Sökning: "visual mapping"
Visar resultat 6 - 10 av 76 avhandlingar innehållade orden visual mapping.
6. Voicing on the borders of language
Sammanfattning : My research engages with the varieties of relationship between verbal and non-verbal forms of language and communication. I approach the issue through three people who live or work with non-verbal people on the autistic spectrum: Phoebe Caldwell, Fernand Deligny and Iris Johansson. LÄS MER
7. 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
8. Visual Object Tracking and Classification Using Multiple Sensor Measurements
Sammanfattning : 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. LÄS MER
9. Towards Robust Visual Localization in Challenging Conditions
Sammanfattning : Visual localization is a fundamental problem in computer vision, with a multitude of applications in robotics, augmented reality and structure-from-motion. The basic problem is to, based on one or more images, figure out the position and orientation of the camera which captured these images relative to some model of the environment. LÄS MER
10. Towards Robust Visual Localization in Challenging Conditions
Sammanfattning : Visual localization is a fundamental problem in computer vision, with a multitude of applications in robotics, augmented reality and structure-from-motion. The basic problem is to, based on one or more images, figure out the position and orientation of the camera which captured these images relative to some model of the environment. LÄS MER