RGBD Salient Object Detection: A Benchmark and Algorithms

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	RGBD Salient Object Detection: A Benchmark and Algorithms
	Peng, Houwen1 ; Li, Bing1 ; Xiong, Weihua 1; Hu, Weiming1 ; Ji, Rongrong 2; Li Bing
	2014
会议名称	COMPUTER VISION - ECCV 2014, PT III
会议录名称	European Conference on Compter Vision (ECCV)
页码	92-109
会议日期	2014
会议地点	美国
摘要	Although depth information plays an important role in the human vision system, it is not yet well-explored in existing visual saliency computational models. In this work, we first introduce a large scale RGBD image dataset to address the problem of data deficiency in current research of RGBD salient object detection. To make sure that most existing RGB saliency models can still be adequate in RGBD scenarios, we continue to provide a simple fusion framework that combines existing RGB-produced saliency with new depth-induced saliency, the former one is estimated from existing RGB models while the latter one is based on the proposed multi-contextual contrast model. Moreover, a specialized multi-stage RGBD model is also proposed which takes account of both depth and appearance cues derived from low-level feature contrast, mid-level region grouping and high-level priors enhancement. Extensive experiments show the effectiveness and superiority of our model which can accurately locate the salient objects from RGBD images, and also assign consistent saliency values for the target objects.
关键词	Salient Object Detection
收录类别	CPCI-T
文献类型	会议论文
条目标识符	http://ir.ia.ac.cn/handle/173211/4543
专题	多模态人工智能系统全国重点实验室_视频内容安全
通讯作者	Li Bing
作者单位	1.中国科学院自动化研究所 2.厦门大学
第一作者单位	中国科学院自动化研究所
推荐引用方式 GB/T 7714	Peng, Houwen,Li, Bing,Xiong, Weihua,et al. RGBD Salient Object Detection: A Benchmark and Algorithms[C],2014:92-109.

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