Image Mosaicing and a Diagrammatic User Interface
for an Office Whiteboard Scanner
Eric Saund
Xerox Palo Alto Research Center
Abstract
This paper presents two computer vision components underlying a
novel camera-based whiteboard scanner now in routine use at our research
center. First, a fully-automatic feature-based mosaicing
algorithm enables high-resolution whiteboard imaging using a video
resolution pan/tilt camera, requiring minimal frame overlap even in
the presence of sparse curvilinear data. Second, real-time activity
detection coupled with grouping-based line drawing analysis enable a
Diagrammatic User Interface whereby commands are issued to the
system by drawing on the whiteboard itself. This application represents
a step toward reducing the barrier between the physical and
electronic workspaces.
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