Apparatus, method, and medium for detecting face in image using boost algorithm
First Claim
1. An apparatus for detecting a face in an image using classifiers generated by a boost algorithm, the apparatus comprising:
- an image dividing unit dividing a black and white image into sub-windows;
a sub-window detection unit detecting a sub-window corresponding to a face image in the divided sub-windows using a front part of a cascade of the classifiers and storing the sub-window detected as the face image; and
a post-processing unit verifying whether each of sub-windows included in a group among a plurality of groups into which stored sub-windows are grouped is the face image using the number of child detections in each group and a latter part of the cascade of the classifiers, integrating the sub-windows in the group according to the result of the verification, and outputting the result of the integration as the face image included in the black and white image, wherein the number of child detections is the number of sub-windows included in a group.
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Accused Products
Abstract
An apparatus, method, and medium for detecting a face in an image using classifiers generated by a boost algorithm are provided. The apparatus may include an image dividing unit dividing a black and white image into sub-windows; a sub-window detection unit detecting a sub-window corresponding to a face image in the divided sub-windows using the front part of the cascade of the classifiers and storing the sub-window detected as the face image; and a post-processing unit verifying whether each of sub-windows included in a group among a plurality of groups into which stored sub-windows are grouped is the face image using the number of child detections in each group and the latter part of the cascade of classifiers, integrating the sub-windows in the group according to the result of the verification, and outputting the result of the integration as the face image included in the black and white image, wherein the number of child detections is the number of sub-windows included in a group. Accordingly, a false detection rate can be decreased while a detection rate is increased. As a result, the accuracy of face detection can be increased.
84 Citations
27 Claims
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1. An apparatus for detecting a face in an image using classifiers generated by a boost algorithm, the apparatus comprising:
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an image dividing unit dividing a black and white image into sub-windows;
a sub-window detection unit detecting a sub-window corresponding to a face image in the divided sub-windows using a front part of a cascade of the classifiers and storing the sub-window detected as the face image; and
a post-processing unit verifying whether each of sub-windows included in a group among a plurality of groups into which stored sub-windows are grouped is the face image using the number of child detections in each group and a latter part of the cascade of the classifiers, integrating the sub-windows in the group according to the result of the verification, and outputting the result of the integration as the face image included in the black and white image, wherein the number of child detections is the number of sub-windows included in a group. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15)
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16. A method of detecting a face in an image using classifiers generated by a boost algorithm, the method comprising the operations of:
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(a) dividing a black and white image into sub-windows;
(b) detecting sub-windows corresponding to a face image in the divided sub-windows using a front part of a cascade of the classifiers and storing the sub-windows detected as the face image; and
(c) verifying whether each of sub-windows included in a group selected from among the plurality of groups into which the stored sub-windows are grouped is the face image using the number of child detections in each group and a latter part of the cascade of the classifiers, integrating the sub-windows in the group according to the result of the verification, and determining the result of the integration as the face image included in the black and white image, wherein the number of child detections is the number of sub-windows included in a group. - View Dependent Claims (17, 18, 19, 20, 21, 22, 23)
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24. At least one computer readable medium for storing instructions that control at least one processor which executes a method of detecting a face in an image using classifiers generated by a boost algorithm, wherein the method comprises:
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(a) dividing a black and white image into sub-windows;
(b) detecting sub-windows corresponding to a face image in the divided sub-windows using a front part of a cascade of the classifiers and storing the sub-windows detected as the face image; and
(c) verifying whether each of sub-windows included in a group selected from among the plurality of groups into which the stored sub-windows are grouped is the face image using the number of child detections in each group and a latter part of the cascade of the classifiers, integrating the sub-windows in the group according to the result of the verification, and determining the result of the integration as the face image included in the black and white image, wherein the number of child detections is the number of sub-windows included in a group. - View Dependent Claims (25, 26, 27)
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Specification