BFO meets HOG: Feature extraction based on histograms of oriented p.d.f. gradients for image classification

Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition

Volumn , Issue , 2013, Pages 747-754

  Kobayashi, Takumi ^a  

^a NATIONAL INSTITUTE OF ADVANCED INDUSTRIAL SCIENCE AND TECHNOLOGY AIST   (Japan)

Author keywords

bag of features; image feature; kernel density estimation; oriented gradient; probability density function

Indexed keywords

AGGREGATION MODEL; BAG OF FEATURES; CLASSIFICATION METHODS; FEATURE EXTRACTION METHODS; IMAGE FEATURES; KERNEL DENSITY ESTIMATION; ORIENTED GRADIENTS; SCENE CLASSIFICATION;

CLASSIFICATION (OF INFORMATION); FEATURE EXTRACTION; GRAPHIC METHODS; OBJECT RECOGNITION; PROBABILITY DENSITY FUNCTION; STATISTICAL METHODS;

IMAGE CLASSIFICATION;

EID: 84887371776     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2013.102     Document Type: Conference Paper

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