Browse Prior Art Database

Virtual World Calibration using Image Processing Techniques

IP.com Disclosure Number: IPCOM000109481D
Original Publication Date: 1992-Aug-01
Included in the Prior Art Database: 2005-Mar-24
Document File: 1 page(s) / 71K

Publishing Venue

IBM

Related People

Jalili, R: AUTHOR

Abstract

Disclosed is a method for scaling a virtual environment based on the dimensions of the user or some other object. Image processing techniques for edge-detection provide data on the dimensions of a reference object. The reference dimensions are then used to scale sensor data, simulation coordinates, graphical coordinates, and robot movements.

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Virtual World Calibration using Image Processing Techniques

      Disclosed is a method for scaling a virtual environment based
on the dimensions of the user or some other object.  Image processing
techniques for edge-detection provide data on the dimensions of a
reference object.  The reference dimensions are then used to scale
sensor data, simulation coordinates, graphical coordinates, and robot
movements.

      A virtual world environment can be scaled to match the user's
dimensions in order to be realistic.  For example, an airplane's
cockpit can appear more cramped to a very tall pilot.  A virtual
world is constructed to simulate an environment.  The environment can
be some interior space like the inside of an aircraft or an apartment
or some exterior space like a garden.  In such applications, a user
may want to 'walk' through the space.  The absolute physical
dimensions of objects in a virtual world are perceived by an operator
through cues, either visual, auditory, or tactile.

      The reference subject (e.g., a person) for scaling of the
world, is placed in front of two background screens which form a
corner.  Two cameras, one from the front and one from the side, take
images of the subject. Alternatively, a single background and camera
can be used and the subject can be rotated.  The resulting images are
processed and the dimensions of the subject are extracted with
edge-detection techniques.  More in-depth image processing and
analysis ca...