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Journal of Electronic Imaging • Open Access

Scene analysis for effective visual search in rough three-dimensional-modeling scenes
Author(s): Qi Wang; Xiaopeng Hu

Paper Abstract

Visual search is a fundamental technology in the computer vision community. It is difficult to find an object in complex scenes when there exist similar distracters in the background. We propose a target search method in rough three-dimensional-modeling scenes based on a vision salience theory and camera imaging model. We give the definition of salience of objects (or features) and explain the way that salience measurements of objects are calculated. Also, we present one type of search path that guides to the target through salience objects. Along the search path, when the previous objects are localized, the search region of each subsequent object decreases, which is calculated through imaging model and an optimization method. The experimental results indicate that the proposed method is capable of resolving the ambiguities resulting from distracters containing similar visual features with the target, leading to an improvement of search speed by over 50%.

Paper Details

Date Published: 20 December 2016
PDF: 9 pages
J. Electron. Imag. 25(6) 061622 doi: 10.1117/1.JEI.25.6.061622
Published in: Journal of Electronic Imaging Volume 25, Issue 6
Show Author Affiliations
Qi Wang, Dalian Univ. of Technology (China)
Xiaopeng Hu, Dalian Univ. of Technology (China)


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