MASSIVE MARCHING: A PARALLEL COMPUTATION OF DISTANCE FUNCTION - École des Ponts ParisTech Access content directly
Conference Papers Year : 2002

MASSIVE MARCHING: A PARALLEL COMPUTATION OF DISTANCE FUNCTION

Petr Dokládal
Jean-Claude Klein
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Abstract

The methods based on the evolution of a curve controlled by partial differential equations (PDE), represent an efficient and flexible tool of image segmentation, recognition or object tracking. For these methods, an accurate and rapid computation of the distance function is of a key importance. We propose a new, entirely parallel algorithm yielding the distance function and its hardware implementation.
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Dates and versions

hal-01510914 , version 1 (20-04-2017)

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Eva Dejnozkova Dokládova, Petr Dokládal, Jean-Claude Klein. MASSIVE MARCHING: A PARALLEL COMPUTATION OF DISTANCE FUNCTION. the 9th International Workshop on Systems, Signals and Image Processing (IWSSIP'02), Nov 2002, Manchester, United Kingdom. pp.71-76, ⟨10.1142/9789812776266_0009⟩. ⟨hal-01510914⟩
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