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Most models of visual saliency operate on two-dimensional images, using elementary image features such as intensity, color, or orientation. The human visual system, however, needs to function in complex three-dimensional environments, where depth information is often available and may be used to guide the bottom-up attentional selection process. In this report we extend a model of proto-object based saliency to include depth information and evaluate its performance on three separatedoi:10.1016/j.visres.2015.12.004 pmid:26739278 pmcid:PMC4749459 fatcat:edangjzxbja5vn53nx4kzt6fqy