More Sophisticated Algorithms

Learning Flow (by Sun et al.)

[Sun2008Learning]

to be completed

Local Weighting using Charbonnier Functions

flowPapenberg.zip also uses two frames from the Yosemite Sequence. The workflow here uses the same local weighting approach as in [Sun2008Learning]. But instead using a mixture of gaussian model, it uses the charbonnier functions as proposed by [Papenberg2006]. The used energy functional looks as follows:

E= ψBC Ix u+ Iy v+ It + ψU u + ψV v

where

ψk x = x2 + ϵk

After execution, the result is visualized using the ArgosDisplay module. In the two tabs, the flow estimation result and the ground truth are shown.

Get Charon at SourceForge.net.