Technical Reports (CIS)

Document Type

Technical Report

Date of this Version

April 1990

Comments

University of Pennsylvania Department of Computer and Information Science Technical Report No. MS-CIS-90-22.

Abstract

In estimating the 3-D rigid body motion and structure from time-varying images, most of previous approaches which exploit a large number of frames assume that the rotation, and the translation in some case, are constant. For a long sequence of images, this assumption in general is not valid. In this paper, we propose a new state estimation formulation for the general motion in which the 3-D translation and rotation are modeled as the polynomials of arbitrary order. Extended Kalman filter is used to find the estimates recursively from noisy images. A number of simulations including the Monte Carlo analysis are conducted to illustrate the performance of the proposed formulation.

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Date Posted: 22 August 2007