KR950702051A - 개인식별장치(apparatus for identifying person) - Google Patents

개인식별장치(apparatus for identifying person)

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Publication number
KR950702051A
KR950702051A KR1019940704328A KR19940704328A KR950702051A KR 950702051 A KR950702051 A KR 950702051A KR 1019940704328 A KR1019940704328 A KR 1019940704328A KR 19940704328 A KR19940704328 A KR 19940704328A KR 950702051 A KR950702051 A KR 950702051A
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South Korea
Prior art keywords
feature
unit
identification device
personal identification
average brightness
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KR1019940704328A
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English (en)
Other versions
KR0158038B1 (ko
Inventor
요시야스 가도
마사미찌 나까가와
구니오 노보리
Original Assignee
모리시다 요오이찌
미쓰시다 덴끼 산교오 가부시기가이샤
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Application filed by 모리시다 요오이찌, 미쓰시다 덴끼 산교오 가부시기가이샤 filed Critical 모리시다 요오이찌
Publication of KR950702051A publication Critical patent/KR950702051A/ko
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Publication of KR0158038B1 publication Critical patent/KR0158038B1/ko

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Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/16Human faces, e.g. facial parts, sketches or expressions
    • G06V40/161Detection; Localisation; Normalisation
    • G06V40/166Detection; Localisation; Normalisation using acquisition arrangements
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/16Human faces, e.g. facial parts, sketches or expressions
    • G06V40/168Feature extraction; Face representation
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/16Human faces, e.g. facial parts, sketches or expressions
    • G06V40/168Feature extraction; Face representation
    • G06V40/171Local features and components; Facial parts ; Occluding parts, e.g. glasses; Geometrical relationships

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  • Engineering & Computer Science (AREA)
  • Health & Medical Sciences (AREA)
  • Oral & Maxillofacial Surgery (AREA)
  • General Health & Medical Sciences (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Human Computer Interaction (AREA)
  • Multimedia (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Collating Specific Patterns (AREA)
  • Image Processing (AREA)

Abstract

얼굴화상을 화상입력부에서 입력하여 입력된 얼굴화상으로 부터 눈,코,입 등의 특징점을 추출하여 추출한 특징점을 이용하여 얼굴화상을 다수의 패치로 일정한 규칙으로 분할하고, 패치의 집합으로서 얼굴화상을 기술한다. 그리고, 각 패치마다의 특징량을 추출하여 특징량의 집합으로서, 얼굴화상을 표현하여 본인을 동정(同定)한다.

Description

개잊식별장치(APPARATUS FOR IDENTIFYING PERSON)
본 내용은 요부공개 건이므로 전문내용을 수록하지 않았음
제1도는 본 발명에 관한 개인식별장치의 시스템 구성도이다,
제2도는 본 발명에 관한 개인식별장치의 실시예를 나타낸 블록도이다,
제3도는 얼굴의 특징점을 나타낸 설명도이다.

Claims (6)

  1. 식별하여야 할 인물이 얼굴화상을 입력하는 화상입력부와, 화상입력부에서 입력된 얼굴화상정보를 격납하는 화상기억부와, 화상기억부에 격납된 얼굴화상으로부터 특징점을 추출하는 특징점 추출부와, 추출된 특정점에 기초하여 열굴화상을 일정한 규칙에 따라 소구획으로 세분하여 소구획의 집합으로서 기술함과 함께, 소구획 마다의 특징량을 추출하는 특징량 추출부와, 특징량 추출부에 의하여 추출된 특징량과 미리 구하여 둔 본인의 얼굴화상의 특징량과의 거리를 계산하여 본인인지 아닌지의 식별을 하는 판정부등으로 된 것을 특징으로 하는 개인식별장치.
  2. 제1항에 있어서, 특징량 추출부는 기준으로 하는 얼구의 구조를 소구획의 집합으로 기술한 기준구조모델부와, 특징점 추출부에서 추출된 특징점에 기초하여 기준구조모델을 변형하여 입력된 얼굴화상에 정합시키는 구조모델 정합부등으로 된 것을 특징으로 하는 개인식별장치.
  3. 제1항에 있어서, 특징량으로서 각 소구획에 있어서, 평균명도를 사용하는 것을 특징으로 하는 개인식별장치.
  4. 제1항에 있어서, 특징량으로서 소구획 사이의 평균명도의 차분을 사용하는것을 특징으로 하는 개인식별장치.
  5. 제3항에 있어서, 소구획의 평균명도의 분포로 부터 광원의 위치를 추정하여 추정된 광원의 위치에 따라서 소구획의 평균명도를 조정하는 것을 특징으로 하는 개인식별장치.
  6. 제5항에 있어서, 기준구조모델이 소구획과 그 법선벡터로 정의된 입체모델이며, 소구획 마다의 법선벡터가 평균명도와 함께 검출되어 법선벡터 및 평균명도로 부터광원의 위치를 추정하는 것을 특징으로 하는 개인식별장치.
    ※ 참고사항 : 최초출원 내용에 의하여 공개하는 것임.
KR1019940704328A 1993-03-29 1994-03-28 개인식별장치 KR0158038B1 (ko)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
JP6960593 1993-03-29
JP93-69605 1993-03-29
PCT/JP1994/000493 WO1994023390A1 (en) 1993-03-29 1994-03-28 Apparatus for identifying person

Publications (2)

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KR950702051A true KR950702051A (ko) 1995-05-17
KR0158038B1 KR0158038B1 (ko) 1998-12-15

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US (2) US5995639A (ko)
KR (1) KR0158038B1 (ko)
CN (1) CN1045129C (ko)
WO (1) WO1994023390A1 (ko)

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CN1108035A (zh) 1995-09-06
KR0158038B1 (ko) 1998-12-15
WO1994023390A1 (en) 1994-10-13
US6181806B1 (en) 2001-01-30
CN1045129C (zh) 1999-09-15
US5995639A (en) 1999-11-30

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