THESIS
2020
Abstract
As part of Mixed Reality, Augmented Virtual Environment (AVE) fuses dynamic imagery
with 3D models in a real-time display to augment the virtual environment. With the
recent advances in geographical data collection and 3D reconstruction technologies, the
reconstructed 3D model data grows rapidly, which inspires the development of many novel
interactive AVE visualization systems. This thesis presents a visualization system which
is based on an AVE visualization framework on the web platform, for video fusion with
large-scale reconstructed 3D models. Video stream information can be combined in 3D
models through projection to be visualized in real-time, so that the combined effective
information of video and 3D model can be perceived by the viewers from arbitrary views.
The result...[
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As part of Mixed Reality, Augmented Virtual Environment (AVE) fuses dynamic imagery
with 3D models in a real-time display to augment the virtual environment. With the
recent advances in geographical data collection and 3D reconstruction technologies, the
reconstructed 3D model data grows rapidly, which inspires the development of many novel
interactive AVE visualization systems. This thesis presents a visualization system which
is based on an AVE visualization framework on the web platform, for video fusion with
large-scale reconstructed 3D models. Video stream information can be combined in 3D
models through projection to be visualized in real-time, so that the combined effective
information of video and 3D model can be perceived by the viewers from arbitrary views.
The resulting visualization illustrates the effects of the combination of video and 3D
model information, and it can be useful for public security management, transportation
surveillance, etc.
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