Method

Illumination invariant robust optical flow using neighborhood descriptor [ROF-NND]


Submitted on 20 Aug. 2015 20:23 by
sharib ali (Research Center for Automatic Control of Nancy)

Running time:50 s
Environment:4 cores @ 3.5 Ghz (Matlab + C/C++)

Method Description:
The method is uses neighbourhood descriptors as
the matching cost and modified bilateral filtering
for the regularization scheme and solved using
duality approach in convex optimization.
Parameters:
\lambda = 90, \epsilon = 0.1, \tau = 0.02, \sigma
= 0.02, warps = 3, iter = 30 and step_size = 0.5,
k= 2 (previous submission with k=1, other
parameters same: Out-NOc= 12.43%, 3.3 pixels, 20s)
Latex Bibtex:
@article{Ali2015,
title = "Illumination invariant optical flow using
neighborhood descriptors ",
journal = "Computer Vision and Image Understanding ",
volume = "",
number = "",
pages = " - ",
year = "2015",
note = "",
issn = "1077-3142",
doi = "http://dx.doi.org/10.1016/j.cviu.2015.12.003",
url =
"http://www.sciencedirect.com/science/article/pii/S107731
4215002672",
author = "Sharib Ali and Christian Daul and Ernest Galbrun
and Walter Blondel"
}

Detailed Results

This page provides detailed results for the method(s) selected. For each of the first 20 test images, the number of erroneous pixels at all thresholds is depicted in the table. Underneath, the left input image, the disparity / end-point error map and the estimated (and interpolated) disparity / optical flow map are shown. The error map scales linearly between 0 (black) and >=5 (white) pixels error. Red denotes all occluded pixels, falling outside the image boundaries. The false color map is scaled to the largest ground truth disparity / flow value.

Test Set Average

Error Out-Noc Out-All Avg-Noc Avg-All
2 pixels 13.92 % 24.88 % 2.5 px 6.5 px
3 pixels 10.44 % 21.23 % 2.5 px 6.5 px
4 pixels 8.66 % 18.98 % 2.5 px 6.5 px
5 pixels 7.53 % 17.32 % 2.5 px 6.5 px
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Reflective Regions

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Test Image 0

Error Out-Noc Out-All Avg-Noc Avg-All
2 pixels 18.96 % 30.65 % 2.9 px 6.4 px
3 pixels 16.23 % 27.49 % 2.9 px 6.4 px
4 pixels 14.51 % 25.30 % 2.9 px 6.4 px
5 pixels 13.13 % 23.32 % 2.9 px 6.4 px
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Test Image 1

Error Out-Noc Out-All Avg-Noc Avg-All
2 pixels 7.74 % 19.84 % 1.0 px 2.3 px
3 pixels 5.68 % 16.82 % 1.0 px 2.3 px
4 pixels 4.53 % 14.55 % 1.0 px 2.3 px
5 pixels 3.58 % 12.34 % 1.0 px 2.3 px
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Test Image 2

Error Out-Noc Out-All Avg-Noc Avg-All
2 pixels 11.37 % 25.31 % 1.1 px 3.4 px
3 pixels 7.68 % 21.61 % 1.1 px 3.4 px
4 pixels 5.94 % 19.26 % 1.1 px 3.4 px
5 pixels 4.68 % 17.41 % 1.1 px 3.4 px
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Test Image 3

Error Out-Noc Out-All Avg-Noc Avg-All
2 pixels 12.61 % 26.81 % 1.3 px 4.0 px
3 pixels 8.64 % 22.78 % 1.3 px 4.0 px
4 pixels 6.25 % 19.81 % 1.3 px 4.0 px
5 pixels 4.73 % 17.67 % 1.3 px 4.0 px
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Test Image 4

Error Out-Noc Out-All Avg-Noc Avg-All
2 pixels 6.20 % 12.54 % 0.9 px 1.4 px
3 pixels 3.45 % 8.63 % 0.9 px 1.4 px
4 pixels 2.53 % 6.28 % 0.9 px 1.4 px
5 pixels 2.18 % 5.05 % 0.9 px 1.4 px
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Test Image 5

Error Out-Noc Out-All Avg-Noc Avg-All
2 pixels 11.74 % 25.59 % 1.6 px 6.4 px
3 pixels 8.41 % 22.29 % 1.6 px 6.4 px
4 pixels 6.95 % 20.45 % 1.6 px 6.4 px
5 pixels 6.07 % 19.10 % 1.6 px 6.4 px
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Test Image 6

Error Out-Noc Out-All Avg-Noc Avg-All
2 pixels 9.74 % 21.08 % 1.3 px 3.3 px
3 pixels 7.14 % 17.80 % 1.3 px 3.3 px
4 pixels 5.80 % 15.44 % 1.3 px 3.3 px
5 pixels 5.06 % 13.45 % 1.3 px 3.3 px
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Test Image 7

