Method

Flow Fields [FlowFields]
https://www.dfki.de/web/forschung/publikationen/renameFileForDownload?filename=FlowFieldsLibrary1.0.1.zip&file_id=uploads_2765

Submitted on 14 Apr. 2015 13:31 by
Christian Bailer (DFKI)

Running time:23 s
Environment:4 cores @ 3.5 Ghz (C/C++)

Method Description:
A novel dense correspondence field approach for optical flow initialization.
The main novelty of our approach is the correspondence search strategy which differers from the common (approximate) nearest neighbor field strategy. Still, we do not need explicit regularization or techniques like median filtering.
The final flow based on our initialization is determined with EpicFlow.
Parameters:
k = 3, R = 1, r= 3, r_2 = 2, S = 12, S_2 = 18, ɛ​ = 1, e = 9, s = 150, key point size for OpenCV SIFT features: 0.5
Latex Bibtex:
@inproceedings{bailer2015iccvflowfields,
title = {Flow Fields: Dense Correspondence Fields for Highly Accurate Large Displacement Optical Flow Estimation},
author={Bailer, Christian and Taetz, Bertram and Stricker, Didier},
booktitle = {International Conference on Computer Vision (ICCV)},
publisher = {IEEE},
year = {2015}
}

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 8.13 % 17.63 % 1.4 px 3.5 px
3 pixels 5.77 % 14.01 % 1.4 px 3.5 px
4 pixels 4.65 % 11.79 % 1.4 px 3.5 px
5 pixels 3.95 % 10.21 % 1.4 px 3.5 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 8.73 % 18.45 % 1.1 px 1.9 px
3 pixels 6.32 % 14.04 % 1.1 px 1.9 px
4 pixels 4.80 % 11.10 % 1.1 px 1.9 px
5 pixels 4.06 % 9.01 % 1.1 px 1.9 px
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Test Image 1

Error Out-Noc Out-All Avg-Noc Avg-All
2 pixels 5.53 % 15.46 % 0.7 px 1.4 px
3 pixels 3.55 % 12.00 % 0.7 px 1.4 px
4 pixels 2.44 % 9.25 % 0.7 px 1.4 px
5 pixels 1.81 % 7.10 % 0.7 px 1.4 px
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Test Image 2

Error Out-Noc Out-All Avg-Noc Avg-All
2 pixels 6.75 % 19.56 % 0.8 px 1.8 px
3 pixels 4.36 % 15.48 % 0.8 px 1.8 px
4 pixels 3.19 % 12.82 % 0.8 px 1.8 px
5 pixels 2.57 % 10.72 % 0.8 px 1.8 px
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Test Image 3

Error Out-Noc Out-All Avg-Noc Avg-All
2 pixels 6.43 % 18.77 % 0.7 px 1.6 px
3 pixels 3.16 % 13.15 % 0.7 px 1.6 px
4 pixels 1.98 % 10.50 % 0.7 px 1.6 px
5 pixels 1.41 % 8.72 % 0.7 px 1.6 px
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Test Image 4

Error Out-Noc Out-All Avg-Noc Avg-All
2 pixels 2.74 % 7.35 % 0.5 px 0.6 px
3 pixels 1.05 % 3.97 % 0.5 px 0.6 px
4 pixels 0.41 % 1.60 % 0.5 px 0.6 px
5 pixels 0.30 % 0.78 % 0.5 px 0.6 px
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Test Image 5

Error Out-Noc Out-All Avg-Noc Avg-All
2 pixels 16.99 % 27.32 % 3.7 px 8.8 px
3 pixels 14.68 % 24.23 % 3.7 px 8.8 px
4 pixels 13.44 % 22.19 % 3.7 px 8.8 px
5 pixels 12.63 % 20.64 % 3.7 px 8.8 px
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Test Image 6

Error Out-Noc Out-All Avg-Noc Avg-All
2 pixels 7.13 % 13.43 % 0.8 px 1.5 px
3 pixels 4.41 % 9.48 % 0.8 px 1.5 px
4 pixels 3.40 % 6.98 % 0.8 px 1.5 px
5 pixels 3.04 % 5.82 % 0.8 px 1.5 px
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Test Image 7

Error Out-Noc Out-All Avg-Noc Avg-All
2 pixels 11.17 % 24.24 % 2.9 px 7.5 px
3 pixels 8.95 % 20.62 % 2.9 px 7.5 px
4 pixels 7.60 % 17.90 % 2.9 px 7.5 px
5 pixels 6.61 % 15.77 % 2.9 px 7.5 px
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Test Image 8

