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ICIP
2009
IEEE

Optical flow and depth from motion for omnidirectional images using a TV-L1 variational framework on graphs

13 years 7 months ago
Optical flow and depth from motion for omnidirectional images using a TV-L1 variational framework on graphs
This paper deals with the problem of efficiently computing the optical flow of image sequences acquired by omnidirectional (nearly full field of view) cameras. We formulate the problem in the natural spherical geometry associated with these devices and extend a recent TV-L1 variational formulation for computing the optical flow [1]. The discretization of differential operators occurring in this formulation turns out to be an extremely sensitive point, in particular for the TV part of our algorithm. We show that these difficulties can be very efficiently overcome using a graph-based formulation of TV denoising, which we solve by introducing a graph version of Chambolle's algorithm [2]. A slight modification of the original framework allows us to solve the depth from motion problem using the same techniques. In both cases, our graphbased algorithms provide computationally efficient solutions and significantly outperform naive implementations based on direct discretization of the op...
Luigi Bagnato, Pascal Frossard, Pierre Vandergheyn
Added 19 Feb 2011
Updated 19 Feb 2011
Type Journal
Year 2009
Where ICIP
Authors Luigi Bagnato, Pascal Frossard, Pierre Vandergheynst
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