Face image detecting method, face image detecting system and face image detecting program
First Claim
1. A face image detecting method for detecting whether a face image exists in a detection target image comprising:
- after selecting a specific area within the detection target image as a detection target area;
calculating an edge strength within the selected detection target area;
dividing the detection target area into a plurality of blocks based on the calculated edge strength;
calculating feature vectors including a representative value in each block; and
thereafter determining whether the face image exists in the detection target area by inputting the feature vectors into a discriminator.
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Abstract
A face image detecting method, detecting system and detecting program are provided. After dividing the detection target area into a plurality of blocks and dimensionally compressing the area, feature vectors including a representative value in each block are calculated and then a discriminator detects whether the face image exists or not in the detection target area by using the feature vectors. The discriminator detects after an image feature quantity is dimensionally compressed to the extent of not damaging the feature of face image. Since the number of image feature items to be used for discrimination is substantially reduced from the number of pixels within the detection target area to that of blocks, the number of operations drastically decreases and a face image can be quickly detected.
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Citations
15 Claims
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1. A face image detecting method for detecting whether a face image exists in a detection target image comprising:
after selecting a specific area within the detection target image as a detection target area;
calculating an edge strength within the selected detection target area;
dividing the detection target area into a plurality of blocks based on the calculated edge strength;
calculating feature vectors including a representative value in each block; and
thereafter determining whether the face image exists in the detection target area by inputting the feature vectors into a discriminator. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8)
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9. A face image detecting system for detecting whether a face image exists in a detection target image in which it is unclear whether the face image is included comprising:
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an image scanning part for scanning a specific area within the detection target image as a detection target area;
a feature vector calculating part for calculating feature vectors including a representative value in each block by dividing the detection target area scanned in the image scanning part into a plurality of blocks; and
a discriminating part for discriminating whether the face image exists in the detection target area based on the feature vectors including a representative value in each block obtained in the feature vector calculating part. - View Dependent Claims (10, 11)
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12. A face image detecting program for detecting whether a face image exists in a detection target image in which it is unclear whether the face image is included, making a computer function as:
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an image scanning part for scanning a specific area within the detection target image as a detection target area;
a feature vector calculating part for calculating feature vectors including a representative value in each block by dividing the detection target area scanned in the image scanning part into a plurality of blocks; and
a discriminating part for discriminating whether the face image exists in the detection target area based on the feature vectors including a representative value in each block obtained in the feature vector calculating part. - View Dependent Claims (13, 14)
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15. A face image detecting method for detecting whether a face image exists in a detection target image comprising:
after selecting a specific area within the detection target image as a detection target area;
calculating a luminance within the selected detection target area;
dividing the detection target area into a plurality of blocks based on the calculated luminance;
calculating feature vectors including a representative value in each block; and
thereafter determining whether the face image exists in the detection target area by inputting the feature vectors into a discriminator.
Specification