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Input. Grayscale. Image. CLAHE. Hu and. Haan's Blur. Estimator. Depth. Estimation. Guided. Filter. Matting. Laplacian. 8. Page 9. (a). (b). (c). (d). • CLAHE [17].
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3

(a) Contour Cue

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(b) Surface Cue

• (c) Depth Cue

Examples for positive impact of cue

Examples for negative impact of cue 4





(a)

(b)

(c)

Original

Structured Edge Detection [12]

1D Contour Cue

5



80

77

75

68



(a)

(b)

(c)

Original

CCP with hr=5

CCP with hr=6

2D Surface Cues 6

https://github.com/fuxiang87/MCL_CCP.

• • (a)



Original

(b)

(c)

Sparse defocus map After Guided by Hu and Haan [13] Filter [18]

(d)

3D Depth Cue

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Input Grayscale Image

CLAHE

Hu and Haan s Blur Estimator

Guided Filter

Matting Laplacian

Depth Estimation



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• CLAHE [17] (contrast limited adaptive histogram equalization): preprocessing to improve the local contrast, and bring out more details for dark areas

(a)

(b)

(c)

(d)

Original

Depth Cue w/o CLAHE

CLAHE

Depth Cue w/ CLAHE 9

• Guided Filter [18]: attenuate the depth variance inside the regions to group the object regions in the same depth layer

(a)

Original

(b)

(c)

Depth Cue w/o Depth Cue w/ Guided Filter Guided Filter 10

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• • • Edge Weight ?

Long Contour Between ?

Y Weight = 0

N

Different Depth Layer ?

Y Weight = 0

N

Weight = Chroma Similarity

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75

(a) Original

(b) Ground Truths (c) 1D Contour Cue

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(d) 2D Surface Cue

(e) 3D Depth Cue (f) CDS w/o Depth (g) CDS w/o Contour

(h) CDS

Three elementary cues and visual comparisons of segmentation results of CDS against CDS w/o depth and CDS w/o contour 12

(a) Original

(b) Ground Truths

(c) MLSS

(d) SAS

(e) CCP-LAM

(f) CCP-LAS

(g) CDS

Visual comparisons of segmentation results of CDS against four state-of-the-art methods: MLSS[5], SAS[6], CCP-LAM[9] and CCP-LAS[9].

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(a) Original

(b) Ground Truths

(c) MLSS [14]

(d) SAS [17]

(e) CCP-LAM [10]

(f) CCP-LAS [10]

(g) CDS

Visual comparisons of segmentation results of CDS against four state-of-the-art methods: MLSS[5], SAS[6], CCP-LAM[9] and CCP-LAS[9].

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*Note that we do not have the algorithm CDS w/o surface cue, for the whole CDS algorithm is designed based on the 2D surface cue.

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