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论文类型：期刊论文

发表时间：2016-11-01

发表刊物：JOURNAL OF ELECTRONIC IMAGING

收录刊物：SCIE、EI、Scopus

卷号：25

期号：6

ISSN号：1017-9909

关键字：scene analysis; imaging model; vision salience; optimization

摘要：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.