MASSIVE MARCHING: A PARALLEL COMPUTATION OF DISTANCE FUNCTION
Dejnozkova Dokládova, Eva ; Dokládal, Petr ; Klein, Jean-Claude
HAL, hal-01510914 / Harvested from HAL
Text on HAL
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.
Publié le : 2002-11-07
Classification:  [MATH.MATH-AP]Mathematics [math]/Analysis of PDEs [math.AP],  [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing 
@article{hal-01510914,
     author = {Dejnozkova Dokl\'adova, Eva  and Dokl\'adal, Petr and Klein, Jean-Claude},
     title = {MASSIVE MARCHING: A PARALLEL COMPUTATION OF DISTANCE FUNCTION},
     journal = {HAL},
     volume = {2002},
     number = {0},
     year = {2002},
     language = {en},
     url = {http://dml.mathdoc.fr/item/hal-01510914}
}

Dejnozkova Dokládova, Eva ; Dokládal, Petr; Klein, Jean-Claude. MASSIVE MARCHING: A PARALLEL COMPUTATION OF DISTANCE FUNCTION. HAL, Tome 2002 (2002) no. 0, . http://gdmltest.u-ga.fr/item/hal-01510914/