Patent US6885760B2 successfully refreshed from Google Patents.
← Back to Patent Explorer
US6885760B2 Expired / Lapsed US ⏱️ 0.0 years remaining

Method for detecting a human face and an apparatus of the same

Assignee: Panasonic Holdings Corp
•
Filing: 2001-01-29
•
Granted: 2005-04-26
•
Expires: 2021-01-29
📄 Original PDF 🌐 Google Patents 🔄 Sync Now

Abstract

Abstract In an apparatus for detecting a human face from an input image, candidate areas for an eye and candidate areas for an interval between eyes are detected from the image, an area of the interval between eyes is determined from the positional relationship between the candidate areas for an eye and candidate area for an interval between eyes, and a face area is determined so that the face area includes the area of the interval between eyes.

Inventors

  • 👤 Shin Yamada
  • 👤 Ryuta Itoh
  • 👤 Kenji Nagao
  • 👤 Masaki Souma

Bibliographic Details

Application Number —
Jurisdiction US
Data Source google_patents
Last Synchronized 2026-11-09 09:48
CPC Classifications
G; G06; G06V; G06V40/00; G06V40/10; G06V40/16; G06V40/161; G06V40/178

Claims Analysis

Total Claims: 26
Claim 1
Independent Claim 120 words
A detecting method for detecting a human face from an input image, comprising: detecting at least first and second candidate eye areas for first and second eyes and a plurality of candidate interval areas for an interval between the first and second eyes based on luminance characteristics of the input image; determining whether a candidate interval area among the plurality of candidate interval areas is between the first and second candidate eye areas; designating the candidate interval area as the interval between the first and second eyes when the candidate interval area is determined to be between the first and second candidate eye areas; and determining a face area based on the designated interval between the first and second eyes.
Claim 2
Dependent Claim 120 words
A detecting method for detecting a human face from an input image, comprising: detecting at least first and second candidate eye areas for first and second eyes and a plurality of candidate interval areas for an interval between the first and second eyes based on luminance characteristics of the input image; determining whether a candidate interval area among the plurality of candidate interval areas is between the first and second candidate eye areas; designating the candidate interval area as the interval between the first and second eyes when the candidate interval area is determined to be between the first and second candidate eye areas; and determining a face area based on the designated interval between the first and second eyes.
Claim 3
Dependent Claim 70 words
The method according to claim 1 , wherein the first and second candidate eye areas are detected from the luminance characteristics corresponding to a first plurality of portions of the input image having a substantially horizontal alignment and a second plurality of portions of the input image having a substantially vertical alignment, and wherein there are fewer of the second plurality of portions than of the first plurality of portions.
Claim 4
Dependent Claim 42 words
The method according to claim 1 , wherein the candidate interval areas are detected based on the luminance characteristics corresponding to a plurality of areas of the input image having fewer substantially horizontal portions and substantially vertical portions than a threshold amount.
Claim 5
Dependent Claim 37 words
The method according to claim 1 , further comprising: dividing at least a part of the input image into a plurality of sub areas, including the first and second candidate eye areas and the candidate interval areas.
Claim 6
Dependent Claim 26 words
The method according to claim 4 , wherein the candidate eye areas are detected using edge information of a plurality of pixels in the sub areas.
Claim 7
Dependent Claim 39 words
The method according to claim 4 , wherein the candidate eve areas are detected by obtaining a luminance histogram of a plurality of pixels in each of the sub areas, and comparing the luminance histogram between adjacent sub areas.
Claim 8
Dependent Claim 26 words
The method according to claim 4 , wherein the candidate interval areas are detected using edge information of a plurality of pixels in the sub areas.
Claim 9
Dependent Claim 32 words
The method according to claim 7 , wherein the candidate interval areas are detected using the edge information of the pixels in the sub areas adjacent each other in a vertical direction.
Claim 10
Dependent Claim 38 words
The method according claim 4 , wherein the candidate interval areas are detected by obtaining a luminance histogram of a plurality of pixels in each of the sub areas, and comparing the luminance histogram between adjacent small areas.
Claim 11
Dependent Claim 18 words
The method according to claim 1 , wherein information of a face in the face area is detected.
Claim 12
Dependent Claim 23 words
The method according to claim 10 , wherein the information of the face includes at least one of a sex and an age.
Claim 13
Dependent Claim 44 words
A moving picture retrieval method, comprising: detecting the face area using the method according to claim 1 from a frame picture of a moving picture; storing information of a face in each area; and retrieving a moving picture using the information on the face.
Claim 14
Dependent Claim 44 words
