Apparatus for identifying a person using facial features

• US 6,181,806 B1
• Filed: 05/26/1999
• Issued: 01/30/2001
• Est. Priority Date: 03/29/1993
• Status: Expired due to Term

• Current Assignee: Matsushita Electric Industrial Company Limited (Panasonic Holdings Corporation)
• Original Assignee: Matsushita Electric Industrial Company Limited (Panasonic Holdings Corporation)
• Inventors: Kado, Yoshiyasu, Nobori, Kunio, Nakagawa, Masamichi
• Primary Examiner(s): Mancuso, Joseph
• Assistant Examiner(s): Patel, Jayanti K.
• Application Number:
  US09/318,823
• Time in Patent Office: 615 Days
• Field of Search: 382/100, 382/115, 382/117, 382/118, 382/154, 382/155, 382/195, 382/171, 382/274, 382/285, 382/308, 345/419-429, 345/432, 434/155, 902/5-6
• US Class Current: 382/118
• CPC Class Codes: G06V 40/166 using acquisition arrangements
• CPC Class Codes: G06V 40/168 Feature extraction; Face representation
• CPC Class Codes: G06V 40/171 Local features and components; Facial parts eye characteristics G06V40/18; Occluding parts, e.g. glasses; Geometrical relationships

Abstract

The present invention inputs a face image through an image input section, extracts feature points of face components such as an eye, nose, mouth from the input face image, and divides the face image into many patches according to predetermined rules to describe the face image as a set of patches. Then the present invention extracts a feature amount for each patch to describe the face image as a set of feature amounts to identify a person.

Claims

1. An apparatus for identifying persons comprising:

an image input section that inputs a personal face image of a person to be identified;

an image memory section that stores the personal face image input by said image input section;

a feature points extracting section that extracts predefined feature points from the personal face image stored in said image memory section;

a feature amounts extracting section that divides the personal face image into small triangles based on the extracted feature points according to a predefined rule, thereby describing the personal face image as a set of the small triangles and extracts each difference in an average brightness between adjacent two small triangles as a feature amount; and

a judgment section that calculates distances between the feature amounts extracted by said amounts extracting section and feature amounts extracted beforehand with respect to each person to be identified and judges whether the person having said personal face image input by said image input section is the person to be identified.

2. The apparatus according to claim 1, wherein said feature amounts extracting section comprises:

a standard structure model that describes a presumed standard face as a set of small triangles defined on the basis of standard feature points predefined with respect to said standard face; and

a structure model adjustment section that deforms the standard structure model based on the feature points extracted by said feature points extracting section so as to match the personal face image with the deformed standard structure model.

3. The apparatus according to claim 2, wherein the standard structure model is a three-dimensional model defined by small triangles and their normal vectors,

wherein the normal vector of each small triangle is detected together with an average brightness of each small triangle;

and

wherein a position of a light source for illuminating a personal face relative to the psersonal face is estimated based on the detected normal vectors and average brightnesses.

4. The apparatus according to claim 1, wherein a position of a light source for illuminating a personal face relative to the personal face is estimated based on a distribution of the average brightnesses of small triangles and each average brightness is corrected based on the estimated position of the light source.