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| author | adamhrv <adam@ahprojects.com> | 2018-11-04 21:54:00 +0100 |
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| committer | adamhrv <adam@ahprojects.com> | 2018-11-04 21:54:00 +0100 |
| commit | 9bcba0d02aafb34a5a9ca3db2f894f1fc95401c0 (patch) | |
| tree | 3dcaf94563498c15b56d51efc62750d0be72e01a /datasets/scholar/entries/Distance Estimation of an Unknown Person from a Portrait .csv | |
| parent | ef45f3c93ffd39b57ee56db74a95f9d2dae074a8 (diff) | |
| parent | 0dc3e40434c23e4d48119465f39b03bf35fb56bd (diff) | |
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| -rw-r--r-- | datasets/scholar/entries/Distance Estimation of an Unknown Person from a Portrait .csv | 1 |
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diff --git a/datasets/scholar/entries/Distance Estimation of an Unknown Person from a Portrait .csv b/datasets/scholar/entries/Distance Estimation of an Unknown Person from a Portrait .csv new file mode 100644 index 00000000..5cd26552 --- /dev/null +++ b/datasets/scholar/entries/Distance Estimation of an Unknown Person from a Portrait .csv @@ -0,0 +1 @@ +Distance estimation of an unknown person from a portrait|http://scholar.google.com/https://link.springer.com/chapter/10.1007/978-3-319-10590-1_21|2014|7|9|11199246855168438175|None|http://scholar.google.com/scholar?cites=11199246855168438175&as_sdt=2005&sciodt=0,5&hl=en|http://scholar.google.com/scholar?cluster=11199246855168438175&hl=en&as_sdt=0,5|None|We propose the first automated method for estimating distance from frontal pictures of unknown faces. Camera calibration is not necessary, nor is the reconstruction of a 3D representation of the shape of the head. Our method is based on estimating automatically the position of face and head landmarks in the image, and then using a regressor to estimate distance from such measurements. We collected and annotated a dataset of frontal portraits of 53 individuals spanning a number of attributes (sex, age, race, hair), each … |
