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 16 of 16 for “"Computer graphics and computer vision"”.
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Differentiable volume rendering using signed distance functions
Gradient-based methods are often used in a computer graphics and computer vision context to solve inverse rendering problems. These methods can be used to infer camera parameters, material properties, and even object pose and geometry from 2D images. One of the challenges that faces differentiable …
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Accelerated volumetric reconstruction from uncalibrated camera views
While both work with images, computer graphics and computer vision are inverse problems. Computer graphics starts traditionally with input geometric models and produces image sequences. Computer vision starts with input image sequences and produces geometric models. In the last few years, there has …
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3D face modeling with a consumer depth camera
… of the face is an important research topic in computer graphics and computer vision. The applications for face models include computer animation and facial analysis. Over the past few decades, several face modeling techniques have been developed using both active and passive sensors. Unlike …
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Multi-scale and multi-spectral shape analysis: from 2d to 3d
… is a fundamental aspect of many problems in computer graphics and computer vision, including shape matching, shape registration, object recognition and classification. Since the SIFT achieves excellent matching results in 2D image domain, it inspires us to convert the 3D shape analysis to 2D …
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Multi-view image refocusing
Image refocusing is a potential research area in computer graphics and computer vision. By definition it means focusing an image again, or changing the emphasized region in a given image. To achieve the focusing job, it requires shallow depth of field to create a focus-defocus scene, which depends …
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Wavelet-Based Multiresolution Surface Approximation from Height Fields
… has numerous applications in the fields of computer graphics and computer vision. Triangular mesh approximations are a popular means of representing three-dimensional surfaces, and multiresolution analysis (MRA) is often used to obtain compact representations of dense input data, as well as …
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Shape Analysis Using Spectral Geometry
… analysis is a fundamental research topic in computer graphics and computer vision. To date, more and more 3D data is produced by those advanced acquisition capture devices, e.g., laser scanners, depth cameras, and CT/MRI scanners. The increasing data demands advanced analysis tools including …
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Non-isometric 3D shape registration.
3D shape registration is an important task in computer graphics and computer vision. It has been widely used in the area of film industry, 3D animation, video games and AR/VR assets creation. Manually creating the 3D model of a character from scratch is tedious and time consuming, and it can only …
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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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Multi-target Tracking Using on-line Viterbi Optimisation and Stochastic Modelling
To study and compare the safety of intersection, traffic scientists today typically manually monitor the intersection during several days and count how often certain events such as evasive manoeuvres occur. This is a laboursome and costly procedure. The aim of this thesis is to provide tools that …
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Discrete Optimization in Early Vision - Model Tractability Versus Fidelity
Early vision is the process occurring before any semantic interpretation of an image takes place. Motion estimation, object segmentation and detection are all parts of early vision, but recognition is not. Some models in early vision are easy to perform inference with---they are tractable. Others …
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Early Vision Optimization: Parametric Models, Parallelization and Curvature
Early vision is the process occurring before any semantic interpretation of an image takes place. Motion estimation, object segmentation and detection are all parts of early vision, but recognition is not. Many of these tasks are formulated as optimization problems and one of the key factors for …
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Efficient Structure and Motion: Path Planning, Uncertainty and Sparsity
… explores methods for solving the structure-and-motion problem in computer vision, the recovery of three-dimensional data from a series of two-dimensional image projections. The first paper investigates an alternative state space parametrization for use with the Kalman filter approach to …
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Higher-Order Regularization in Computer Vision
At the core of many computer vision models lies the minimization of an objective function consisting of a sum of functions with few arguments. The order of the objective function is defined as the highest number of arguments of any summand. To reduce ambiguity and noise in the solution, …
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Methods for Optimal Model Fitting and Sensor Calibration
… studied extensively, not least in the field of computer vision. A central problem in this field is the difficulty in reliably find corresponding structures and points in different images, resulting in outlier data. This thesis presents theoretical results improving the understanding of the …
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Mathematical Methods for Image Based Localization
… compared to GPS are that no open sky is needed and that a higher precision is possible to achieve. The thesis consists of an introductory chapter followed by six papers. In the first paper, enhancements of Gröbner basis techniques to solve systems of polynomial equations are presented. The new …