Technologies of Vision: semantic image labelling
Visual Environment Monitoring: the Marmota project
Our goal is to understand what is being seen through the lens of a camera. Through the integration of diverse skills from many disciplines, ranging from cartographic projection, advanced 3D computer graphics and cutting-edge machine vision algorithms we hope to automatically align, generate and visualize geo-referenced meta-data (contacts).
|3D from 2D||Content Creation||Social Sensor Network|
|By accurately aligning 2D photos with a 3D model of the real World we can bring an added dimension to your photos. No need for multiple images; just give Marmota a location and it does the rest||By seeing inside photos we can auto-generate meta-data such as visible mountains or villages, estimate snow coverage and even segment foreground objects through occlusion reasoning||A spatio-temporal overlay can be realised by amassing thousands of aligned images. From such a layer we can generate new, constantly updating and novel viewpoints|
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