TY - JOUR
T1 - Plant identification via multipath sparse coding
AU - Zhu, Heyan
AU - Huang, Xinyuan
AU - Zhang, Shengping
AU - Yuen, Pong C.
N1 - Publisher Copyright:
© 2016, Springer Science+Business Media New York.
PY - 2017/2/1
Y1 - 2017/2/1
N2 - In this paper, we propose a novel plant identification method based on multipath sparse coding using SIFT features, which avoids the need of feature engineering and the reliance on botanical taxonomy. In particular, the proposed method uses five paths to model the shape and texture features of plant images, and at each path it learns the dictionaries with different sizes using hierarchical sparse coding. Finally, we apply the learned representation for plant identification using linear SVM for classification. We evaluate the proposed method on several plant datasets and find that multi-organ is more informative than single organ for botanist. Experimental results also validate that the proposed method outperforms the state-of-the-art methods.
AB - In this paper, we propose a novel plant identification method based on multipath sparse coding using SIFT features, which avoids the need of feature engineering and the reliance on botanical taxonomy. In particular, the proposed method uses five paths to model the shape and texture features of plant images, and at each path it learns the dictionaries with different sizes using hierarchical sparse coding. Finally, we apply the learned representation for plant identification using linear SVM for classification. We evaluate the proposed method on several plant datasets and find that multi-organ is more informative than single organ for botanist. Experimental results also validate that the proposed method outperforms the state-of-the-art methods.
KW - Linear SVM
KW - Multi-organ
KW - Multipath sparse coding
KW - Plant identification
KW - SIFT descriptor
UR - http://www.scopus.com/inward/record.url?scp=84968638585&partnerID=8YFLogxK
U2 - 10.1007/s11042-016-3538-4
DO - 10.1007/s11042-016-3538-4
M3 - Journal article
AN - SCOPUS:84968638585
SN - 1380-7501
VL - 76
SP - 4599
EP - 4615
JO - Multimedia Tools and Applications
JF - Multimedia Tools and Applications
IS - 3
ER -