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基于RGB-D室内环境的对象检测

Object Detection in RGB-D Indoor Scenes
加工时间:2013-07-23 信息来源:EECS 索取原文[17 页]
关键词:Kinect;相机;目标检测;计算机视觉;数据集
摘 要:With the arrival of the Microsoft Kinect, obtaining depth maps of interior spaces has become remarkably easy. The Kinect is equipped with an 8-bit RGB VGA resolution (640x480 pixel) video camera, and also features an IR-triangulation based depth sensor with reports of accuracy within q(z) = 2:73z2 + 0:74z 0:58[mm], with z the depth in meters. The Kinect's low cost and portability make it an attractive instrument for robotics and mapping. We have witnessed a boon of large datasets originating from such Kinect-style cameras, and an associated development in algorithms for SLAM-like tasks. While the potential for this data is vast, one immediate application is incorporating the depth data into a more robust object detector.The remainder of this report is organized as follows: Part 2 describes previous work done in the area of object recognition and depth data. Part 3 describes the dataset. Part 4 gives our approach to the problem. Part 5 gives results of our method. Part 6 provides closing remarks.
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