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Distance Estimation of an Unknown Person from a Portrait

Burgos-Artizzu, Xavier P. and Ronchi, Matteo Ruggero and Perona, Pietro (2014) Distance Estimation of an Unknown Person from a Portrait. In: Computer Vision – ECCV 2014. Lecture Notes in Computer Science. Vol.1. No.8689. Springer , Cham, Switzerland, pp. 313-327. ISBN 978-3-319-10589-5.

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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 photographed from seven distances. We find that our proposed method outperforms humans performing the same task. We observe that different physiognomies will bias systematically the estimate of distance, i.e. some people look closer than others. We expire which landmarks are more important for this task.

Item Type:Book Section
Related URLs:
URLURL TypeDescription ItemProject Website and Code ItemConference Website
Perona, Pietro0000-0002-7583-5809
Additional Information:© Springer International Publishing Switzerland 2014. This work is funded by ONR MURI Grant N00014-10-1-0933 and NASA Stennis NAS7.03001.
Funding AgencyGrant Number
Office of Naval Research (ONR)N00014-10-1-0933
Subject Keywords:Camera-subject distance, Perspective distortion, Pose esti- mation, Face recognition.
Series Name:Lecture Notes in Computer Science
Issue or Number:8689
Record Number:CaltechAUTHORS:20140901-165812498
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Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:49084
Deposited By: Matteo Ruggero Ronchi
Deposited On:02 Sep 2014 18:06
Last Modified:10 Nov 2021 18:39

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