A new affine invariant method for image matching

2012 ◽  
Author(s):  
Jean-Louis Palomares ◽  
Philippe Montesinos ◽  
Daniel Diep
Keyword(s):  
Image Matching ◽  
Affine Invariant ◽  
Invariant Method

scholarly journals An affine invariant approach for dense wide baseline image matching

2016 ◽  
Vol 12 (12) ◽  
pp. 155014771668082
Author(s):  
Fanhuai Shi ◽  
Jian Gao ◽  
Xixia Huang
Keyword(s):  
Image Matching ◽  
Intelligent Systems ◽  
Region Growing ◽  
Low Rank ◽  
Affine Invariant ◽  
Affine Transformations ◽  
Visual Sensor ◽  
Dense Matching ◽  
Rank Matrix ◽  
Distributed Intelligent Systems

Visual sensor networks have emerged as an important class of sensor-based distributed intelligent systems, where image matching is one of the key technologies. This article presents an affine invariant method to produce dense correspondences between uncalibrated wide baseline images. Under affine transformations, both point location and its neighborhood texture are changed between views, so dense matching becomes a tough task. The proposed approach tends to solve this problem within a sparse-to-dense framework. The contribution of this article is in threefolds. First, a strategy of reliable sparse matching is proposed, which starts from affine invariant features extraction and matching and then these initial matches are utilized as spatial prior to produce more sparse matches. Second, match propagation from sparse feature points to its neighboring pixels is conducted in the way of region growing in an affine invariant framework. Third, the unmatched points are handled by low-rank matrix recovery technique. Comparison experiments of the proposed method versus existing ones show a significant improvement in the presence of large affine deformations.

An Affine Invariant Method of Forward Looking Infra-Red Target Recognition

2015 ◽  
Vol 52 (7) ◽  
pp. 071501
Author(s):  
赵爱罡 Zhao Aigang ◽  
王宏力 Wang Hongli ◽  
杨小冈 Yang Xiaogang ◽  
陆敬辉 Lu Jinghui ◽  
王建永 Wang Jianyong ◽  
...  
Keyword(s):  
Target Recognition ◽  
Affine Invariant ◽  
Invariant Method ◽  
Infra Red ◽  
Forward Looking

scholarly journals A 3D Reconstruction Pipeline of Urban Drainage Pipes Based on MultiviewImage Matching Using Low-Cost Panoramic Video Cameras

Water ◽  
2019 ◽  
Vol 11 (10) ◽  
pp. 2101 ◽  
Author(s):  
Zhang ◽  
Zhao ◽  
Hu ◽  
Wang ◽  
Ai ◽  
...  
Keyword(s):  
3D Reconstruction ◽  
High Precision ◽  
Image Matching ◽  
Low Cost ◽  
Geometric Distortion ◽  
Urban Drainage ◽  
Affine Invariant ◽  
Pipe Inspection ◽  
Video Cameras ◽  
Panoramic Video

Urban drainage pipe networks have complex spatial contributions, andthey are now facing problems such as damage, defects, and aging. A rapid and high-precision pipe inspection strategy is thekey to ensuring thesustainable development of urban water supply and drainage system. In this paper, a three-dimensional (3D) reconstruction pipeline of urban drainage pipes based on multiview image matching using low-cost panoramic video cameras is proposed, which provides an innovative technical approach for pipe inspection. Firstly, we extracted frames from the panoramic video of the pipes andcorrected the geometric distortion using a spherical reprojection to obtain multiview pipe images. Second, the robust feature matching method using support lines and affine-invariant ratios isintroduced to conduct pipe image matching. Finally, the photogrammetric processing, using structure from motion (SfM) and dense reconstruction, wasintroduced to achieve the 3D modeling of drainage pipes. Several typical drainage pipes and shafts of the real scenes were taken for the 3D reconstruction experiments. Theresults show that our strategy can realize high-precision 3D reconstruction of different types of pipes, which can provide effective technical support for rapid and efficient inspection of urban pipes with broad application prospects in the daily management of sustainable urban drainage systems (SUDSs).

A New Approach for Affine-Invariant Image Matching

2013 ◽  
Vol 846-847 ◽  
pp. 1019-1023
Author(s):  
Wen Long Chen ◽  
Bai Hua Xiao ◽  
Chun Heng Wang
Keyword(s):  
Image Matching ◽  
Lower Cost ◽  
New Method ◽  
Affine Invariant ◽  
Computation Complexity ◽  
New Approach ◽  
Expressive Performance ◽  
Comparable Performance ◽  
Matching Procedure ◽  
Affine Invariant Matching

Affine-invariant matching is one of the challenging fields for image matching. Although several algorithms (ASIFT, Fair-SURF) have been proposed and achieved expressive performance, all these method need to simulate perspective changes and exhaust all possible match which is of high computation complexity (O(N2)). In this paper, we proposed a new method to introduce global descriptor to filter out much unnecessary coarse matches for the matching procedure. Specially, the computation complexity of matching procedure in our method reduces significantly to O(N). But, the experiment result shows that the proposed method can achieve comparable performance to ASIFT at much lower cost.

Fully affine invariant SURF for image matching

2012 ◽  
Vol 85 ◽  
pp. 6-10 ◽  
Author(s):  
Yanwei Pang ◽  
Wei Li ◽  
Yuan Yuan ◽  
Jing Pan
Keyword(s):  
Image Matching ◽  
Affine Invariant

Improved fully affine invariant SIFT-based image matching algorithm

2011 ◽  
Vol 19 (10) ◽  
pp. 2472-2477 ◽  
Author(s):  
贺柏根 HE Bai-gen ◽  
朱明 ZHU Ming
Keyword(s):  
Image Matching ◽  
Affine Invariant ◽  
Matching Algorithm
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