OBJECT PARAMETER ESTIMATION: A SYNERGY OF CV AND VR

Z. Houkes, F. van der Heijden, P. P. L. Regtien

Abstract

A model-based approach, used to estimate object parameters from greylevel images, is described. Position and orientation of a cube are estimated from mono- and stereo-images. The Digital Elevation Map (DEM) of a wedge is computed from an animated sequence of 2 successive images acquired by a moving camera.

Keywords

computer vision, model-based, parameter estimation, virtual reality

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IMEKO-WC-2000-TC17-P448.pdf

DOI

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IMEKO TC

TC17 - Measurement in Robotics

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