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Saliency Detection Integrated with Depth Information

机译:随着深度信息集成的显着性检测

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摘要

Most bottom-up saliency detection methods only perform outstandingly on simple image but when operating on complex one, results are not satisfactory. In a complex scene image, more image features demand being taking into consideration, the most important one of which is the spatial relation of different objects. Aiming at this problem, a new image saliency detection method is proposed based on frequency-tuned (FT) salient region detection. In our method, depth map of the image are constructed and then depth information of every object are added to the calculation of saliency to improve FT. Experimental results illustrate that our proposed method outperforms the original one and thus the salient regions are more evident in the ultimate saliency map.
机译:大多数自下而上的显着性检测方法仅在简单的图像上突出,但在复杂的图像上运行时,结果并不令人满意。在复杂的场景图像中,更多的图像特征需要考虑,其中最重要的是,其中最重要的是不同对象的空间关系。针对这个问题,基于频率调谐(FT)突出区域检测提出了一种新的图像显着性检测方法。在我们的方法中,构造图像的深度映射,然后将每个对象的深度信息添加到显着性的计算中以改善ft。实验结果表明,我们所提出的方法优于原始的方法,因此在最终显着图中突出区域更明显。

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