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On Constructing Facial Similarity Maps

Holub, Alex and Liu, Yun-hsueh and Perona, Pietro (2007) On Constructing Facial Similarity Maps. In: IEEE Conference on Computer Vision and Pattern Recognition, 2007. CVPR '07. IEEE , Piscataway, NJ. ISBN 1-4244-1179-3.

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Automatically determining facial similarity is a difficult and open question in computer vision. The problem is complicated both because it is unclear what facial features humans use to determine facial similarity and because facial similarity is subjective in nature: similarity judgements change from person to person. In this work we suggest a system which places facial similarity on a solid computational footing. First we describe methods for acquiring facial similarity ratings from humans in an efficient manner. Next we show how to create feature vector representations for each face by extracted patches around facial keypoints. Finally we show how to use the acquired similarity ratings to learn functional mapping which project facial-feature vectors into Face Spaces which correspond to our notions of facial similarity. We use different collections of images to both create and validate the Face Spaces including: perceptual similarity data obtained from humans, morphed faces between two different individuals, and the CMU PIE collection which contains images of the same individual under different lighting conditions. We demonstrate that using our methods we can effectively create Face Spaces which correspond to human notions of facial similarity.

Item Type:Book Section
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Perona, Pietro0000-0002-7583-5809
Additional Information:© 2007 IEEE.
Record Number:CaltechAUTHORS:20150903-131334248
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Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:60054
Deposited By: Caroline Murphy
Deposited On:09 Sep 2015 23:30
Last Modified:10 Nov 2021 22:29

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