Improved cascaded regression face feature point positioning algorithm
A cascade regression, face feature technology, applied in computing, computer parts, image data processing and other directions, can solve problems such as face alignment failure
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[0016] Regression-based face alignment algorithms predict the coordinates of faces by iteratively updating the initial shape by learning a regression function that directly maps image appearance to target output. The quality of the initial shape has a significant impact on the final alignment accuracy. The algorithm typically uses an average human face as an initial shape, or randomly picks a shape from training images during testing. Due to large occlusions and pose variations, poor initial shapes may lead to local optima for face alignment. And these sparse point sets (5-point coordinates) are the most prominent points on the face, which can achieve good performance even in changes in occlusion, pose and expression, so these 5 feature points can approximate the face shape and pose .
[0017] The system implementation method of the present invention is described in detail below in conjunction with accompanying drawings and specific exa...
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