作者
Lorenzo Peppoloni, Massimo Satler, Emanuel Luchetti, Carlo Alberto Avizzano, Paolo Tripicchio
发表日期
2014/7/3
研讨会论文
Intelligent Engineering Systems (INES), 2014 18th International Conference on
页码范围
215-220
出版商
IEEE
简介
The problem of object recognition and detection has been largely addressed by the robotics community, since its importance both in mapping and manipulation problems. One possible approach for the recognition task is to assume a specific a-priori knowledge of the objects possibly present in a scene. In this framework, this paper presents a novel technique for object detection and recognition based on Stacked Generalization (SG) method developed by Wolpert in 1992. The innovation of the proposed technique is the introduction of SG classification method to perform a multi-layer object recognition fusing heterogeneous spatial and color data acquired with an RGB-D camera. To improve the accuracy and the robustness of the system to environmental variability, we introduce a second layer classifier. Its goal is to evaluate and weights the results of the first layer classifiers, thus combining and improving the overall …
引用总数
201420152016201720182019202020212022202311231532
学术搜索中的文章
L Peppoloni, M Satler, E Luchetti, CA Avizzano… - IEEE 18th International Conference on Intelligent …, 2014