From 640fb390baf494571114bc50b8059c9823ee899e Mon Sep 17 00:00:00 2001 From: Jules Laplace Date: Wed, 31 Oct 2018 02:15:35 +0100 Subject: data --- ...PH: A Longitudinal Image Database of Normal Adult Age-Progression.csv | 1 + 1 file changed, 1 insertion(+) create mode 100644 datasets/scholar/entries/MORPH: A Longitudinal Image Database of Normal Adult Age-Progression.csv (limited to 'datasets/scholar/entries/MORPH: A Longitudinal Image Database of Normal Adult Age-Progression.csv') diff --git a/datasets/scholar/entries/MORPH: A Longitudinal Image Database of Normal Adult Age-Progression.csv b/datasets/scholar/entries/MORPH: A Longitudinal Image Database of Normal Adult Age-Progression.csv new file mode 100644 index 00000000..a41ffc41 --- /dev/null +++ b/datasets/scholar/entries/MORPH: A Longitudinal Image Database of Normal Adult Age-Progression.csv @@ -0,0 +1 @@ +Morph: A longitudinal image database of normal adult age-progression|http://scholar.google.com/https://ieeexplore.ieee.org/abstract/document/1613043/|2006|673|6|4438087728034206462|None|http://scholar.google.com/scholar?cites=4438087728034206462&as_sdt=2005&sciodt=0,5&hl=en|http://scholar.google.com/scholar?cluster=4438087728034206462&hl=en&as_sdt=0,5|None|This paper details MORPH a longitudinal face database developed for researchers investigating all facets of adult age-progression, eg face modeling, photo-realistic animation, face recognition, etc. This database contributes to several active research areas, most notably face recognition, by providing: the largest set of publicly available longitudinal images; longitudinal spans from a few months to over twenty years; and, the inclusion of key physical parameters that affect aging appearance. The direct contribution of this data corpus … -- cgit v1.2.3-70-g09d2