Illumination Detection Using Classifier Chains

a classifier and classifier technology, applied in the field of face detection and recognition, can solve the problems of difficult clustering of images of the same person, difficult classification, etc., and achieve the effect of improving face recognition results and gaining attention

Inactive Publication Date: 2012-08-16
DIGITALPTICS EURO
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

A problem in face recognition processes arises when faces that are unevenly illuminated are distributed in a large area of face space making correct classification difficult.
Faces with similar illumination tend to be clustered together and correct clustering of images of the same person is difficult.

Method used

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  • Illumination Detection Using Classifier Chains
  • Illumination Detection Using Classifier Chains
  • Illumination Detection Using Classifier Chains

Examples

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Embodiment Construction

[0032]FIG. 1 illustrates subsystems of a face detection and tracking system according to certain embodiments. The solid lines indicate the flow of image data; the dashed line indicates control inputs or information outputs (e.g. location(s) of detected faces) from a module. In this example an image processing apparatus can be a digital still camera (DSC), a video camera, a cell phone equipped with an image capturing mechanism or a hand held computer equipped with an internal or external camera.

[0033]A digital image is acquired in raw format from an image sensor (CCD or CMOS) [105] and an image subsampler [112] generates a smaller copy of the main image. A digital camera may contain dedicated hardware subsystems to perform image subsampling, for example, to provide preview images to a camera display and / or camera processing components. The subsampled image may be provided in bitmap format (RGB or YCC). In the meantime, the normal image acquisition chain performs post-processing on th...

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Abstract

A face illumination normalization method includes acquiring a digital image including a face that appears to be illuminated unevenly. One or more uneven illumination classifier programs are applied to the face data to determine the presence of the face within the digital image and / or the uneven illumination condition of the face. The uneven illumination condition may be corrected to thereby generate a corrected face image appearing to have more uniform illumination, for example, to enhance face recognition.

Description

PRIORITY[0001]This application is a Divisional of U.S. patent application Ser. No. 12 / 038,777, filed Feb. 27, 2008; which claims priority to U.S. provisional patent application No. 60 / 892,881, filed Mar. 5, 2007, which is incorporated by reference.OTHER RELATED APPLICATIONS[0002]This application is related to U.S. patent application Ser. No. 11 / 027,001, filed Dec. 29, 2004, now U.S. Pat. No. 7,715,597; and U.S. patent application Ser. No. 11 / 464,083, filed Aug. 11, 2006, now U.S. Pat. No. 7,315,631; which are hereby incorporated by reference.BACKGROUND[0003]1. Field of the Invention[0004]The invention relates to face detection and recognition, particularly under uneven illumination conditions.[0005]2. Description of the Related Art[0006]Viola-Jones proposes a classifier chain consisting of a series of sequential feature detectors. The classifier chain rejects image patterns that do not represent faces and accepts image patterns that do represent faces.[0007]A problem in face recogni...

Claims

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Application Information

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Patent Type & Authority Applications(United States)
IPC IPC(8): G06K9/62G06V10/774G06V10/60
CPCG06V40/167G06V10/60G06V10/774G06F18/00G06F18/214
Inventor BLONK, LEENDERTGANGEA, MIHNEACORCORAN, PETER
Owner DIGITALPTICS EURO
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