Kernel quaternion principal component analysis and its application in RGB-D object recognition

Neurocomputing

Volumn 266, Issue , 2017, Pages 293-303

  Chen, Beijing ^a,b   Yang, Jianhao ^a   Jeon, Byeungwoo ^b   Zhang, Xinpeng ^c  

^a NANJING UNIVERSITY OF INFORMATION SCIENCE AND TECHNOLOGY   (China)

^b Sungkyunkwan University   (South Korea)

^c SHANGHAI UNIVERSITY   (China)

Author keywords

Kernel function; Principal component analysis; Quaternion; RGB D object recognition

Indexed keywords

COLOR IMAGE PROCESSING; DATA HANDLING; IMAGE PROCESSING; OBJECT RECOGNITION;

DEPTH INFORMATION; ITS APPLICATIONS; KERNEL FUNCTION; QUATERNION; QUATERNION MATRIX; QUATERNION REPRESENTATION; QUATERNION SIGNALS; THREE COMPONENT;

PRINCIPAL COMPONENT ANALYSIS;

ALGORITHM; ARTICLE; DATA BASE; DATA PROCESSING; EXPERIMENTAL STUDY; INTERMETHOD COMPARISON; KERNEL METHOD; KERNEL QUATERNION PRINCIPAL COMPONENT ANALYSIS; NONLINEAR SYSTEM; PRINCIPAL COMPONENT ANALYSIS; PRIORITY JOURNAL; VISUAL INFORMATION; VISUAL MEMORY;

EID: 85019667608     PISSN: 09252312     EISSN: 18728286     Source Type: Journal    
DOI: 10.1016/j.neucom.2017.05.047     Document Type: Article

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