Observability and identifiability problems in perspective systems: a new approach to computer vision

Bijoy K. Ghosh; Yaw-Tyng Wu

doi:10.1117/12.57095

1 February 1992 Observability and identifiability problems in perspective systems: a new approach to computer vision

Bijoy K. Ghosh, Yaw-Tyng Wu

Proceedings Volume 1607, Intelligent Robots and Computer Vision X: Algorithms and Techniques; (1992) https://doi.org/10.1117/12.57095
Event: Robotics '91, 1991, Boston, MA, United States

Abstract

Motivated from problems in computer vision, in this paper we introduce a new class of problems in system theory, which we call, perspective problems in system theory. The word perspective is derived from vision problems wherein feature points on an object are assumed to be projected perspectively on a screen during the process of imaging. Consequently, the basic problem of perspective system theory that we consider in this paper is to observe the initial condition or to identify the parameters of a dynamical system with the aid of a perspective observation function. Based on this concept, we present a new approach for solving the problem from point and line correspondence.

Citation Download Citation

Bijoy K. Ghosh and Yaw-Tyng Wu "Observability and identifiability problems in perspective systems: a new approach to computer vision", Proc. SPIE 1607, Intelligent Robots and Computer Vision X: Algorithms and Techniques, (1 February 1992); https://doi.org/10.1117/12.57095

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