The FG 2015 kinship verification in the wild evaluation


Autoria(s): 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
Data(s)

15/03/2016

15/03/2016

2015

Resumo

<p>[ES]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.</p>

Identificador

http://hdl.handle.net/10553/16132

720758

<p><a href="http://dx.doi.org/10.1109/FG.2015.7163159" target="_blank">10.1109/FG.2015.7163159</a></p>

Idioma(s)

eng

Direitos

info:eu-repo/semantics/openAccess

Fonte

<p>11th International Conference on Automatic Face and Gesture Recognition</p>

Palavras-Chave #120304 Inteligencia artificial
Tipo

info:eu-repo/semantics/conferenceObject