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Acuity's
video based 3D imaging technology uses projective geometry
to obatain shape information from multiple still images
or from video frames. By moving around in a scene or
circling an object with a video camera, one can collect
all the information necessary to reconstruct the scene
or object. Our passive systems combine cameras and motion
sensors to accurately reconstruct features and objects.
The bottleneck in the availability of ubiquitous 3D
presentation and interaction materials is the acquisition
of accurate 3D models from real world spaces. If such
models can be rapidly and automatically created with
video sequences from a freely moving video camera, this
bottleneck can be removed. In recent years a unified
approach has emerged for creating three dimensional
models of world objects and spaces from multiple two
dimensional views, such as those obtained from a video
camera. This has opened the door to capture and re-creation
of real world environments. Computer displays and processing
power have reached the point where realistic 3D presentation
with smooth motion is available to most home and business
users. Increased use of broadband internet connections
in the home is enabling transmission and viewing of
detailed interactive graphic material.
Our hardware and algorithms provide tools for the automation
of world space capture through video sequences. Additional
information about the camera’s position and orientation
is provided by inertial sensors and magnetometers collocated
with the camera. With this information the task of identifying
matching points in images from multiple viewpoints is
moved from 2D image space into 3D world space. Point
locations and camera parameters are estimated simultaneously
in real time.
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