Method

Fast Optical Flow Estimation without Parallel Architectures [Grts-Flow-V2]


Submitted on 9 Apr. 2016 06:42 by
yuanwei li (nudt)

Running time:0.3 s
Environment:1 core @ 1.5 Ghz (C/C++)

Method Description:
Different from the widely used global model, this
paper proposes a fast local method based on 3D-
gradients and approximate nearest neighbor
field(NNF). In our method, NNF is adopted to provide
initial optical flow field, and the proposed fast
3Dgradients based local-operator is used to
propagate flow from coarse level to next finer level
in the coarse-to-fine refinement.
Parameters:
see the paper
Latex Bibtex:
@ARTICLE{7514761,
author={E. Zhu and Y. Li and Y. Shi},
journal={IEEE Transactions on Circuits and Systems
for Video Technology},
title={Fast Optical Flow Estimation Without Parallel
Architectures},
year={2016},
volume={PP},
number={99},
pages={1-1},
keywords={Adaptive optics;Boolean functions;Computer
vision;Data structures;Estimation;Optical
imaging;Optical sensors;3D-gradient;NNF;Optical
Flow},
doi={10.1109/TCSVT.2016.2592322},
ISSN={1051-8215},
month={},}

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 18.87 % 29.43 % 3.2 px 8.4 px
3 pixels 15.63 % 26.41 % 3.2 px 8.4 px
4 pixels 13.71 % 24.52 % 3.2 px 8.4 px
5 pixels 12.32 % 23.06 % 3.2 px 8.4 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 18.82 % 30.57 % 1.9 px 5.7 px
3 pixels 15.34 % 27.36 % 1.9 px 5.7 px
4 pixels 12.91 % 25.07 % 1.9 px 5.7 px
5 pixels 11.21 % 23.45 % 1.9 px 5.7 px
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Test Image 1

Error Out-Noc Out-All Avg-Noc Avg-All
2 pixels 10.89 % 22.89 % 1.3 px 3.4 px
3 pixels 8.43 % 20.31 % 1.3 px 3.4 px
4 pixels 6.97 % 18.54 % 1.3 px 3.4 px
5 pixels 5.93 % 17.13 % 1.3 px 3.4 px
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Test Image 2

Error Out-Noc Out-All Avg-Noc Avg-All
2 pixels 21.48 % 33.92 % 2.3 px 7.2 px
3 pixels 17.07 % 30.15 % 2.3 px 7.2 px
4 pixels 14.47 % 27.87 % 2.3 px 7.2 px
5 pixels 12.53 % 26.14 % 2.3 px 7.2 px
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Test Image 3

Error Out-Noc Out-All Avg-Noc Avg-All
2 pixels 25.79 % 37.92 % 3.8 px 10.4 px
3 pixels 21.31 % 33.97 % 3.8 px 10.4 px
4 pixels 18.40 % 31.34 % 3.8 px 10.4 px
5 pixels 16.34 % 29.40 % 3.8 px 10.4 px
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Test Image 4

Error Out-Noc Out-All Avg-Noc Avg-All
2 pixels 18.40 % 25.25 % 2.0 px 3.0 px
3 pixels 14.95 % 21.87 % 2.0 px 3.0 px
4 pixels 12.84 % 19.62 % 2.0 px 3.0 px
5 pixels 11.21 % 17.71 % 2.0 px 3.0 px
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Test Image 5

Error Out-Noc Out-All Avg-Noc Avg-All
2 pixels 24.70 % 36.62 % 4.6 px 13.0 px
3 pixels 21.88 % 34.14 % 4.6 px 13.0 px
4 pixels 20.24 % 32.64 % 4.6 px 13.0 px
5 pixels 18.97 % 31.42 % 4.6 px 13.0 px
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Test Image 6

Error Out-Noc Out-All Avg-Noc Avg-All
2 pixels 14.87 % 25.93 % 1.7 px 4.7 px
3 pixels 11.42 % 22.58 % 1.7 px 4.7 px
4 pixels 9.41 % 20.40 % 1.7 px 4.7 px
5 pixels 8.10 % 18.80 % 1.7 px 4.7 px
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Test Image 7

Error Out-Noc Out-All Avg-Noc Avg-All
2 pixels 22.19 % 35.06 % 3.5 px 10.9 px
3 pixels 18.01 % 31.48 % 3.5 px 10.9 px
4 pixels 15.22 % 28.99 % 3.5 px 10.9 px
5 pixels 13.25 % 27.06 % 3.5 px 10.9 px
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Test Image 8

