Integrated Smooth Google Street View Videos and Maps for Route Planning
Date Issued
2010
Date
2010
Author(s)
Peng, Chi
Abstract
While planning route with electronic maps, we often only know about driving direction and the name of the streets, but we could not know the scenery along the route. Thus, it is sometimes hard for us to drive through the planned route in reality.
In this thesis, we provide a system that takes start and end point as input, and it will automatically connect to Google Map and Google Street View, downloading route information and scenery along the route. Finally it will generate smooth scenic video from starting point to destination, which combines maps to provide better route recognition. Users can watch the video as if they are driving a car through the planned route.
Our system is fully automatic, downloading panoramas from Google Street View and combines each picture with image alignment and blending technique to create a continuous video, with visually real quality.
With the output video, user can let the system play the video from start to end, or user can browse the video with slider to choose which part he wants to see and adjusts playing speed. When user feels the need to see the scene around him, he can open up another window with panorama image of current position, and he can view the scene with mouse.
Subjects
Google
street view
video
map
feature
blending, boundary cut
Type
thesis
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