Search for dissertations about: "vision sensor"
Showing result 1 - 5 of 119 swedish dissertations containing the words vision sensor.
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1. Peripheral Vision : Adaptive Optics and Psychophysics
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
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2. Polynomial Solvers for Geometric Problems - Applications in Computer Vision and Sensor Networks
Abstract : Given images of a scene taken by a moving camera or recordings of a moving smart phone playing a song by a microphone array, how hard is it to reconstruct the scene structure or the moving trajectory of the phone? In this thesis, we study and solve several fundamental geometric problems in order to provide solutions to these problems. The key underlying technique for solving such geometric problems is solving systems of polynomial equations. READ MORE
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3. Sensor Fusion and Calibration of Inertial Sensors, Vision, Ultra-Wideband and GPS
Abstract : The usage of inertial sensors has traditionally been confined primarily to the aviation and marine industry due to their associated cost and bulkiness. During the last decade, however, inertial sensors have undergone a rather dramatic reduction in both size and cost with the introduction of MEMS technology. READ MORE
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4. Methods for Optimal Model Fitting and Sensor Calibration
Abstract : The problem of fitting models to measured data has been 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. READ MORE
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5. Visual Object Tracking and Classification Using Multiple Sensor Measurements
Abstract : Multiple sensor measurement has gained in popularity for computer vision tasks such as visual object tracking and visual pattern classification. The main idea is that multiple sensors may provide rich and redundant information, due to wide spatial or frequency coverage of the scene, which is advantageous over single sensor measurement in learning object model/feature and inferring target state/attribute in complex scenarios. READ MORE