Single image reconstruction of human faces using database of depth images

Ferková, Zuzana; Žuži, Marek; Urbanova, Petra; Matula, Petr

doi:10.1109/vs-games.2017.8056578

Cited by 1 publication

(2 citation statements)

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“…It compensates for the lack of depth in traditional photographs, which creates difficulties for recognizing faces in a holistic manner, and reduces the ability to ascertain the topography of separate facial features (Eng et al 2017). Ultimately, given an easy conversion between 3D and 2D data, it provides a good starting point for the examination of both 3D and 2D faces and face-related processes (Ferková et al 2017).…”

Section: Extended Public Fidentis 3d Face Databasementioning

confidence: 99%

“…To date, the present research has been conducted exclusively within the FIDENTIS research group. Our first intentions with 3D faces were to gather training and test datasets for developing algorithms for face recognition (Urbanová and Chalás 2016), image face identification (Urbanová 2016), 3D face reconstruction (Ferková et al 2017), and 3D face visualizations (Furmanová et al 2017). However, the original design has evolved beyond these postulates.…”

Section: Extended Public Fidentis 3d Face Databasementioning

confidence: 99%

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Introducing the FIDENTIS 3D Face Database

Urbanová

Ferková

Jandová

et al. 2018

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Face databases have assumed an important role in a variety of clinical and applied research domains. However, the number of datasets accessible to the scientific community is limited and the knowledge of their existence may be concealed from a wider range of specialists. In the present paper we introduce a sizeable dataset of 3D facial scans - FIDENTIS 3D Face Database (F3D-FD or FIDENTIS Database), which is accompanied by basic demographic and descriptive data. The database is structured according to recorded subjects, and comprises single-scan entries as well as a smaller number of multiscan entries. The multi-scan entries vary in the time passed between recording sessions and in the devices employed to collect the 3D data. The total number of 2476 individuals puts our database within the category of large-scale databases. The 3D scans are accessible through a web-based interface at www. fidentis.cz. A licensed version of the database is available to interested parties upon signing a license agreement. Because of its varied composition, and low target-specificity the database has capacity to be of great assistance for the worldwide research community.

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Section: Extended Public Fidentis 3d Face Databasementioning

confidence: 99%

Section: Extended Public Fidentis 3d Face Databasementioning

confidence: 99%