Multi-view CSPMPR-ELM feature learning and classifying for RGB-D object recognition
Sign Up to like & getrecommendations! Published in 2018 at "Cluster Computing"
DOI: 10.1007/s10586-018-1695-0
Abstract: In order to fully utilize potential feature information of RGB-D images, current popular algorithms mainly use convolutional neural network (CNN) to execute both feature extraction and classification. Such methods could achieve impressive results but usually on the… read more here.
Keywords: feature; object recognition; elm; rgb object ... See more keywords
Kernel quaternion principal component analysis and its application in RGB-D object recognition
Sign Up to like & getrecommendations! Published in 2017 at "Neurocomputing"
DOI: 10.1016/j.neucom.2017.05.047
Abstract: Abstract While the existing quaternion principal component analysis (QPCA) is a linear tool developed mainly for processing linear quaternion signals, the quaternion representation (QR) used in QPCA creates redundancy when representing a color image signal… read more here.
Keywords: quaternion; quaternion principal; object recognition; rgb object ... See more keywords