Method

Edge-preserving PatchMatch [EPPM]
http://www.cs.cityu.edu.hk/~linchabao2/cvpr2014eppm/index.html

Submitted on 29 Oct. 2013 05:22 by
Linchao Bao (City University of Hong Kong)

Running time:0.25 s
Environment:GPU @ 1.0 Ghz (C/C++)

Method Description:
Fast Edge-preserving PatchMatch for Large Displacement Optical Flow, CVPR 2014. We implemented our whole algorithm using CUDA and performed experiments on a NVIDIA Geforce GTX 780 GPU. Our implementation can process a 640 x 480 image (0.3 Megapixel) in 0.2 seconds. The algorithm scales well with the size of the image. For example, it can process a 1024 x 436 image (MPI Sintel data, 0.45 Megapixel) in 0.25 seconds.
Parameters:
r = 17, \sigma_r = 0.1
Latex Bibtex:
@inproceedings{bao2014cvpreppm,
title={Fast Edge-Preserving PatchMatch for Large Displacement Optical Flow},
author={Bao, Linchao and Yang, Qingxiong and Jin, Hailin},
booktitle={IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
year={2014},
organization={IEEE}
}

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 17.49 % 28.07 % 2.5 px 9.2 px
3 pixels 12.75 % 23.55 % 2.5 px 9.2 px
4 pixels 10.22 % 20.85 % 2.5 px 9.2 px
5 pixels 8.58 % 18.87 % 2.5 px 9.2 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 13.16 % 25.45 % 1.4 px 7.1 px
3 pixels 9.42 % 21.48 % 1.4 px 7.1 px
4 pixels 7.04 % 18.50 % 1.4 px 7.1 px
5 pixels 5.51 % 16.05 % 1.4 px 7.1 px
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Test Image 1

Error Out-Noc Out-All Avg-Noc Avg-All
2 pixels 9.04 % 20.99 % 1.1 px 2.5 px
3 pixels 6.05 % 17.58 % 1.1 px 2.5 px
4 pixels 4.61 % 15.38 % 1.1 px 2.5 px
5 pixels 3.64 % 13.39 % 1.1 px 2.5 px
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Test Image 2

Error Out-Noc Out-All Avg-Noc Avg-All
2 pixels 17.78 % 30.58 % 1.5 px 10.7 px
3 pixels 12.59 % 25.77 % 1.5 px 10.7 px
4 pixels 9.38 % 22.37 % 1.5 px 10.7 px
5 pixels 7.48 % 20.07 % 1.5 px 10.7 px
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Test Image 3

Error Out-Noc Out-All Avg-Noc Avg-All
2 pixels 16.24 % 29.78 % 1.8 px 9.5 px
3 pixels 10.81 % 24.61 % 1.8 px 9.5 px
4 pixels 7.87 % 21.40 % 1.8 px 9.5 px
5 pixels 6.13 % 19.03 % 1.8 px 9.5 px
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Test Image 4

Error Out-Noc Out-All Avg-Noc Avg-All
2 pixels 11.00 % 18.02 % 1.2 px 1.9 px
3 pixels 6.71 % 13.25 % 1.2 px 1.9 px
4 pixels 4.75 % 10.29 % 1.2 px 1.9 px
5 pixels 3.56 % 8.14 % 1.2 px 1.9 px
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Test Image 5

Error Out-Noc Out-All Avg-Noc Avg-All
2 pixels 23.23 % 35.39 % 4.9 px 12.7 px
3 pixels 19.78 % 32.20 % 4.9 px 12.7 px
4 pixels 17.93 % 30.33 % 4.9 px 12.7 px
5 pixels 16.75 % 28.89 % 4.9 px 12.7 px
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Test Image 6

Error Out-Noc Out-All Avg-Noc Avg-All
2 pixels 15.20 % 26.21 % 1.3 px 3.1 px
3 pixels 8.29 % 19.50 % 1.3 px 3.1 px
4 pixels 5.40 % 16.00 % 1.3 px 3.1 px
5 pixels 3.76 % 13.53 % 1.3 px 3.1 px
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Test Image 7

Error Out-Noc Out-All Avg-Noc Avg-All
2 pixels 18.85 % 31.69 % 2.9 px 8.6 px
3 pixels 13.27 % 26.39 % 2.9 px 8.6 px
4 pixels 10.00 % 22.89 % 2.9 px 8.6 px
5 pixels 7.82 % 20.22 % 2.9 px 8.6 px
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Test Image 8