Error Out-Noc Out-All Avg-Noc Avg-All
2 pixels 15.51 % 29.50 % 2.7 px 8.0 px
3 pixels 11.97 % 25.68 % 2.7 px 8.0 px
4 pixels 10.29 % 23.28 % 2.7 px 8.0 px
5 pixels 8.84 % 21.15 % 2.7 px 8.0 px
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Test Image 8

Error Out-Noc Out-All Avg-Noc Avg-All
2 pixels 14.52 % 29.82 % 3.9 px 13.9 px
3 pixels 11.78 % 27.17 % 3.9 px 13.9 px
4 pixels 10.59 % 25.85 % 3.9 px 13.9 px
5 pixels 9.87 % 24.94 % 3.9 px 13.9 px
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Test Image 9

Error Out-Noc Out-All Avg-Noc Avg-All
2 pixels 23.44 % 35.11 % 2.2 px 5.6 px
3 pixels 17.45 % 29.38 % 2.2 px 5.6 px
4 pixels 13.18 % 24.93 % 2.2 px 5.6 px
5 pixels 9.47 % 20.99 % 2.2 px 5.6 px
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Test Image 10

Error Out-Noc Out-All Avg-Noc Avg-All
2 pixels 11.91 % 27.34 % 1.5 px 8.6 px
3 pixels 8.24 % 24.04 % 1.5 px 8.6 px
4 pixels 6.35 % 22.11 % 1.5 px 8.6 px
5 pixels 5.08 % 20.74 % 1.5 px 8.6 px
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Test Image 11

Error Out-Noc Out-All Avg-Noc Avg-All
2 pixels 11.43 % 24.92 % 1.5 px 4.7 px
3 pixels 7.00 % 20.03 % 1.5 px 4.7 px
4 pixels 4.85 % 17.04 % 1.5 px 4.7 px
5 pixels 3.80 % 14.96 % 1.5 px 4.7 px
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Test Image 12

Error Out-Noc Out-All Avg-Noc Avg-All
2 pixels 15.86 % 29.29 % 2.8 px 6.9 px
3 pixels 11.68 % 25.59 % 2.8 px 6.9 px
4 pixels 9.86 % 23.58 % 2.8 px 6.9 px
5 pixels 8.76 % 21.87 % 2.8 px 6.9 px
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Test Image 13

Error Out-Noc Out-All Avg-Noc Avg-All
2 pixels 15.37 % 25.53 % 1.9 px 4.8 px
3 pixels 12.20 % 22.38 % 1.9 px 4.8 px
4 pixels 10.18 % 20.25 % 1.9 px 4.8 px
5 pixels 8.52 % 18.42 % 1.9 px 4.8 px
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Test Image 14

Error Out-Noc Out-All Avg-Noc Avg-All
2 pixels 28.19 % 40.42 % 6.8 px 14.6 px
3 pixels 24.73 % 37.40 % 6.8 px 14.6 px
4 pixels 22.85 % 35.55 % 6.8 px 14.6 px
5 pixels 21.55 % 34.21 % 6.8 px 14.6 px
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Test Image 15

Error Out-Noc Out-All Avg-Noc Avg-All
2 pixels 22.52 % 35.76 % 2.3 px 8.9 px
3 pixels 15.34 % 29.26 % 2.3 px 8.9 px
4 pixels 11.50 % 25.45 % 2.3 px 8.9 px
5 pixels 9.35 % 23.03 % 2.3 px 8.9 px
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Test Image 16

Error Out-Noc Out-All Avg-Noc Avg-All
2 pixels 9.41 % 18.44 % 0.9 px 2.1 px
3 pixels 4.69 % 13.51 % 0.9 px 2.1 px
4 pixels 2.59 % 10.32 % 0.9 px 2.1 px
5 pixels 1.25 % 8.03 % 0.9 px 2.1 px
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Test Image 17

Error Out-Noc Out-All Avg-Noc Avg-All
2 pixels 11.63 % 25.04 % 1.5 px 6.3 px
3 pixels 8.15 % 21.34 % 1.5 px 6.3 px
4 pixels 6.29 % 19.16 % 1.5 px 6.3 px
5 pixels 4.97 % 17.50 % 1.5 px 6.3 px
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Test Image 18

Error Out-Noc Out-All Avg-Noc Avg-All
2 pixels 7.31 % 16.58 % 0.7 px 1.9 px
3 pixels 4.13 % 13.52 % 0.7 px 1.9 px
4 pixels 2.08 % 11.23 % 0.7 px 1.9 px
5 pixels 1.02 % 9.15 % 0.7 px 1.9 px
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Test Image 19

Error Out-Noc Out-All Avg-Noc Avg-All
2 pixels 5.09 % 15.37 % 0.9 px 2.2 px
3 pixels 3.75 % 12.82 % 0.9 px 2.2 px
4 pixels 3.19 % 10.98 % 0.9 px 2.2 px
5 pixels 2.76 % 9.22 % 0.9 px 2.2 px
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