Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/16132
Título: The FG 2015 kinship verification in the wild evaluation
Autores/as: Lu, Jiwen
Hu, Junlin
Erin Liong, Venice
Zhou, Xiuzhuang
Bottino, Andrea
Ul Islam, Ihtesham
Figueiredo Vieira, Tiago
Qin, Xiaoqian
Tan, Xiaoyang
Shahar Mahpod, Songcan
Keller, Yosi
Zheng, Lilei
Idrissi, Khalid
Garcia, Christophe
Duffner, Stefan
Baskurt, Atilla
Castrillón-Santana, Modesto 
Lorenzo Navarro, José Javier 
Clasificación UNESCO: 120304 Inteligencia artificial
Fecha de publicación: 2015
Editor/a: Institute of Electrical and Electronics Engineers (IEEE) 
Conferencia: 11th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition, FG 2015 
Resumen: The aim of the Kinship Verification in the Wild Evaluation (held in conjunction with the 2015 IEEE International Conference on Automatic Face and Gesture Recognition, Ljubljana, Slovenia) was to evaluate different kinship verification algorithms. For this task, two datasets were made available and three possible experimental protocols (unsupervised, image-restricted, and image-unrestricted) were designed. Five institutions submitted their results to the evaluation: (i) Politecnico di Torino, Italy; (ii) LIRIS-University of Lyon, France; (iii) Universidad de Las Palmas de Gran Canaria, Spain; (iv) Nanjing University of Aeronautics and Astronautics, China; and (v) Bar Ilan University, Israel. Most of the participants tackled the image-restricted challenge and experimental results demonstrated better kinship verification performance than the baseline methods provided by the organizers.
URI: http://hdl.handle.net/10553/16132
ISBN: 978-1-4799-6026-2
DOI: 10.1109/FG.2015.7163159
Fuente: 2015 11Th IEEE International Conference And Workshops On Automatic Face And Gesture Recognition (Fg), v. 1
Colección:Actas de congresos
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