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
Improved Two-Dimensional Quaternion Principal Component Analysis
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2923359
Abstract: The two-dimensional quaternion principal component analysis (2D-QPCA) is first improved into abstracting the features of quaternion matrix samples in both row and column directions, being the generalization ability, and with the components weighted by corresponding… read more here.
Keywords: dimensional quaternion; component analysis; quaternion principal; principal component ... See more keywords