Error Out-Noc Out-All Avg-Noc Avg-All
2 pixels 14.87 % 30.09 % 3.7 px 15.0 px
3 pixels 12.20 % 27.73 % 3.7 px 15.0 px
4 pixels 10.66 % 26.24 % 3.7 px 15.0 px
5 pixels 9.61 % 25.09 % 3.7 px 15.0 px
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Test Image 9

Error Out-Noc Out-All Avg-Noc Avg-All
2 pixels 23.20 % 34.28 % 2.7 px 12.8 px
3 pixels 17.57 % 28.90 % 2.7 px 12.8 px
4 pixels 14.45 % 25.28 % 2.7 px 12.8 px
5 pixels 11.94 % 22.19 % 2.7 px 12.8 px
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Test Image 10

Error Out-Noc Out-All Avg-Noc Avg-All
2 pixels 13.32 % 28.40 % 1.5 px 10.0 px
3 pixels 9.45 % 24.82 % 1.5 px 10.0 px
4 pixels 7.30 % 22.70 % 1.5 px 10.0 px
5 pixels 5.96 % 21.08 % 1.5 px 10.0 px
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Test Image 11

Error Out-Noc Out-All Avg-Noc Avg-All
2 pixels 18.62 % 30.78 % 1.9 px 5.3 px
3 pixels 11.57 % 24.23 % 1.9 px 5.3 px
4 pixels 8.13 % 20.43 % 1.9 px 5.3 px
5 pixels 6.31 % 17.71 % 1.9 px 5.3 px
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Test Image 12

Error Out-Noc Out-All Avg-Noc Avg-All
2 pixels 17.77 % 30.72 % 2.9 px 11.0 px
3 pixels 13.91 % 27.26 % 2.9 px 11.0 px
4 pixels 11.67 % 24.95 % 2.9 px 11.0 px
5 pixels 10.02 % 22.95 % 2.9 px 11.0 px
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Test Image 13

Error Out-Noc Out-All Avg-Noc Avg-All
2 pixels 19.82 % 29.33 % 2.2 px 9.2 px
3 pixels 13.44 % 23.42 % 2.2 px 9.2 px
4 pixels 10.68 % 20.60 % 2.2 px 9.2 px
5 pixels 8.75 % 18.45 % 2.2 px 9.2 px
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Test Image 14

Error Out-Noc Out-All Avg-Noc Avg-All
2 pixels 29.44 % 41.46 % 5.4 px 16.3 px
3 pixels 21.11 % 34.43 % 5.4 px 16.3 px
4 pixels 16.66 % 30.55 % 5.4 px 16.3 px
5 pixels 13.99 % 28.14 % 5.4 px 16.3 px
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Test Image 15

Error Out-Noc Out-All Avg-Noc Avg-All
2 pixels 30.40 % 42.52 % 3.1 px 10.3 px
3 pixels 23.02 % 36.28 % 3.1 px 10.3 px
4 pixels 18.57 % 32.32 % 3.1 px 10.3 px
5 pixels 14.77 % 28.92 % 3.1 px 10.3 px
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Test Image 16

Error Out-Noc Out-All Avg-Noc Avg-All
2 pixels 4.28 % 12.47 % 0.6 px 1.8 px
3 pixels 1.50 % 8.81 % 0.6 px 1.8 px
4 pixels 0.83 % 7.25 % 0.6 px 1.8 px
5 pixels 0.50 % 6.16 % 0.6 px 1.8 px
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Test Image 17

Error Out-Noc Out-All Avg-Noc Avg-All
2 pixels 16.71 % 29.51 % 1.7 px 12.9 px
3 pixels 11.91 % 25.05 % 1.7 px 12.9 px
4 pixels 9.50 % 22.54 % 1.7 px 12.9 px
5 pixels 7.69 % 20.40 % 1.7 px 12.9 px
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Test Image 18

Error Out-Noc Out-All Avg-Noc Avg-All
2 pixels 6.43 % 14.90 % 1.2 px 4.7 px
3 pixels 3.97 % 11.62 % 1.2 px 4.7 px
4 pixels 3.00 % 9.89 % 1.2 px 4.7 px
5 pixels 2.41 % 8.76 % 1.2 px 4.7 px
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Test Image 19

Error Out-Noc Out-All Avg-Noc Avg-All
2 pixels 6.58 % 17.40 % 0.9 px 2.7 px
3 pixels 4.48 % 15.03 % 0.9 px 2.7 px
4 pixels 3.23 % 13.12 % 0.9 px 2.7 px
5 pixels 2.45 % 11.45 % 0.9 px 2.7 px
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