A Framework for Generic State Estimation in Computer Vision Applications - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Conference Papers Year : 2001

A Framework for Generic State Estimation in Computer Vision Applications

Abstract

Experimenting and building integrated, operational systems in computational vision poses both theoretical and practical challenges, involving methodologies from control theory, statistics, optimization, computer graphics, and interaction. Consequently, a control and communication structure is needed to model typical computer vision applications and a flexible architecture is necessary to combine the above mentioned methodologies in an effective implementation. In this paper, we propose a three-layer computer vision framework that offers: a) an application model able to cover a large class of vision applications; b) an architecture that maps this model to modular, flexible and extensible components by means of object-oriented and dataflow mechanisms; and c) a concrete software implementation of the above that allows construction of interactive vision applications. We illustrate how a variety of vision techniques and approaches can be modeled by the proposed framework and we present several complex, application oriented, experimental results.
Fichier principal
Vignette du fichier
icvs.pdf (612.72 Ko) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

inria-00590158 , version 1 (03-05-2011)

Identifiers

Cite

Cristian Sminchisescu, Alexandru C Telea. A Framework for Generic State Estimation in Computer Vision Applications. 2nd International Workshop ICVS 2001, Jul 2001, Vancouver, Canada. pp.21--34, ⟨10.1007/3-540-48222-9_2⟩. ⟨inria-00590158⟩
151 View
104 Download

Altmetric

Share

Gmail Facebook X LinkedIn More