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Visar resultat 1 - 5 av 9 avhandlingar som matchar ovanstående sökkriterier.
1. Mapping and Merging Using Sound and Vision : Automatic Calibration and Map Fusion with Statistical Deformations
Sammanfattning : Over the last couple of years both cameras, audio and radio sensors have become cheaper and more common in our everyday lives. Such sensors can be used to create maps of where the sensors are positioned and the appearance of the surroundings. LÄS MER
2. Robust Visual Object Tracking mean shift, particle filters and point features
Sammanfattning : Visual object tracking has been identified as a promising technique for many computer vision applications like surveillance, flight navigation, video compression and driver assistance. The main idea is to find the state ofthe object and how it changes over time, in recursive video frames. LÄS MER
3. Computational Methods for Computer Vision : Minimal Solvers and Convex Relaxations
Sammanfattning : 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. LÄS MER
4. Motion and Structure Estimation From Video
Sammanfattning : Digital camera equipped cell phones were introduced in Japan in 2001, they quickly became popular and by 2003 outsold the entire stand-alone digital camera market. In 2010 sales passed one billion units and the market is still growing. LÄS MER
5. ROBUST ROTATION AND TRANSLATION ESTIMATION IN STRUCTURE FROM MOTION
Sammanfattning : Due to advances in technology the amount of images from portable cameras has increased tremendously in recent years. Nowadays, most new mobile phones and cars have multiple cameras. Drones and other robots are often equipped with cameras as well. To be able to capture an image is not the same as to understand the content of it. LÄS MER