Abstract
Disclosed is a two step process for automatically finding a human face in an electronically digitized image (for example, taken by handheld digital cameras and digital video-cameras such as cam-corders), and for confirming the existence of the face by examining facial features. Step 1 is to detect the human face and is accomplished in stages that include enhancing the digital image with a blurring filter and edge enhancer in order to better set forth the unique facial features such as wrinkles, and curved shapes of a facial image. After prefiltering, preselected curves sometimes referred to as snakelets are dropped on the image where they become aligned to the natural wrinkles and curves of a facial image. Step 2 is to confirm the existence of the human face in seven stages by finding facial features of the digital image encompassing the chin, sides of the face, virtual top of the head, eyes, mouth and nose of the image. Ratios of the distances between these found facial features can b
Document Type
Patent
Patent Number
US 5,835,616
Application Serial Number
08/261,947
Issue Date
11-10-1998
Current Assignee
UCFRF
Assignee at Issuance
UCFRF
College
College of Engineering and Computer Science (CECS)
Department
Computer Science
Allowance Date
6-4-1996
Filing Date
6-17-1994
Assignee at Filing
UCFRF
Filing Type
Nonprovisional Application Record
Donated
no
Recommended Citation
Da Vitoria Lobo, Niels and Kwon, Young Ho, "Face Detection Using Templates" (1998). UCF Patents. 182.
https://stars.library.ucf.edu/patents/182