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Journal of Electronic Imaging

Fast method of constructing image correlations to build a free network based on image multivocabulary trees
Author(s): Zongqian Zhan; Xin Wang; Minglu Wei
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Paper Abstract

In image-based three-dimensional (3-D) reconstruction, one topic of growing importance is how to quickly obtain a 3-D model from a large number of images. The retrieval of the correct and relevant images for the model poses a considerable technological challenge. The “image vocabulary tree” has been proposed as a method to search for similar images. However, a significant drawback of this approach is identified in its low time efficiency and barely satisfactory classification result. The method proposed is inspired by, and improves upon, some recent methods. Specifically, vocabulary quality is considered and multivocabulary trees are designed to improve the classification result. A marked improvement was, indeed, observed in our evaluation of the proposed method. To improve time efficiency, graphics processing unit (GPU) computer unified device architecture parallel computation is applied in the multivocabulary trees. The results of the experiments showed that the GPU was three to four times more efficient than the enumeration matching and CPU methods when the number of images is large. This paper presents a reliable reference method for the rapid construction of a free network to be used for the computing of 3-D information.

Paper Details

Date Published: 24 June 2015
PDF: 12 pages
J. Electron. Imaging. 24(3) 033029 doi: 10.1117/1.JEI.24.3.033029
Published in: Journal of Electronic Imaging Volume 24, Issue 3
Show Author Affiliations
Zongqian Zhan, Wuhan Univ. (China)
Xin Wang, Wuhan Univ. (China)
Minglu Wei, Wuhan University (China)

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