Image mosaicing via quadric surface estimation with priors for tunnel inspection

Chaiyasarn, Krisada; Kim, Taekyun; Viola, Fabio; Cipolla, Roberto; Soga, Kenichi

doi:10.1109/icip.2009.5413902

Cited by 14 publications

(13 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Image stitching or image mosaicing is a common method to combine and visualize a collection of images. In the domain of tunnel inspection, Chaiyasarn et al [74] present a system that constructs a mosaic image of the tunnel surface with little distortion. Their system obtains a sparse 3D model of the tunnel by multi-view reconstruction [75].…”

Section: Visualizationmentioning

confidence: 99%

A review on computer vision based defect detection and condition assessment of concrete and asphalt civil infrastructure

Koch

Georgieva

Kasireddy

et al. 2015

Advanced Engineering Informatics

761

336

View full text Add to dashboard Cite

(2015) A review on computer vision based defect detection and condition assessment of concrete and asphalt civil infrastructure. Advanced Engineering Informatics, 29 (2). pp. 196-210. ISSN 1474-0346 Access from the University of Nottingham repository: http://eprints.nottingham.ac.uk/31986/1/Manuscript_KochEtAl_2015_accepted.pdf Copyright and reuse:The Nottingham ePrints service makes this work by researchers of the University of Nottingham available open access under the following conditions. This article is made available under the Creative Commons Attribution Non-commercial No Derivatives licence and may be reused according to the conditions of the licence. For more details see: http://creativecommons.org/licenses/by-nc-nd/2.5/ A note on versions:The version presented here may differ from the published version or from the version of record. If you wish to cite this item you are advised to consult the publisher's version. Please see the repository url above for details on accessing the published version and note that access may require a subscription.For more information, please contact eprints@nottingham.ac.uk 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 Abstract:To ensure the safety and the serviceability of civil infrastructure it is essential to visually inspect and assess its physical and functional condition. This review paper presents the current state of practice of assessing the visual condition of vertical and horizontal civil infrastructure; in particular of reinforced concrete bridges, precast concrete tunnels, underground concrete pipes, and asphalt pavements. Since the rate of creation and deployment of computer vision methods for civil engineering applications has been exponentially increasing, the main part of the paper presents a comprehensive synthesis of the state of the art in computer vision based defect detection and condition assessment related to concrete and asphalt civil infrastructure. Finally, the current achievements and limitations of existing methods as well as open research challenges are outlined to assist both the civil engineering and the computer science research community in setting an agenda for future research. Keywords:Computer Vision, Infrastructure, Condition assessment, Defect detection, Infrastructure monitoring Research Highlights: Visual inspection of civil infrastructure is essential for condition assessment.  We focus on concrete bridges, tunnels, underground pipes, and asphalt pavements.  Accordingly, we review the latest computer vision based defect detection methods.  Using computer vision most relevant types of defects can be automatically detected.  Automatic defect properties retrieval and assessment has not been achieved yet . 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 ...

show abstract

Section: Visualizationmentioning

confidence: 99%

A review on computer vision based defect detection and condition assessment of concrete and asphalt civil infrastructure

Koch

Georgieva

Kasireddy

et al. 2015

Advanced Engineering Informatics

761

336

View full text Add to dashboard Cite

show abstract

“…[24] use the edge pixel as the pre-matching procedure, and then use the character pixel to optimize the total matching of the input pair of images. In [25], the authors use the SVM to estimate the matching and mosaic results, but, the input training images and the evaluation of the parameters is very difficult. For the purpose of improving the traditional method based on characteristic, Gang Xu, etc.…”

Section: Image Mosaickingmentioning

confidence: 99%

A New Inspection Method for Bridge Deformation

Cai¹,

Liu²,

Wang³

et al. 2016

IJSIP

View full text Add to dashboard Cite

show abstract

“…The second group includes the works Refs. [4], [6], which model the deformation as quadratic functions. The third group, which is the most related to the proposed method, includes the works of Refs.…”

Section: Related Workmentioning

confidence: 99%

Real-time Video Mosaicing using Non-rigid Registration

Souza

Okutomi

Torii

2012

IPSJ Transactions on Computer Vision and Applications

View full text Add to dashboard Cite

This paper presents a real-time incremental mosaicing method that generates a large seamless 2D image by stitching video key-frames as soon as they are detected. There are four main contributions: (1) we propose a "fast" key-frame selection procedure based solely on the distribution of the distance of matched feature descriptors. This procedure automatically selects key-frames that are used to expand the mosaics while achieving real-time performance; (2) we register key-frame images by using a non-rigid deformation model based on a triangular mesh in order to "smoothly" stitch images when scene transformations can not be expressed by homography; (3) we add a new constraint on the non-rigid deformation model that penalizes over-deformation in order to create mosaics with natural appearance; (4) we propose a fast image stitching algorithm for real-time mosaic rendering modeled as an instance of the minimum graph cut problem, applied to mesh triangles instead of the image pixels. The performance of the proposed method is validated by experiments in non-controlled conditions and by comparison with a state-of-the-art method.

show abstract

Image mosaicing via quadric surface estimation with priors for tunnel inspection

Cited by 14 publications

References 12 publications

A review on computer vision based defect detection and condition assessment of concrete and asphalt civil infrastructure

A review on computer vision based defect detection and condition assessment of concrete and asphalt civil infrastructure

A New Inspection Method for Bridge Deformation

Real-time Video Mosaicing using Non-rigid Registration

Contact Info

Product

Resources

About