Efficient Hardware Architectures and Algorithms for Embedded Vision Systems

Eva Dokladalova (1)

1 LIGM - Laboratoire d'Informatique Gaspard-Monge

Abstract : In this talk we develop three main axes i) design of efficient hardware architectures, ii) computational efficient algorithms targeted for embedded vision systems and iii) hardware support for self-aware computing. We will introduce recent advances within the unifying framework of mathematical morphology. We propose a first morphological processor with arbitrarily large neighborhoods. It allows to obtain previously unachieved performances for serially composed morphological filters, geodesical and conditional operators. The cited processor is based on a novel algorithm formulation of morphological dilation. Finally, the applicative domain will be illustrated in scene understanding context for self aware embedded computing.

Mots clés: mathematical morphology; hardware architecture; efficient implementation

Domaines: Architectures Matérielles [cs.AR]; Informatique; Vision par ordinateur et reconnaissance de formes [cs.CV]; Traitement du signal et de l'image [eess.SP]; Algorithme et structure de données [cs.DS]

Eva Dokladalova. Efficient Hardware Architectures and Algorithms for Embedded Vision Systems. 2015. ⟨hal-01263835⟩