Method and apparatus for red-eye detection in an acquired digital image using face recognition

• US 20060093238A1
• Filed: 07/15/2005
• Published: 05/04/2006
• Est. Priority Date: 10/28/2004
• Status: Abandoned Application

• Current Assignee: Eran Steinberg, Florin Nanu, Petronel Bigioi, Yury Prilutsky
• Original Assignee: Eran Steinberg, Florin Nanu, Petronel Bigioi, Yury Prilutsky
• Inventors: Steinberg, Eran, Prilutsky, Yury, Bigioi, Petronel, Nanu, Florin
• Application Number:
  US11/182,718
• Publication Number:
  US 20060093238A1
• Time in Patent Office: Days
• US Class Current: 382/275
• CPC Class Codes: G06T 2207/30216 Redeye defect
• CPC Class Codes: G06T 7/90 Determination of colour characteristics
• CPC Class Codes: G06V 40/193 Preprocessing; Feature extraction

Abstract

A method for red-eye detection in an acquired digital image comprises acquiring a first image and analysing the first acquired image to provide a plurality of characteristics indicative of image quality. The analysing step may also include recognizing one or more faces or types of face in the first acquired image, and performing the correction accordingly. The process then determines if one or more corrective processes can be beneficially applied to the first acquired image according to the characteristics. Any such corrective processes are then applied to the first acquired image. Red-eye defects are then detected in a second acquired image using the corrected first acquired image. Defect detection can comprise applying a chain of one or more red-eye filters to the first acquired image. In this case, prior to the detecting step, it is determined if the red-eye filter chain can be adapted in accordance with the plurality of characteristics: and the red-eye filter is adapted accordingly.

Claims

1. A method for red-eye detection in an acquired digital image comprising the steps of:

a) acquiring a first image;

b) analysing the first acquired image to provide a plurality of characteristics of an image;

c) determining if one or more corrective processes can be beneficially applied to said first acquired image according to said characteristics;

d) applying any such corrective processes to said first acquired image; and

e) detecting red-eye defects in a second acquired image using said corrected first acquired image.

2-52. -52. (canceled)