Method

Aggregation of local parametric candidates with exemplar-based occlusion handling for optical flow [AggregFlow]


Submitted on 14 Dec. 2014 12:57 by
Denis Fortun (EPFL)

Running time:35 min
Environment:1 core @ 2.5 Ghz (C/C++)

Method Description:
Discrete aggregation of motion candidates obtained with patch-based affine estimation. Occlusion map is estimated jointly with motion and occlusion filling is performed by an exemplar-based approach.
Parameters:
\lambda_1 = 2
\lambda_2 = 10
\lambda_3 = 500
\lambda_4 = 30
Latex Bibtex:
@article{Fortun16,
author = {Fortun, D and Bouthemy, P. and Kervrann, C.},
title = {Aggregation of local parametric candidates with exemplar-based occlusion
handling for optical flow},
journal = {Computer Vision and Image Understanding},
year = {2016}
}

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 14.59 % 24.62 % 3.1 px 7.4 px
3 pixels 12.23 % 21.79 % 3.1 px 7.4 px
4 pixels 10.90 % 19.97 % 3.1 px 7.4 px
5 pixels 9.95 % 18.58 % 3.1 px 7.4 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 11.80 % 23.38 % 1.5 px 4.4 px
3 pixels 9.51 % 20.27 % 1.5 px 4.4 px
4 pixels 8.05 % 18.05 % 1.5 px 4.4 px
5 pixels 6.99 % 16.18 % 1.5 px 4.4 px
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Test Image 1

Error Out-Noc Out-All Avg-Noc Avg-All
2 pixels 6.16 % 17.30 % 0.8 px 2.0 px
3 pixels 4.39 % 14.24 % 0.8 px 2.0 px
4 pixels 3.39 % 11.79 % 0.8 px 2.0 px
5 pixels 2.77 % 9.85 % 0.8 px 2.0 px
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Test Image 2

Error Out-Noc Out-All Avg-Noc Avg-All
2 pixels 13.38 % 26.27 % 1.2 px 3.7 px
3 pixels 10.70 % 22.99 % 1.2 px 3.7 px
4 pixels 8.97 % 20.66 % 1.2 px 3.7 px
5 pixels 7.47 % 18.53 % 1.2 px 3.7 px
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Test Image 3

Error Out-Noc Out-All Avg-Noc Avg-All
2 pixels 11.49 % 25.21 % 1.3 px 3.8 px
3 pixels 8.89 % 22.01 % 1.3 px 3.8 px
4 pixels 6.64 % 19.05 % 1.3 px 3.8 px
5 pixels 4.88 % 16.29 % 1.3 px 3.8 px
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Test Image 4

Error Out-Noc Out-All Avg-Noc Avg-All
2 pixels 9.94 % 14.15 % 0.9 px 1.2 px
3 pixels 7.11 % 9.96 % 0.9 px 1.2 px
4 pixels 4.89 % 6.61 % 0.9 px 1.2 px
5 pixels 2.66 % 4.23 % 0.9 px 1.2 px
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Test Image 5

Error Out-Noc Out-All Avg-Noc Avg-All
2 pixels 9.68 % 23.12 % 1.7 px 8.6 px
3 pixels 7.83 % 20.82 % 1.7 px 8.6 px
4 pixels 6.84 % 19.29 % 1.7 px 8.6 px
5 pixels 6.04 % 17.93 % 1.7 px 8.6 px
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Test Image 6

Error Out-Noc Out-All Avg-Noc Avg-All
2 pixels 9.50 % 19.26 % 1.1 px 2.8 px
3 pixels 7.07 % 15.93 % 1.1 px 2.8 px
4 pixels 5.76 % 13.17 % 1.1 px 2.8 px
5 pixels 4.96 % 11.34 % 1.1 px 2.8 px
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Test Image 7

Error Out-Noc Out-All Avg-Noc Avg-All
2 pixels 14.96 % 28.32 % 3.2 px 10.3 px
3 pixels 12.39 % 25.31 % 3.2 px 10.3 px
4 pixels 10.80 % 22.92 % 3.2 px 10.3 px
5 pixels 9.46 % 20.61 % 3.2 px 10.3 px
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Test Image 8

Error Out-Noc Out-All Avg-Noc Avg-All
2 pixels 10.73 % 26.17 % 2.9 px 10.3 px
3 pixels 9.24 % 24.35 % 2.9 px 10.3 px
4 pixels 8.47 % 23.22 % 2.9 px 10.3 px
5 pixels 7.84 % 22.09 % 2.9 px 10.3 px
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Test Image 9

