A new article is available in IPOL: http://www.ipol.im/pub/art/2015/44/
Jorge Jara-Wilde, Mauricio Cerda, José Delpiano, and Steffen Härtel, An
Implementation of Combined Local-Global Optical Flow, Image Processing
On Line, 5 (2015), pp. 139–158. http://dx.doi.org/10.5201/ipol.2015.44
Abstract
Optical Flow (OF) approaches for motion estimation calculate vector
fields for the apparent velocities of objects in image sequences. In
1981 Horn and Schunck (HS) introduced two basic assumptions: 'brightness
value constancy' and 'smooth variation' to estimate a smooth OF field
over the entire image -global approach-. In parallel, Lucas and Kanade
(LK) assumed constant motion patterns for image patches, estimating
piecewise-homogeneous OF fields -local approach-. Several variations of
these approaches exist today. Here we present the combined local-global
(CLG) approach by Bruhn et al. which encompasses properties of HS-OF and
LK-OF, aiming to improve the OF accuracy for small-scale variations,
while delivering the HS-OF dense and smooth fields. A multiscale
implementation is provided for 2D images, together with two numerical
solvers: Successive Over-Relaxation and the faster Pointwise-Coupled
Gauss-Seidel by Bruhn et al.. The algorithm works on gray-scale (single
channel) images, with color images being converted prior to the OF
computation.
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announces [email protected] - http://tools.ipol.im/mm/announce/
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