突出
人工智能
计算机科学
计算机视觉
深度知觉
Kadir–Brady显著性检测器
感知
目标检测
模式识别(心理学)
图像(数学)
对象(语法)
显著性图
生物
神经科学
作者
Yupeng Cheng,Huazhu Fu,Xingxing Wei,Jiangjian Xiao,Xiaochun Cao
标识
DOI:10.1145/2632856.2632866
摘要
Human vision system understands the environment from 3D perception. However, most existing saliency detection algorithms detect the salient foreground based on 2D image information. In this paper, we propose a saliency detection method using the additional depth information. In our method, saliency cues are provided to follow the laws of the visually salient stimuli in both color and depth spaces. Simultaneously, the 'center bias' is also extended to 'spatial' bias to represent the nature advantage in 3D image. In addition, We build a dataset to test our method and the experiments demonstrate that the depth information is useful for extracting the salient object from the complex scenes.
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