Title :
An Object Recognition Method Using RGB-D Sensor
Author :
Maeda, Daisuke ; Morimoto, Masayuki
Author_Institution :
Div. of Comput. Eng., Univ. of Hyogo, Himeji, Japan
Abstract :
To recognize objects within narrow categories, it is important to extract effective features from small number of training samples. In this paper, first we discuss several depth features to improve object recognition accuracy. After that, we also discuss feature dimension reduction when we have insufficient training samples.
Keywords :
feature extraction; image colour analysis; object recognition; RGB-D sensor; feature extraction; object recognition; Accuracy; Feature extraction; Image color analysis; Object recognition; Principal component analysis; Shape; Training; RGB-D sensor; minor subspace method; object recognition;
Conference_Titel :
Pattern Recognition (ACPR), 2013 2nd IAPR Asian Conference on
Conference_Location :
Naha
DOI :
10.1109/ACPR.2013.156