Error Out-Noc Out-All Avg-Noc Avg-All
2 pixels 9.50 % 23.56 % 3.0 px 8.9 px
3 pixels 7.53 % 20.33 % 3.0 px 8.9 px
4 pixels 6.57 % 18.47 % 3.0 px 8.9 px
5 pixels 5.93 % 16.84 % 3.0 px 8.9 px
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Test Image 9

Error Out-Noc Out-All Avg-Noc Avg-All
2 pixels 12.93 % 23.40 % 1.4 px 3.3 px
3 pixels 9.01 % 18.53 % 1.4 px 3.3 px
4 pixels 6.72 % 15.11 % 1.4 px 3.3 px
5 pixels 5.23 % 12.35 % 1.4 px 3.3 px
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Test Image 10

Error Out-Noc Out-All Avg-Noc Avg-All
2 pixels 6.86 % 21.53 % 0.8 px 2.8 px
3 pixels 4.10 % 18.08 % 0.8 px 2.8 px
4 pixels 2.91 % 15.84 % 0.8 px 2.8 px
5 pixels 2.40 % 14.15 % 0.8 px 2.8 px
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Test Image 11

Error Out-Noc Out-All Avg-Noc Avg-All
2 pixels 6.96 % 17.44 % 1.2 px 3.3 px
3 pixels 4.38 % 13.23 % 1.2 px 3.3 px
4 pixels 3.34 % 10.68 % 1.2 px 3.3 px
5 pixels 2.83 % 8.88 % 1.2 px 3.3 px
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Test Image 12

Error Out-Noc Out-All Avg-Noc Avg-All
2 pixels 10.03 % 21.80 % 2.8 px 8.7 px
3 pixels 8.06 % 18.75 % 2.8 px 8.7 px
4 pixels 6.99 % 16.53 % 2.8 px 8.7 px
5 pixels 6.21 % 14.58 % 2.8 px 8.7 px
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Test Image 13

Error Out-Noc Out-All Avg-Noc Avg-All
2 pixels 7.31 % 16.94 % 1.4 px 4.9 px
3 pixels 5.64 % 14.25 % 1.4 px 4.9 px
4 pixels 4.81 % 12.25 % 1.4 px 4.9 px
5 pixels 4.28 % 10.70 % 1.4 px 4.9 px
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Test Image 14

Error Out-Noc Out-All Avg-Noc Avg-All
2 pixels 13.34 % 26.24 % 2.0 px 4.7 px
3 pixels 10.68 % 22.75 % 2.0 px 4.7 px
4 pixels 9.04 % 20.15 % 2.0 px 4.7 px
5 pixels 8.07 % 18.15 % 2.0 px 4.7 px
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Test Image 15

Error Out-Noc Out-All Avg-Noc Avg-All
2 pixels 11.55 % 24.72 % 1.3 px 5.2 px
3 pixels 8.07 % 20.88 % 1.3 px 5.2 px
4 pixels 6.07 % 18.03 % 1.3 px 5.2 px
5 pixels 4.65 % 15.97 % 1.3 px 5.2 px
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Test Image 16

Error Out-Noc Out-All Avg-Noc Avg-All
2 pixels 2.73 % 10.22 % 0.6 px 1.0 px
3 pixels 1.20 % 6.79 % 0.6 px 1.0 px
4 pixels 0.76 % 5.23 % 0.6 px 1.0 px
5 pixels 0.52 % 4.13 % 0.6 px 1.0 px
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Test Image 17

Error Out-Noc Out-All Avg-Noc Avg-All
2 pixels 8.21 % 20.55 % 1.1 px 3.7 px
3 pixels 5.48 % 16.57 % 1.1 px 3.7 px
4 pixels 4.04 % 13.93 % 1.1 px 3.7 px
5 pixels 2.88 % 11.82 % 1.1 px 3.7 px
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Test Image 18

Error Out-Noc Out-All Avg-Noc Avg-All
2 pixels 0.93 % 7.97 % 0.4 px 0.7 px
3 pixels 0.36 % 4.73 % 0.4 px 0.7 px
4 pixels 0.20 % 2.90 % 0.4 px 0.7 px
5 pixels 0.10 % 1.42 % 0.4 px 0.7 px
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Test Image 19

Error Out-Noc Out-All Avg-Noc Avg-All
2 pixels 1.93 % 9.03 % 0.5 px 1.2 px
3 pixels 1.22 % 5.99 % 0.5 px 1.2 px
4 pixels 0.92 % 4.25 % 0.5 px 1.2 px
5 pixels 0.74 % 2.89 % 0.5 px 1.2 px
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