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Showing result 1 - 5 of 220 swedish dissertations matching the above criteria.

  2. 1. Optics for Low Vision Enabling

    Author : Jörgen Gustafsson; Certec - Rehabiliteringsteknik och Design; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Eccentric viewing; Low vision optics; Low vision rehabilitation; People with low vision; Preferred retinal; locus PRL ; Resolution; Visual acuity; Ophtalmology; Medicinsk teknik; Medical technology; Rehabilitering medicinsk och social ; rehabilitation; revalidation; kinesitherapy; Oftalmologi; Physical medicine; Contrast sensitivity; Detection; Eccentric correction; CFL ; Central visual field loss; Central scotoma; Aberrations; Astigmatism;

    Abstract : For people with central visual field loss, eccentric vision is all that they have to rely on. Even for those who learn how to correctly utilize their eccentric vision, it will never be as good as the central for two entirely different reasons: the off-axis optics of the eye can result in large refractive errors, and the low function of the peripheral retina. READ MORE

  4. 2. Peripheral Vision : Adaptive Optics and Psychophysics

    Author : Robert Rosén; Peter Unsbo; Larry Thibos; KTH; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES;

    Abstract : This thesis is about our peripheral vision. Peripheral vision is poor compared to central vision, due to both neural and optical factors. The optical factors include astigmatism, defocus and higher order aberrations consisting mainly of coma. Neurally, the density of ganglion cells decreases towards the periphery, which limits the sampling density. READ MORE

  5. 3. Embedded high-resolution stereo-vision of high frame-rate and low latency through FPGA-acceleration

    Author : Carl Ahlberg; Mikael Ekström; Ignacio Bravo Munoz; Mälardalens högskola; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Computer vision; stereo vision; FPGA; embedded systems; Computer Science; datavetenskap;

    Abstract : Autonomous agents rely on information from the surrounding environment to act upon. In the array of sensors available, the image sensor is perhaps the most versatile, allowing for detection of colour, size, shape, and depth. For the latter, in a dynamic environment, assuming no a priori knowledge, stereo vision is a commonly adopted technique. READ MORE

  6. 4. Computational Methods for Computer Vision : Minimal Solvers and Convex Relaxations

    Author : Viktor Larsson; Mathematical Imaging Group; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Computer Vision; Geometric Vision; minimal solvers; Convex relaxation; Pose estimation;

    Abstract : Robust fitting of geometric models is a core problem in computer vision. The most common approach is to use a hypothesize-and-test framework, such as RANSAC. In these frameworks the model is estimated from as few measurements as possible, which minimizes the risk of selecting corrupted measurements. READ MORE

  7. 5. Low Rank Matrix Factorization and Relative Pose Problems in Computer Vision

    Author : Fangyuan Jiang; Matematik LTH; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Geometric Computer Vision; Low-rank Matrix Factorization; Relative Pose;

    Abstract : This thesis is focused on geometric computer vision problems. The first part of the thesis aims at solving one fundamental problem, namely low-rank matrix factorization. We provide several novel insights into the problem. In brief, we characterize, generate, parametrize and solve the minimal problems associated with low-rank matrix factorization. READ MORE