Fisher Vectors for Leaf Image Classification: An Experimental Evaluation

Autor:	Julian Pucheta, Javier A. Redolfi, Jorge Sanchez
Rok vydání:	2015
Předmět:	Plant identification Exponential family Contextual image classification business.industry Computer science Encoding (memory) Visual descriptors Fisher kernel Fisher vector Pattern recognition Artificial intelligence business
Zdroj:	Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications ISBN: 9783319257501 CIARP
Popis:	In this work we present an experimental evaluation of the exponential family Fisher vector (eFV) encoding applied to the problem of visual plant identification. We evaluate the performance of this model together with a variety of local image descriptors on four different datasets and compare the results with other methods proposed in the literature. Experiments show that the eFV achieves a performance that compares favorably with other state-of-the-art approaches on this problem.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::e2ac4aadc3c370d48f9496ca449ca4e1 https://doi.org/10.1007/978-3-319-25751-8_36 Zobrazit plný text záznamu