute pose estimation using a prior terrain map and onboard camera. TRN is commonly desired for applications such as planetary landings, unmanned aerial vehicles (UAVs), and airdrops, where GPS is either unavailable or cannot be relied upon due to both …
-
An Augmented Reality System for Urban Environments using a Planar Building Fa�cade Model
… capabilities, internet access, high resolution cameras, and positioning sensors. This widespread adoption coupled with the hardware capability's of current generation smartphones present a great opportunity to develop mobile augmented reality (AR) applications for visualising geospatial …
-
Real-time Dense Simultaneous Localisation and Mapping over Large Scale Environments
… often coupled with dense methods is General- Purpose computing on Graphics Processing Units (GPGPU) which exploits the massive parallelism available in GPU hardware to perform high speed and often real-time processing on entire images every frame. Being an affordable commodity technology, …
-
Vision-Based Rendering: Using Computational Stereo to Actualize IBR View Synthesis
… limiting the simulation experience. The purpose of this dissertation is to enable the process of automated content creation for large numbers of photographs. The workflow goal consists of a user photographing any real-world environment intended for simulation, and then loading the …
-
Leveraging Geometric Priors for In-the-wild Pose Estimation and 3D Reconstruction
… many real-world perception problems highly ill-posed. While deep learning methods have been applied to extract meaningful 3D information by learning underlying priors, they often suffer from domain gaps and require large labeled datasets. In contrast, optimization-based approaches, which do not …