Error Out-Noc Out-All Avg-Noc Avg-All
2 pixels 16.57 % 31.52 % 2.8 px 11.4 px
3 pixels 14.29 % 29.65 % 2.8 px 11.4 px
4 pixels 13.03 % 28.58 % 2.8 px 11.4 px
5 pixels 12.11 % 27.77 % 2.8 px 11.4 px
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Test Image 9

Error Out-Noc Out-All Avg-Noc Avg-All
2 pixels 27.51 % 38.52 % 3.0 px 8.1 px
3 pixels 20.77 % 32.55 % 3.0 px 8.1 px
4 pixels 16.76 % 28.83 % 3.0 px 8.1 px
5 pixels 14.03 % 26.10 % 3.0 px 8.1 px
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Test Image 10

Error Out-Noc Out-All Avg-Noc Avg-All
2 pixels 17.77 % 32.26 % 3.3 px 12.8 px
3 pixels 15.30 % 30.22 % 3.3 px 12.8 px
4 pixels 13.86 % 28.98 % 3.3 px 12.8 px
5 pixels 12.87 % 28.07 % 3.3 px 12.8 px
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Test Image 11

Error Out-Noc Out-All Avg-Noc Avg-All
2 pixels 15.86 % 28.77 % 1.9 px 6.2 px
3 pixels 11.54 % 24.88 % 1.9 px 6.2 px
4 pixels 9.17 % 22.61 % 1.9 px 6.2 px
5 pixels 7.47 % 20.85 % 1.9 px 6.2 px
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Test Image 12

Error Out-Noc Out-All Avg-Noc Avg-All
2 pixels 20.57 % 33.01 % 3.3 px 8.8 px
3 pixels 17.37 % 30.00 % 3.3 px 8.8 px
4 pixels 15.40 % 27.87 % 3.3 px 8.8 px
5 pixels 13.77 % 26.09 % 3.3 px 8.8 px
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Test Image 13

Error Out-Noc Out-All Avg-Noc Avg-All
2 pixels 21.51 % 31.01 % 3.0 px 7.4 px
3 pixels 18.36 % 28.17 % 3.0 px 7.4 px
4 pixels 16.21 % 26.18 % 3.0 px 7.4 px
5 pixels 14.54 % 24.54 % 3.0 px 7.4 px
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Test Image 14

Error Out-Noc Out-All Avg-Noc Avg-All
2 pixels 27.39 % 39.70 % 5.8 px 13.7 px
3 pixels 23.52 % 36.42 % 5.8 px 13.7 px
4 pixels 21.48 % 34.63 % 5.8 px 13.7 px
5 pixels 19.91 % 33.22 % 5.8 px 13.7 px
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Test Image 15

Error Out-Noc Out-All Avg-Noc Avg-All
2 pixels 28.84 % 41.14 % 4.2 px 14.2 px
3 pixels 24.32 % 37.27 % 4.2 px 14.2 px
4 pixels 21.21 % 34.53 % 4.2 px 14.2 px
5 pixels 18.55 % 32.15 % 4.2 px 14.2 px
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Test Image 16

Error Out-Noc Out-All Avg-Noc Avg-All
2 pixels 3.84 % 12.48 % 0.7 px 3.3 px
3 pixels 2.28 % 10.41 % 0.7 px 3.3 px
4 pixels 1.82 % 9.37 % 0.7 px 3.3 px
5 pixels 1.51 % 8.71 % 0.7 px 3.3 px
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Test Image 17

Error Out-Noc Out-All Avg-Noc Avg-All
2 pixels 18.14 % 30.95 % 2.3 px 9.1 px
3 pixels 14.31 % 27.65 % 2.3 px 9.1 px
4 pixels 12.21 % 25.81 % 2.3 px 9.1 px
5 pixels 10.57 % 24.30 % 2.3 px 9.1 px
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Test Image 18

Error Out-Noc Out-All Avg-Noc Avg-All
2 pixels 5.14 % 14.35 % 0.8 px 2.7 px
3 pixels 3.81 % 12.63 % 0.8 px 2.7 px
4 pixels 3.13 % 11.49 % 0.8 px 2.7 px
5 pixels 2.69 % 10.57 % 0.8 px 2.7 px
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Test Image 19

Error Out-Noc Out-All Avg-Noc Avg-All
2 pixels 8.98 % 19.47 % 1.1 px 3.3 px
3 pixels 7.22 % 17.55 % 1.1 px 3.3 px
4 pixels 6.03 % 16.05 % 1.1 px 3.3 px
5 pixels 5.12 % 14.82 % 1.1 px 3.3 px
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