Object recognition using appearance models accumulated into environment
Object recognition using appearance models accumulated into environment
复制标题
使用累积到环境中的外观模型进行对象识别
DOI：
10.1109/icpr.2000.903049
复制
发表时间：
2000
期刊：
影响因子：
--
通讯作者：
Kenji Inoue
中科院分区：
文献类型：
--
作者：
Y. Mae;T. Umetani;T. Arai;Kenji Inoue
提出了一种使用累积到贴在环境中的RFID(射频识别)标签中的外观模型来识别物体的方法。机器人使用在对象上的标签中累积的外观模型来识别对象。如果机器人识别失败，它会获取对象的模型，并将其累积到标签中。由于环境中的机器人在不同的时间从不同的角度观察对象，随着时间的推移积累了各种外观模型。为了积累更多的模型，采用了特征空间分析方法。每次机器人获取模型时，都会重构特征空间。目标识别的实验结果表明了该方法的有效性。
Proposes a method of object recognition using appearance models accumulated into a RFID (radio frequency identification) tag attached to the environment. Robots recognize the object using appearance models accumulated in the tag on the object. If the robot fails in recognition, it acquires a model of the object and accumulates it to the tag. Since robots in the environment observe the object from different points of view at different time, various appearance models are accumulated as time passes. In order to accumulate many models, eigenspace analysis is applied. The eigenspace is reconstructed every time robots acquire the model. Experimental result of object recognition shows effectiveness of the proposed method.