Point Set Affine Registration Algorithm Based on Control Point Consistency Constraint

Liyang Wu; Lin Ling; Fangchao Jia; Shaoyi Du; Zhiyong Hu

doi:10.3788/LOP56.091008

Journals >Laser & Optoelectronics Progress >Volume 56 >Issue 9 >Page 091008 > Article

Laser & Optoelectronics Progress
Vol. 56, Issue 9, 091008 (2019)

Point Set Affine Registration Algorithm Based on Control Point Consistency Constraint

Liyang Wu¹, Lin Ling¹, Fangchao Jia¹, Shaoyi Du^2、*, and Zhiyong Hu¹

Author Affiliations

¹ Department of Ground-to-Air Navigation, Air Force Communication NCO Academy, Dalian, Liaoning 116600, China

² Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University, Xi'an, Shaanxi 710049, China

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DOI: 10.3788/LOP56.091008 Cite this Article Set citation alerts

Liyang Wu, Lin Ling, Fangchao Jia, Shaoyi Du, Zhiyong Hu. Point Set Affine Registration Algorithm Based on Control Point Consistency Constraint[J]. Laser & Optoelectronics Progress, 2019, 56(9): 091008 Copy Citation Text

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Fig. 1. Real extraction example of image point set. (a) Data point set; (b) target point set

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Affine registration effect of complex local deformation data. (a) Data point set; (b) target point set; (c) CPD; (d) BAICP; (e) CPGAICP; (f) proposed algorithm

Fig. 2. Affine registration effect of complex local deformation data. (a) Data point set; (b) target point set; (c) CPD; (d) BAICP; (e) CPGAICP; (f) proposed algorithm

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Fig. 3. Partial affine registration effect of retinal image point set. (a) Data point set; (b) target point set; (c) CPD; (d) BAICP; (e) CPGAICP; (f) proposed algorithm

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Point set	CPD			BAICP			CPGAICP			Proposed
Point set	e_A	e_t	Time /s	e_A	e_t	Time /s	e_A	e_t	Time /s	e_A	e_t	Time /s
Bat	0.1034	26.447	3.2571	0.0965	26.402	0.8140	0.1083	29.912	0.0850	0.0084	0.5772	0.0703
Ray	0.1013	12.970	4.1270	0.1015	13.354	0.6799	0.0631	5.4720	0.0861	0.0098	1.6609	0.0769
Deer	4.3690	248.70	12.112	0.2832	55.005	1.9130	0.0422	5.8255	0.1587	0.0063	1.7660	0.1075

Table 1. Affine registration results of complex local deformation data

Parameter	CPD	BAICP	CPGAICP	Proposed
$\begin{matrix} {\bar{E}}_{Affine} \end{matrix}$	111.05	127.14	133.09	0.94
Time /s	97.28	41.48	11.70	6.74

Table 2. Affine registration results of retinal image point set

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