A face identifying method for identifying a face, comprising: detecting the face area using the method according to claim 1 ; and identifying a face using a feature vector of a face in each area and feature vectors of faces stored in a database.
Claim 15
Dependent Claim 95 words
A detecting method for detecting a human face from an input image, comprising: detecting a plurality of candidate eye areas for first and second eyes based on luminance characteristics of the input image; detecting an interval between the first and second eyes; examining one of luminance characteristics and shape characteristics of the candidate eye areas for the first and second eyes to determine a position of a right eye and a position of a left eye; and determining a face area including the position of the right eye and the position of the left eye.
Claim 16
Dependent Claim 95 words
A detecting method for detecting a human face from an input image, comprising: detecting a plurality of candidate eye areas for first and second eyes based on luminance characteristics of the input image; detecting an interval between the first and second eyes; examining one of luminance characteristics and shape characteristics of the candidate eye areas for the first and second eyes to determine a position of a right eye and a position of a left eye; and determining a face area including the position of the right eye and the position of the left eye.
Claim 17
Dependent Claim 139 words
A detecting apparatus for detecting a human face from an input image, comprising: an eye candidate detecting section configured to detect an interval between a plurality of candidate eye areas for first and second eyes based on a plurality of luminance characteristics of the input image; an interval detecting section configured to detect an interval between the first and second eyes; an eye determining section configured to examine one of luminance characteristics and shape characteristics of the candidate eye areas for the first and second eyes detected by said eye candidate detecting section to determine a position of a right eye and a position of a left eye; and a face determining section configured to determine a face area including the position of the right eye and the position of the left eye determined by said eye determining section.
Claim 18
Dependent Claim 139 words
A detecting apparatus for detecting a human face from an input image, comprising: an eye candidate detecting section configured to detect an interval between a plurality of candidate eye areas for first and second eyes based on a plurality of luminance characteristics of the input image; an interval detecting section configured to detect an interval between the first and second eyes; an eye determining section configured to examine one of luminance characteristics and shape characteristics of the candidate eye areas for the first and second eyes detected by said eye candidate detecting section to determine a position of a right eye and a position of a left eye; and a face determining section configured to determine a face area including the position of the right eye and the position of the left eye determined by said eye determining section.
Claim 19
Dependent Claim 136 words
A computer readable storage medium storing a detecting program for detecting a human face from an image, said detecting program configured to cause a computer to perform at least: detecting at least first and second candidate eye areas for first and second eyes and a plurality of candidate interval areas for an interval between the first and second eyes based on luminance characteristics of the input image; determining whether a candidate interval area among the plurality of candidate interval areas is between the first and second candidate eye areas; designating the candidate interval area as the interval between the first and second eyes when the candidate interval area is determined to be between the first and second candidate eye areas; and determining a face area based on the designated interval between the first and second eyes.
Claim 20
Dependent Claim 136 words
A computer readable storage medium storing a detecting program for detecting a human face from an image, said detecting program configured to cause a computer to perform at least: detecting at least first and second candidate eye areas for first and second eyes and a plurality of candidate interval areas for an interval between the first and second eyes based on luminance characteristics of the input image; determining whether a candidate interval area among the plurality of candidate interval areas is between the first and second candidate eye areas; designating the candidate interval area as the interval between the first and second eyes when the candidate interval area is determined to be between the first and second candidate eye areas; and determining a face area based on the designated interval between the first and second eyes.
Claim 21
Dependent Claim 108 words
A computer readable storage medium storing a detecting program for detecting a human face from an image, said program configured to cause a computer to perform at least: detecting a plurality of candidate eye areas for first and second eyes based on a plurality of luminance characteristics of the image; detecting an interval between the first and second eyes; examining one of luminance characteristics and shape characteristics of the candidate areas for both eyes to determine a position of a right eye and a position of a left eye; and determining a face area including the position of the right eye and the position of the left eye.
