Supplement for "SimpleFlow: A Non-iterative, Sublinear Optical Flow Algorithm"

Performance

EUROGRAPHICS 2012
Michael Tao, Jiamin Bai, Pushmeet Kohli, Sylvain Paris


Instructions: click desired image to view full-sized image.

HD Timing Performances


(4K: 4096 x 2304)

Pair 1

Frame 1

Frame 2

Our algorithm without sublinear optimization

Our Sublinear Scheme

128 x 72

256 x 144

512 x 288

1024 x 546

3048 x 1152

4096 x 2304

Timings

Our Sublinear Complexity:
~(N^0.779)
Our algorithm without sublinear optimization Complexity:
~(N^1.0007)

(1080P: 1920 x 1080 Resolution)

Pair 1

Frame 1

Frame 2

Our algorithm without sublinear optimization

Our Sublinear Scheme

480x270 optimization

960x540 optimization

1920x1080 optimization

Timings

Our Sublinear Complexity:
~(N^0.53)
Our algorithm without sublinear optimization Complexity:
~(N)

Pair 2

Frame 1

Frame 2

Our algorithm without sublinear optimization

Our Sublinear Scheme

480x270 optimization

960x540 optimization

1920x1080 optimization

Timings

Our Sublinear Complexity:
~(N^0.92)
Our algorithm without sublinear optimization Complexity:
~(N)

Pair 3

Frame 1

Frame 2

Our algorithm without sublinear optimization

Our Sublinear Scheme

480x270 optimization

960x540 optimization

1920x1080 optimization

Timings

Our Sublinear Complexity:
~(N^0.46)
Our algorithm without sublinear optimization Complexity:
~(N)

Pair 4

Frame 1

Frame 2

Our algorithm without sublinear optimization

Our Sublinear Scheme

480x270 optimization

960x540 optimization

1920x1080 optimization

Timings

Our Sublinear Complexity:
~(N^0.48)
Our algorithm without sublinear optimization Complexity:
~(N)

Pair 4

Frame 1

Frame 2

Our algorithm without sublinear optimization

Our Sublinear Scheme

480x270 optimization

960x540 optimization

1920x1080 optimization

Timings

Our Sublinear Complexity:
~(N^0.32)
Our algorithm without sublinear optimization Complexity:
~(N)

Middlebury Flow Quality Performances
Refer to Figure 5 for descriptions of each image.

Dimetrodon

Frame 1



Frame 2



Our algorithm without sublinear optimization

(RMSE: .323)

Our algorithm with sublinear optmization

(RMSE: .322)

Our algorithm followed by Sun et al. 2010

(RMSE: .165)

Sun et al. 2010 only

(RMSE: .166)

ground truth



Grove 2

Frame 1



Frame 2



Our algorithm without sublinear optimization

(RMSE: .580)

Our algorithm with sublinear optmization

(RMSE: .579)

Our algorithm followed by Sun et al. 2010

(RMSE: .316)

Sun et al. 2010 only

(RMSE: .318)

ground truth



Grove 3

Frame 1



Frame 2



Our algorithm without sublinear optimization

(RMSE: 1.458)

Our algorithm with sublinear optmization

(RMSE: 1.460)

Our algorithm followed by Sun et al. 2010

(RMSE: 1.372)

Sun et al. 2010 only

(RMSE: 1.398)

ground truth



Hydrangea

Frame 1



Frame 2



Our algorithm without sublinear optimization

(RMSE: .539)

Our algorithm with sublinear optmization

(RMSE: .539)

Our algorithm followed by Sun et al. 2010

(RMSE: .399)

Sun et al. 2010 only

(RMSE: .398)

ground truth



Urban 2

Frame 1



Frame 2



Our algorithm without sublinear optimization

(RMSE: 1.436)

Our algorithm with sublinear optmization

(RMSE: 1.464)

Our algorithm followed by Sun et al. 2010

(RMSE: .854)

Sun et al. 2010 only

(RMSE: .804)

ground truth



Urban 3

Frame 1



Frame 2



Our algorithm without sublinear optimization

(RMSE: 2.064)

Our algorithm with sublinear optmization

(RMSE: 2.070)

Our algorithm followed by Sun et al. 2010

(RMSE: 1.487)

Sun et al. 2010 only

(RMSE: 1.166)

ground truth



Venus

Frame 1



Frame 2



Our algorithm without sublinear optimization

(RMSE: .568)

Our algorithm with sublinear optmization

(RMSE: .568)

Our algorithm followed by Sun et al. 2010

(RMSE: .429)

Sun et al. 2010 only

(RMSE: .426)

ground truth



Whale

Frame 1



Frame 2



Our algorithm without sublinear optimization

(RMSE: .383)

Our algorithm with sublinear optmization

(RMSE: .382)

Our algorithm followed by Sun et al. 2010

(RMSE: .271)

Sun et al. 2010 only

(RMSE: .272)

ground truth




HD Image credits:
Big Buck Bunny. Dir. Sacha Goedegebure. YouTube. Blender Foundation, 2008.

Middlebury Image credits:
Middlebury Computer Vision Group

NOTE: these images are JPEGs with maximum quality to minimize file size

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