Co-saliency Detection for RGBD Images Based on Multi-constraint Feature Matching and Cross Label Propagation.
IEEE Transactions on Image Processing(2018)
摘要
Co-saliency detection aims at extracting the common salient regions from an image group containing two or more relevant images. It is a newly emerging topic in computer vision community. Different from the most existing co-saliency methods focusing on RGB images, this paper proposes a novel co-saliency detection model for RGBD images, which utilizes the depth information to enhance identification ...
更多查看译文
关键词
Feature extraction,Computational modeling,Image segmentation,Computer vision,Robustness,Optimization
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要