Adaptive Support Weight Stereo Matching Algorithm Based on Human Visual Characteristics

Xuesong Liu; Jianxin Shen; Yanping Zhang

doi:10.3788/LOP55.031013

Laser & Optoelectronics Progress, Volume. 55, Issue 3, 031013(2018)

Adaptive Support Weight Stereo Matching Algorithm Based on Human Visual Characteristics

Xuesong Liu, Jianxin Shen^*, and Yanping Zhang

College of Mechanical and Electrical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, Jiangsu 210016, China

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Figures & Tables(7)

Fig. 1. (a) Gaussian weight distribution curve; (b) weight distribution curve of original algorithm

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Fig. 2. HSI color model

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Fig. 3. Matching error rate versus (a) σ or (b) λ values

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Fig. 4. Results of parallax calculation. (a) Real parallax; (b) original ASW algorithm; (c) proposed algorithm

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Table 1. Experimental result with only one weight distribution rule improved%
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Table 1. Experimental result with only one weight distribution rule improved%
Condition Venus Cones Teddy Avg
Non All Disc Non All Disc Non All Disc
Gauss only 0.58 0.87 4.12 3.45 9.53 8.21 7.68 12.7 17.1 7.14
HSI only 0.66 1.05 5.26 3.74 9.77 8.18 7.62 12.5 17.3 7.34
ASW 0.71 1.19 6.13 3.97 9.79 8.26 7.88 13.3 18.6 7.76

Table 2. Comparison of matching error rate with proposed algorithm and other algorithms%

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Table 2. Comparison of matching error rate with proposed algorithm and other algorithms%

Algorithm	Venus			Cones			Teddy			Avg
Algorithm	Non	All		Disc	Non	All	Disc	Non	All	Disc
Region TreeDP^[13]	0.22	0.57	1.93	6.31	11.9	11.8	7.42	11.9	16.8	7.65
DoubleBP^[14]	0.31	0.45	1.87	2.90	8.78	7.79	3.53	8.30	9.63	4.84
HEBF^[15]	0.22	0.33	2.41	2.78	9.28	8.10	6.54	11.8	15.2	6.29
Cross-Based^[16]	0.62	0.96	3.20	6.28	12.7	12.9	9.75	15.1	18.2	8.86
ASW	0.71	1.19	6.13	3.97	9.79	8.26	7.88	13.3	18.6	7.76
Proposed	0.54	0.82	3.81	3.37	9.43	8.12	7.49	12.6	16.1	6.92

Table 3. Comparison of matching error rate and operation time with proposed algorithm and other algorithms

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Table 3. Comparison of matching error rate and operation time with proposed algorithm and other algorithms

Algorithm	Venus				Cones				Teddy				Avg /%
Algorithm	Non /%	All /%		Disc /%	Time /s	Non /%	All /%	Disc /%	Time /s	Non /%	All /%	Disc /%	Time /s
CAG	1.58	2.02	9.90	8.59	4.98	10.8	12.3	10.5	10.1	15.7	21.9	9.31	9.92
TP	0.34	0.92	4.55	10.8	3.10	9.31	8.59	14.5	9.83	15.3	20.3	14.9	8.03
FBS	0.40	0.81	3.38	15.6	3.48	9.34	8.81	20.1	7.65	13.3	16.2	21.3	7.04
Proposed	0.54	0.82	3.81	38.2	3.37	9.43	8.12	49.7	7.49	12.6	16.1	51.3	6.92

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Xuesong Liu, Jianxin Shen, Yanping Zhang. Adaptive Support Weight Stereo Matching Algorithm Based on Human Visual Characteristics[J]. Laser & Optoelectronics Progress, 2018, 55(3): 031013

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Paper Information

Category: Image processing

Received: Sep. 13, 2017

Accepted: --

Published Online: Sep. 10, 2018

The Author Email: Shen Jianxin (cadatc@nuaa.edu.cn)

DOI:10.3788/LOP55.031013

Topics

laser devices and laser physics

Lasers and Laser Optics

Laser physics

laser manufacturing

Instrumentation, Measurement and Metrology

Table 1. Experimental result with only one weight distribution rule improved%

Table 1. Experimental result with only one weight distribution rule improved%

Table 2. Comparison of matching error rate with proposed algorithm and other algorithms%

Table 2. Comparison of matching error rate with proposed algorithm and other algorithms%

Table 3. Comparison of matching error rate and operation time with proposed algorithm and other algorithms

Table 3. Comparison of matching error rate and operation time with proposed algorithm and other algorithms