DMCA
H.: Annotated facial landmarks in the wild: A large-scale, real-world database for facial landmark localization (2011)
| Venue: | In: Benchmarking Facial Image Analysis Technologies (ICCV Workshop |
| Citations: | 42 - 2 self |
BibTeX
@INPROCEEDINGS{Köstinger11h.:annotated,
author = {Martin Köstinger and Paul Wohlhart and Peter M. Roth and Horst Bischof},
title = {H.: Annotated facial landmarks in the wild: A large-scale, real-world database for facial landmark localization},
booktitle = {In: Benchmarking Facial Image Analysis Technologies (ICCV Workshop},
year = {2011}
}
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Abstract
Face alignment is a crucial step in face recognition tasks. Especially, using landmark localization for geometric face normalization has shown to be very effective, clearly improving the recognition results. However, no adequate databases exist that provide a sufficient number of annotated facial landmarks. The databases are either limited to frontal views, provide only a small number of annotated images or have been acquired under controlled conditions. Hence, we introduce a novel database overcoming these limitations: Annotated Facial Landmarks in the Wild (AFLW). AFLW provides a large-scale collection of images gathered from Flickr, exhibiting a large variety in face appearance (e.g., pose, expression, ethnicity, age, gender) as well as general imaging and environmental conditions. In total 25,993 faces in 21,997 real-world images are annotated with up to 21 landmarks per image. Due to the comprehensive set of annotations AFLW is well suited to train and test algorithms for multi-view face detection, facial landmark localization and face pose estimation. Further, we offer a rich set of tools that ease the integration of other face databases and associated annotations into our joint framework. 1.
Keyphrases
annotated facial landmark facial landmark localization real-world database multi-view face detection environmental condition associated annotation recognition result face database novel database joint framework landmark localization facial landmark adequate database frontal view face alignment large variety crucial step face appearance general imaging small number controlled condition annotation aflw real-world image comprehensive set face recognition task face pose estimation geometric face normalization large-scale collection sufficient number annotated image rich set
