Combining Semantic and Geometric Features for Object Class Segmentation of Indoor Scenes
IEEE Robotics and Automation Letters(2017)
摘要
Scene understanding is a necessary prerequisite for robots acting autonomously in complex environments. Low-cost RGB-D cameras such as Microsoft Kinect enabled new methods for analyzing indoor scenes and are now ubiquitously used in indoor robotics. We investigate strategies for efficient pixelwise object class labeling of indoor scenes that combine both pretrained semantic features transferred fr...
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关键词
Semantics,Feature extraction,Color,Labeling,Image segmentation,Training,Cameras
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