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Proceedings Paper

Dynamic space resection using straight lines
Author(s): Antonio M. G. Tommaselli; Clesio Luis Tozzi
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Paper Abstract

The aim of this work is to present contributions to the solution of the dynamic space resection problem in close range environments using straight lines as control. A mathematical model for the correspondence of a straight line in the object and image spaces is adopted. In order to solve the space resection problem, Kalman filtering is applied. For the dynamic case a state prediction and a covariance matrix for the next instant is obtained using the available estimates and the system model. Filtered state estimates can be computed from these predicted estimates using the Kalman filtering approach and based on the system model parameters with good quality, for each instant of an image sequence. The proposed approach was tested with simulated and real data. Experiments with real data were carried out in a controlled environment, considering a sequence of images of a moving cube in a linear trajectory over a flat surface.

Paper Details

Date Published: 17 August 1994
PDF: 8 pages
Proc. SPIE 2357, ISPRS Commission III Symposium: Spatial Information from Digital Photogrammetry and Computer Vision, (17 August 1994); doi: 10.1117/12.182792
Show Author Affiliations
Antonio M. G. Tommaselli, Univ. Estadual Paulista (Brazil)
Clesio Luis Tozzi, Univ. Estadual de Campinas (Brazil)


Published in SPIE Proceedings Vol. 2357:
ISPRS Commission III Symposium: Spatial Information from Digital Photogrammetry and Computer Vision
Heinrich Ebner; Christian Heipke; Konrad Eder, Editor(s)

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