Calibration-free View Augmentation for
Calibration-free augmentation of
live video streams ,
without knowing anything about the geometric
content of the scene, using a non-Euclidean mathematical framework
that has been the focus of some recent computer vision research.
The effect is to see graphic renditions of objects,
activities or natural features
in their appropriate location in a live video stream in which
they may be physically obscured or invisible.
A hierarchical approach to non-Euclidean spatial
can break through current augmented reality limitations
on spatial scalability, allowing freedom of cooperating viewpoints from
close ground observation to aerial views.
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Adaptive, predictive, context-based
tracking , that can use whatever geometric and dynamical
target properties are known
to maintain accurate track and thus support
reliable and accurate view registration.
Robust recognition of
natural, human, and mechanical activities, using
spatio-temporal features and fairly standard pattern recognition
techniques. Activity recognition can focus attention,
describe content, and ignore distracting clutter.
This page is maintained by
Mike Van Wie.
Last update: 11/11/96.