Error Out-Noc Out-All Avg-Noc Avg-All
2 pixels 18.70 % 30.22 % 2.6 px 7.0 px
3 pixels 14.11 % 25.16 % 2.6 px 7.0 px
4 pixels 11.27 % 21.81 % 2.6 px 7.0 px
5 pixels 9.65 % 19.23 % 2.6 px 7.0 px
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Test Image 10

Error Out-Noc Out-All Avg-Noc Avg-All
2 pixels 13.73 % 28.48 % 3.4 px 13.8 px
3 pixels 11.93 % 26.44 % 3.4 px 13.8 px
4 pixels 10.61 % 24.88 % 3.4 px 13.8 px
5 pixels 9.50 % 23.43 % 3.4 px 13.8 px
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Test Image 11

Error Out-Noc Out-All Avg-Noc Avg-All
2 pixels 9.76 % 22.81 % 1.4 px 4.6 px
3 pixels 6.58 % 18.93 % 1.4 px 4.6 px
4 pixels 4.72 % 16.30 % 1.4 px 4.6 px
5 pixels 3.66 % 14.09 % 1.4 px 4.6 px
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Test Image 12

Error Out-Noc Out-All Avg-Noc Avg-All
2 pixels 12.99 % 25.81 % 2.3 px 6.6 px
3 pixels 11.01 % 23.24 % 2.3 px 6.6 px
4 pixels 9.67 % 21.10 % 2.3 px 6.6 px
5 pixels 8.73 % 19.27 % 2.3 px 6.6 px
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Test Image 13

Error Out-Noc Out-All Avg-Noc Avg-All
2 pixels 15.02 % 24.69 % 3.0 px 10.0 px
3 pixels 13.11 % 22.35 % 3.0 px 10.0 px
4 pixels 11.89 % 20.64 % 3.0 px 10.0 px
5 pixels 10.85 % 19.19 % 3.0 px 10.0 px
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Test Image 14

Error Out-Noc Out-All Avg-Noc Avg-All
2 pixels 27.04 % 39.34 % 7.2 px 14.3 px
3 pixels 24.44 % 36.88 % 7.2 px 14.3 px
4 pixels 23.15 % 35.43 % 7.2 px 14.3 px
5 pixels 22.27 % 34.35 % 7.2 px 14.3 px
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Test Image 15

Error Out-Noc Out-All Avg-Noc Avg-All
2 pixels 30.94 % 42.98 % 4.1 px 12.2 px
3 pixels 26.68 % 39.34 % 4.1 px 12.2 px
4 pixels 23.72 % 36.57 % 4.1 px 12.2 px
5 pixels 20.88 % 33.87 % 4.1 px 12.2 px
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Test Image 16

Error Out-Noc Out-All Avg-Noc Avg-All
2 pixels 2.09 % 8.59 % 0.5 px 1.8 px
3 pixels 0.95 % 6.98 % 0.5 px 1.8 px
4 pixels 0.63 % 6.38 % 0.5 px 1.8 px
5 pixels 0.45 % 6.06 % 0.5 px 1.8 px
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Test Image 17

Error Out-Noc Out-All Avg-Noc Avg-All
2 pixels 11.51 % 23.96 % 1.4 px 5.9 px
3 pixels 8.93 % 20.67 % 1.4 px 5.9 px
4 pixels 7.39 % 18.55 % 1.4 px 5.9 px
5 pixels 6.10 % 16.73 % 1.4 px 5.9 px
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Test Image 18

Error Out-Noc Out-All Avg-Noc Avg-All
2 pixels 3.65 % 11.60 % 0.9 px 2.7 px
3 pixels 3.25 % 10.32 % 0.9 px 2.7 px
4 pixels 3.00 % 9.42 % 0.9 px 2.7 px
5 pixels 2.78 % 8.72 % 0.9 px 2.7 px
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Test Image 19

Error Out-Noc Out-All Avg-Noc Avg-All
2 pixels 5.79 % 14.61 % 0.9 px 2.0 px
3 pixels 4.47 % 11.64 % 0.9 px 2.0 px
4 pixels 3.74 % 9.51 % 0.9 px 2.0 px
5 pixels 3.15 % 7.57 % 0.9 px 2.0 px
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