An image processing method and device thereof
An image processing and image technology, applied in the field of image processing, can solve the problems of unsuitable real-time calculation, huge amount of calculation, large difference in results, etc., and achieve the effect of improving the recognition pass rate and enriching the recognition methods.
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Embodiment 1
[0033] This embodiment provides an image processing method, and the method is applied to an image processing device; specifically, as figure 1 As shown, the method includes:
[0034] Step 101: Determine an image set; the image set includes a first image corresponding to each head pose of at least two head poses of the first object;
[0035] specifically, figure 2 It is a schematic diagram of the first images of different head postures of the first target contained in the image set according to the embodiment of the present invention; figure 2 As shown, the image set contains four head-oriented first images for the first target object, which are the first image-1 with the head facing up, the first image-2 with the head facing down, and the first image-2 with the head facing down. The first image-3 with the head facing left and the first image-4 with the head facing right. Here, in practical applications, the elements in the image set are represented by the vectors of the f...
Embodiment 2
[0049] Based on the method described in Embodiment 1, this embodiment provides a method for determining pose matching model groups and head recognition model groups based on correlation filter technology; here, the correlation filter technology is derived from correlation operations, so The correlation operation described above is an operation to calculate the similarity between two models; for example, suppose there are two pictures R and T, and they are defined as two modes in two dimensions, namely R(x,y) and T (x,y), the correlation operation between two modes is: (T*R)(x,y)=∫∫T(x,y)R(x-Γ x ,y-Γ y )dΓ x dΓ y ; Convert the two modes to the frequency domain and use R(x, y) as a filter, then the correlation operation can be considered as filtering T(x, y) with the R(x, y) filter, that is, the correlation filter. Due to the advantages of time-shift invariance, good degeneration and closed-form solution, the correlation filter has been effectively applied in face recognitio...
Embodiment 3
[0054] Based on the method described in Embodiment 1, this embodiment also provides a method for determining a pose matching model group and a head recognition model group based on correlation filter technology. That is, according to the HOG features and Gabor features under the same head pose of different objects (taking the first object and the second object as an example), the pose matching model group and the head recognition model group are respectively determined.
[0055] Specifically, acquire the posture features corresponding to each of the at least two head postures corresponding to the second target body, and the local features of the head details under the head posture; according to the corresponding head postures for each head posture The posture features of the first target body and the second target body (this posture feature can be determined based on correlation filter technology), determine the posture matching model for identifying the head posture of the det...
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