Improving Face Detection with TOE Cameras

Dan Witzner Hansen; Rasmus Larsen; F Lauze

doi:10.1109/ISSCS.2007.4292692

Improving Face Detection with TOE Cameras

Dan Witzner Hansen, Rasmus Larsen, F Lauze

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

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Abstract

A face detection method based on a boosted classifier using images from a time-of-flight sensor is presented. We show that the performance of face detection can be improved when using both depth and gray scale images and that the common use of integration of hypotheses for verification can be relaxed. Based on the detected face we employ an active contour method on depth images for full head segmentation.

Original language	English
Title of host publication	International Symposium on Signals, Circuits and Systems, 2007. ISSCS 2007.
Publisher	IEEE
Publication date	2007
Pages	1-4
ISBN (Print)	1-4244-0969-1
DOIs	https://doi.org/10.1109/ISSCS.2007.4292692
Publication status	Published - 2007
Event	2007 International Symposium on Signals Circuits and Systems - Iasi, Romania Duration: 12 Jul 2007 → 13 Jul 2007 http://scs.etc.tuiasi.ro/isscs2007/

Conference

Conference	2007 International Symposium on Signals Circuits and Systems
Country	Romania
City	Iasi
Period	12/07/2007 → 13/07/2007
Internet address	http://scs.etc.tuiasi.ro/isscs2007/

Bibliographical note

Copyright: 2007 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE

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10.1109/ISSCS.2007.4292692

HansenFinal published version, 4.93 MB

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Cite this

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title = "Improving Face Detection with TOE Cameras",

abstract = "A face detection method based on a boosted classifier using images from a time-of-flight sensor is presented. We show that the performance of face detection can be improved when using both depth and gray scale images and that the common use of integration of hypotheses for verification can be relaxed. Based on the detected face we employ an active contour method on depth images for full head segmentation.",

author = "Hansen, {Dan Witzner} and Rasmus Larsen and F Lauze",

note = "Copyright: 2007 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE; 2007 International Symposium on Signals Circuits and Systems, ISSCS 2007 ; Conference date: 12-07-2007 Through 13-07-2007",

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PY - 2007

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N2 - A face detection method based on a boosted classifier using images from a time-of-flight sensor is presented. We show that the performance of face detection can be improved when using both depth and gray scale images and that the common use of integration of hypotheses for verification can be relaxed. Based on the detected face we employ an active contour method on depth images for full head segmentation.

AB - A face detection method based on a boosted classifier using images from a time-of-flight sensor is presented. We show that the performance of face detection can be improved when using both depth and gray scale images and that the common use of integration of hypotheses for verification can be relaxed. Based on the detected face we employ an active contour method on depth images for full head segmentation.

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