Claim 22
Dependent Claim 108 words
A computer readable storage medium storing a detecting program for detecting a human face from an image, said program configured to cause a computer to perform at least: detecting a plurality of candidate eye areas for first and second eyes based on a plurality of luminance characteristics of the image; detecting an interval between the first and second eyes; examining one of luminance characteristics and shape characteristics of the candidate areas for both eyes to determine a position of a right eye and a position of a left eye; and determining a face area including the position of the right eye and the position of the left eye.
Claim 23
Dependent Claim 158 words
A computer readable storage medium storing a motion picture retrieval program, said motion picture retrieval program configured to cause a computer to perform at least: detecting at least first and second candidate eye areas for first and second eyes and a plurality of candidate interval areas for an interval between the first and second eyes based on a plurality of luminance characteristics of a frame picture of a motion picture; determining whether a candidate interval area among the plurality of candidate interval areas is between the first and second candidate eye areas; designating the candidate interval area as the interval between the first and second eyes when the candidate interval area is determined to be between the first and second candidate eye areas; determining a face area based on the designated interval between the first and second eyes; storing information of a face in the face area; and retrieving a motion picture using the information of the face.
Claim 24
Dependent Claim 158 words
A computer readable storage medium storing a motion picture retrieval program, said motion picture retrieval program configured to cause a computer to perform at least: detecting at least first and second candidate eye areas for first and second eyes and a plurality of candidate interval areas for an interval between the first and second eyes based on a plurality of luminance characteristics of a frame picture of a motion picture; determining whether a candidate interval area among the plurality of candidate interval areas is between the first and second candidate eye areas; designating the candidate interval area as the interval between the first and second eyes when the candidate interval area is determined to be between the first and second candidate eye areas; determining a face area based on the designated interval between the first and second eyes; storing information of a face in the face area; and retrieving a motion picture using the information of the face.
Claim 25
Dependent Claim 158 words
A computer readable storage medium storing a face identifying program, said program configured to cause a computer to perform at least: detecting at least first and second candidate eye areas for first and second eyes and a plurality of candidate interval areas for an interval between the first and second eyes based on a plurality of luminance characteristics of an image; determining whether a candidate interval area among the plurality of candidate interval areas is between the first and second candidate eye areas; designating the candidate interval area as the interval between the first and second eyes when the candidate interval area is determined to be between the first and second candidate eye areas; determining a face area based on the designated interval between the first and second eyes; and identifying a face using a feature vector of the face extracted from the face area compared with a plurality of feature vectors of faces stored in a database.
Claim 26
Dependent Claim 158 words
A computer readable storage medium storing a face identifying program, said program configured to cause a computer to perform at least: detecting at least first and second candidate eye areas for first and second eyes and a plurality of candidate interval areas for an interval between the first and second eyes based on a plurality of luminance characteristics of an image; determining whether a candidate interval area among the plurality of candidate interval areas is between the first and second candidate eye areas; designating the candidate interval area as the interval between the first and second eyes when the candidate interval area is determined to be between the first and second candidate eye areas; determining a face area based on the designated interval between the first and second eyes; and identifying a face using a feature vector of the face extracted from the face area compared with a plurality of feature vectors of faces stored in a database.

References Cited (Backward Citations)

US5450504A Cited
US5781650A Cited
JPH07311833A Cited
US6251891B1 Cited
US5859921A Cited
US6307954B1 Cited

USPTO Annuity & Maintenance Windows

Annuity Stage Window Opens Payment Deadline Surcharge Period Until Estimated Fee Status
3.5 Years (Year 4) 2008-04-25 2008-10-25 2009-04-26 $2000.00 Window Closed / Lapsed
7.5 Years (Year 8) 2012-04-25 2012-10-25 2013-04-26 $3760.00 Window Closed / Lapsed
11.5 Years (Year 12) 2016-04-25 2016-10-25 2017-04-26 $7700.00 Window Closed / Lapsed

Assigned Categories & Tags

No categories assigned to this patent yet.

Assign Category Tag