Title: The FG 2015 kinship verification in the wild evaluation
Authors: 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 
UNESCO Clasification: 120304 Inteligencia artificial
Issue Date: 2015
Abstract: 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
DOI: 10.1109/FG.2015.7163159



Source: 11th International Conference on Automatic Face and Gesture Recognition
Appears in Collections:Actas de Congresos

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