Intelligent identification method and device for baby sleep position
A technology for intelligent recognition and sleeping posture, applied in character and pattern recognition, instruments, calculations, etc., can solve the problems of lack of baby sleeping posture monitoring and recognition, baby catching cold or suffocating, etc.
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[0069] S16. Perform SIFT feature analysis on the sample matting. The specific steps are: find extreme points in the scale space, extract the position, scale, and rotation invariants. The implementation method is as follows:
[0070] ●Generation of scale space
[0071] The purpose of the scale space theory is to simulate the multi-scale characteristics of image data, and use the Gaussian convolution kernel to realize the scale transformation of the space. The scale space of the sample image is defined as:
[0072] L(x,y,σ)=G(x,yσ)*I(x,y) (6)
[0073] where G(x, y, σ) is a scale-variable Gaussian function.
[0074] G ( x , y , σ ) = 1 2 πσ 2 e - ( x 2 ...
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