KR970002750A - Face Recognition Method in Image Data - Google Patents
Face Recognition Method in Image Data Download PDFInfo
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- KR970002750A KR970002750A KR1019950016017A KR19950016017A KR970002750A KR 970002750 A KR970002750 A KR 970002750A KR 1019950016017 A KR1019950016017 A KR 1019950016017A KR 19950016017 A KR19950016017 A KR 19950016017A KR 970002750 A KR970002750 A KR 970002750A
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- velocity vector
- recognition method
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Abstract
본 발명은 영상자료에 있어서의 얼굴인식방법에 관한 것이다. 좀 더 구체적으로, 본 발명은 일련의 얼굴영상으로부터의 움직임 정보를 이용하여 효율적이면서 고속으로 얼굴인식을 수행할 수 있는 영상자료에 있어서의 얼굴인식방법에 관한 것이다. 본 발명에 따른 얼굴인식방법은 일정한 크기의 영역 내에서 얻어진 다수의 영상점의 공간 및 시간적인 변화율을 산출하는 미분과정(10); 전기한 미분과정(10)에 의해 산출된 변화율에 의거하여 가능한 다수의 속도벡터를 산출하고 가장 부합되는 속도벡터장을 결정하는 영상 속도벡터 산출과정(20); 전기 과정(20)에 의해 산출된 속도벡터장의 크기로부터 움직이는 영영과 움직이지 않는 배경을 구분하는 분리 과정(30); 및 전기 과정(30)에 의해 얻어진 분리결과로부터 타원 근사화법을 통하여 얼굴부의 경사정도를 파악하여 회전보정을 행하는 회전보정과정(40)을 포함한다. 본 발명의 얼굴인식방법은 조명이나 배경상태 등에 영향을 받지 않아 오류발생없이 얼굴인식을 수행할 수 있으며, 국부적인 연산에 의해서도 효율적이면서 고속으로 얼굴인식을 수행할 수 있는 등의 효과를 지니고 있다.The present invention relates to a face recognition method in video data. More specifically, the present invention relates to a face recognition method in image data capable of performing face recognition efficiently and at high speed by using motion information from a series of face images. The face recognition method according to the present invention includes a differential process (10) for calculating the spatial and temporal rate of change of a plurality of image points obtained in a region of a constant size; An image velocity vector calculation process (20) for calculating a plurality of velocity vectors based on the change rate calculated by the aforementioned differential process (10) and determining the most suitable velocity vector field; A separation process 30 for distinguishing the moving zero and the non-moving background from the magnitude of the velocity vector field calculated by the electric process 20; And a rotation correction process 40 which performs rotation correction by grasping the inclination degree of the face portion through the elliptic approximation method from the separation result obtained by the electric process 30. The face recognition method of the present invention is capable of performing face recognition without generating an error because it is not influenced by lighting or background state, and has an effect of performing face recognition at high speed even by local operation.
Description
본 내용은 요부공개 건이므로 전문내용을 수록하지 않았음Since this is an open matter, no full text was included.
제1도는 본 발명의 얼굴인식방법에 의한 얼굴인식시 사용되는 얼굴인식 시스템의 블럭구성도이다. 제2도는 본 발명에 따른 얼굴인식방법을 도식적으로 나타낸 흐름도이다.1 is a block diagram of a face recognition system used in face recognition by the face recognition method of the present invention. 2 is a flowchart schematically showing a face recognition method according to the present invention.
Claims (6)
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
KR1019950016017A KR970002750A (en) | 1995-06-16 | 1995-06-16 | Face Recognition Method in Image Data |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
KR1019950016017A KR970002750A (en) | 1995-06-16 | 1995-06-16 | Face Recognition Method in Image Data |
Publications (1)
Publication Number | Publication Date |
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KR970002750A true KR970002750A (en) | 1997-01-28 |
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ID=66524383
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
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KR1019950016017A KR970002750A (en) | 1995-06-16 | 1995-06-16 | Face Recognition Method in Image Data |
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KR (1) | KR970002750A (en) |
Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
KR100338473B1 (en) * | 1999-07-02 | 2002-05-30 | 조양호 | Face detection method using multi-dimensional neural network and device for the same |
KR100900284B1 (en) * | 2002-05-31 | 2009-05-29 | 엘지전자 주식회사 | Mobile terminal and Method for searching a phone number in thereof |
KR20120021821A (en) * | 2010-08-18 | 2012-03-09 | 주식회사 바이오스페이스 | Body composition analyzer had at least one camera |
-
1995
- 1995-06-16 KR KR1019950016017A patent/KR970002750A/en not_active Application Discontinuation
Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
KR100338473B1 (en) * | 1999-07-02 | 2002-05-30 | 조양호 | Face detection method using multi-dimensional neural network and device for the same |
KR100900284B1 (en) * | 2002-05-31 | 2009-05-29 | 엘지전자 주식회사 | Mobile terminal and Method for searching a phone number in thereof |
KR20120021821A (en) * | 2010-08-18 | 2012-03-09 | 주식회사 바이오스페이스 | Body composition analyzer had at least one camera |
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