NDLI: Fast and accurate multi-view reconstruction by multi-stage prioritised matching

Content Provider	IET Digital Library
Author	Ylimäki, Markus Kannala, Juho Holappa, Jukka Brandt, Sami S. Heikkilä, Janne
Abstract	In this study, the authors propose a multi-view stereo reconstruction method which creates a three-dimensional point cloud of a scene from multiple calibrated images captured from different viewpoints. The method is based on a prioritised match expansion technique, which starts from a sparse set of seed points, and iteratively expands them into neighbouring areas by using multiple expansion stages. Each seed point represents a surface patch and has a position and a surface normal vector. The location and surface normal of the seeds are optimised using a homography-based local image alignment. The propagation of seeds is performed in a prioritised order in which the most promising seeds are expanded first and removed from the list of seeds. The first expansion stage proceeds until the list of seeds is empty. In the following expansion stages, the current reconstruction may be further expanded by finding new seeds near the boundaries of the current reconstruction. The prioritised expansion strategy allows efficient generation of accurate point clouds and their experiments show its benefits compared with non-prioritised expansion. In addition, a comparison to the widely used patch-based multi-view stereo software shows that their method is significantly faster and produces more accurate and complete reconstructions.
Starting Page	576
Ending Page	587
Page Count	12
ISSN	17519632
Volume Number	9
e-ISSN	17519640
Issue Number	Issue 4, Aug (2015)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-cvi/9/4
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-cvi.2014.0281
Journal	IET Computer Vision
Publisher Date	2015-03-16
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Computer Vision And Image Processing Technique Homography-based Local Image Alignment Image Calibration Image Matching Image Recognition Image Reconstruction Image Representation Interpolation And Function Approximation Iterative Method Multistage Prioritised Matching Multiview Stereo Reconstruction Method Numerical Analysis Prioritised Match Expansion Technique Seed Point Representation Stereo Image Processing Surface Normal Vector Surface Patch Three-dimensional Point Cloud
Content Type	Text
Resource Type	Article
Subject	Computer Vision and Pattern Recognition Software

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