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A method proposal of scene recognition for RGB-D cameras

机译:RGB-D摄像机场景识别的方法建议

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The novel method proposed in this article is a content classification method. Using techniques like Content Based Image Retrieval and Bag Of Words, we classified several scenes captured by a Kinect camera. The method is simple, robust and provides high accuracy according to the tests. We tested the method using various classifiers such as SVMs, decision trees, KNN. The results demonstrate that the method is invariant to rotation, scale or illumination. Even if the objects change position in the scene, the classification is little influenced by that.
机译:本文提出的新颖方法是一种内容分类方法。使用基于内容的图像检索和单词袋等技术,我们对Kinect相机捕获的几个场景进行了分类。根据测试,该方法简单,稳健并且提供了很高的准确性。我们使用各种分类器(例如SVM,决策树,KNN)测试了该方法。结果表明,该方法对旋转,缩放或照度不变。即使对象改变了场景中的位置,分类也几乎不受此影响。

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