Evaluation of features for leaf classification in challenging conditions

Proceedings - 2015 IEEE Winter Conference on Applications of Computer Vision, WACV 2015

Volumn , Issue , 2015, Pages 797-804

  Hall, David ^a   McCool, Chris ^a   Dayoub, Feras ^a   Sünderhauf, Niko ^a   Upcroft, Ben ^a  

^a QUEENSLAND UNIVERSITY OF TECHNOLOGY   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

CONVOLUTIONAL NEURAL NETWORKS; DEEP NEURAL NETWORKS;

CLASSIFICATION APPROACH; FINE GRAINED; IDEAL IMAGES; IMAGING CONDITIONS; LEAF CLASSIFICATION; STATE-OF-THE-ART PERFORMANCE; STATISTICAL FEATURES;

CLASSIFICATION (OF INFORMATION);

EID: 84925424642     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/WACV.2015.111     Document Type: Conference Paper

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