Image processing method for positioning eyes
An image processing and eye positioning technology, which is applied in the fields of pattern recognition and computer vision, can solve the problems of unrobust scale scaling and translation transformation, difficult to achieve accurate human eye positioning, and complex human eye appearance, so as to reduce scale changes , reduce the impact, eliminate the effect of interference
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[0041] The first step: use the face detector to detect the face, obtain the approximate position and size of the face image captured by the camera, and intercept the face, and then normalize the scale to a uniform size of 100 pixels × 100 pixels. Finally, the DoG (Difference of Gaussian) filter can be used for lighting preprocessing, and lighting compensation can be used to eliminate the influence of abnormal lighting as much as possible while retaining a large number of detailed texture features. The effect is as follows: image 3 shown.
[0042]The second step: Candidate point screening. For the three components of the two eyes and the nose, the appearance model of the probabilistic support vector machine is established respectively. Several key issues are involved: 1) the selection of the image block size of human eyes and nose. For the three components of human eyes and nose, the size of the block has a great influence on the localization performance under a fixed face i...
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