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Indexed by:期刊论文

Date of Publication:2016-11-01

Journal:JOURNAL OF ELECTRONIC IMAGING

Included Journals:SCIE、EI、Scopus

Volume:25

Issue:6

ISSN No.:1017-9909

Key Words:scene analysis; imaging model; vision salience; optimization

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%. (C) The Authors.