Depth-based face recognition using local quantized patterns adapted for range data

Mantecón del Valle, Tomás and Blanco Adán, Carlos Roberto del and Jaureguizar Núñez, Fernando and García Santos, Narciso (2014). Depth-based face recognition using local quantized patterns adapted for range data. In: "IEEE International Conference on Image Processing (ICIP 2014)", 27/10/2014 - 30/10/2014, Paris, France. pp. 293-297. https://doi.org/10.1109/ICIP.2014.7025058.

Description

Title: Depth-based face recognition using local quantized patterns adapted for range data
Author/s:
  • Mantecón del Valle, Tomás
  • Blanco Adán, Carlos Roberto del
  • Jaureguizar Núñez, Fernando
  • García Santos, Narciso
Item Type: Presentation at Congress or Conference (Article)
Event Title: IEEE International Conference on Image Processing (ICIP 2014)
Event Dates: 27/10/2014 - 30/10/2014
Event Location: Paris, France
Title of Book: IEEE International Conference on Image Processing (ICIP 2014)
Date: 2014
Subjects:
Freetext Keywords: Kinect 2, Depth Local Quantized Pattern, face recognition, face database, classification
Faculty: E.T.S.I. Telecomunicación (UPM)
Department: Señales, Sistemas y Radiocomunicaciones
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

A depth-based face recognition algorithm specially adapted to high range resolution data acquired by the new Microsoft Kinect 2 sensor is presented. A novel descriptor called Depth Local Quantized Pattern descriptor has been designed to make use of the extended range resolution of the new sensor. This descriptor is a substantial modification of the popular Local Binary Pattern algorithm. One of the main contributions is the introduction of a quantification step, increasing its capacity to distinguish different depth patterns. The proposed descriptor has been used to train and test a Support Vector Machine classifier, which has proven to be able to accurately recognize different people faces from a wide range of poses. In addition, a new depth-based face database acquired by the new Kinect 2 sensor have been created and made public to evaluate the proposed face recognition system.

Funding Projects

TypeCodeAcronymLeaderTitle
Government of SpainTEC2010-20412UnspecifiedUnspecifiedUnspecified
UnspecifiedSAVIERUnspecifiedUnspecifiedUnspecified

More information

Item ID: 37597
DC Identifier: http://oa.upm.es/37597/
OAI Identifier: oai:oa.upm.es:37597
DOI: 10.1109/ICIP.2014.7025058
Deposited by: Memoria Investigacion
Deposited on: 14 Oct 2015 16:11
Last Modified: 14 Oct 2015 16:12
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