Depth Estimation of Single Infrared Image Based on Interframe Information Extraction

Tingting Gu; Haitao Zhao; Shaoyuan Sun

doi:10.3788/LOP55.061010

Laser & Optoelectronics Progress, Volume. 55, Issue 6, 061010(2018)

Depth Estimation of Single Infrared Image Based on Interframe Information Extraction

Tingting Gu^1、1;, Haitao Zhao^1、1;, and Shaoyuan Sun^2、2;

¹ School of Information Science and Engineering, East China University of Science and Technology, Shanghai 200237, China

² School of Information Science and Technology, Donghua University, Shanghai 201620, China

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Figures & Tables(13)

Fig. 1. Radar scatter plot

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Fig. 2. Hierarchies of the ground truth. (a) 12 hierarchies; (b) 22 hierarchies; (c) 32 hierarchies; (d) original ground truth

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Fig. 3. Architecture of proposed network

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Fig. 4. Comparison of (a) 2D convolution and (b) 3D convolution

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Fig. 5. Data acquisition equipment

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Fig. 6. Infrared imaging and radar scatter plot at corresponding time. (a) Infrared imaging; (b) radar scatter points

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Fig. 7. Comparison of traditional methods. (a) Scenario1; (b) scenario2; (c) scenario3; (d) scenario4

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Fig. 8. Comparison of proposed method with traditional methods

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Fig. 9. Data joint distribution. (a) Scenario1; (b) scenario2; (c) scenario3; (d) scenario4

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Fig. 10. Comparison of experimental results. (a) Scenario1; (b) scenario2; (c) scenario3; (d) scenario4

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Table 1. Convolutional kernel stride of 2D network residual blocks
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Table 1. Convolutional kernel stride of 2D network residual blocks
Layer Conv1kernel stride Conv2kernel stride
Init 1×1 1×1
Residual block1 init 1×1 1×1
Residual block2 init 2×2 1×1
Residual block2 init 2×2 1×1

Table 2. Architecture of 3D network

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Table 2. Architecture of 3D network

Layer	Channel	Kernel	Stride	Layer	Channel	Kernel	Stride
Conv1	64	1×1×1	1×1×1	Conv4a	512	1×1×1	1×1×1
Pool1	64	1×2×2	1×2×2	Conv4b	512	1×1×1	1×1×1
Conv2	128	1×1×1	1×1×1	Pool4	512	2×2×2	2×2×2
Pool2	128	2×2×2	2×2×2	Conv5a	512	1×1×1	1×1×1
Conv3a	256	1×1×1	1×1×1	Conv5b	512	1×1×1	1×1×1
Conv3b	256	1×1×1	1×1×1	Pool5	512	2×2×2	2×2×2
Pool3	256	2×2×2	2×2×2	Fc	-	-

Table 3. Performance evaluation of comparative experiments

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Table 3. Performance evaluation of comparative experiments

Method	δ<1.25	δ<1.25²	δ<1.25³	REL	log 10	RMSE
Proposed method	0.769	0.899	0.938	0.196	0.081	3.112
method	0.752	0.890	0.925	0.218	0.087	3.201
ResNet-32	0.741	0.875	0.919	0.241	0.087	3.285
FCN-Vgg	0.737	0.879	0.913	0.251	0.080	3.290
method	0.625	0.826	0.892	0.297	0.115	4.098
FCN-AlexNet	0.575	0.806	0.890	0.320	0.121	4.101
MLP	0.175	0.377	0.601	6.698	0.294	9.883
SVM	0.182	0.379	0.622	6.808	0.298	9.615
KNN	0.182	0.656	0.505	5.420	0.385	10.250
DT	0.257	0.508	0.698	6.242	0.276	10.323

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Tingting Gu, Haitao Zhao, Shaoyuan Sun. Depth Estimation of Single Infrared Image Based on Interframe Information Extraction[J]. Laser & Optoelectronics Progress, 2018, 55(6): 061010

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