tags: Human pose estimation
Heatmap and vectormap generation in human bone critical point detection
A review:
human skeleton key point detection has been very mature, paper reference Cao Zhe Great God, can know the way of its bottom-up paper, and the detection of the human skeleton key points.
way as the difference between the top-down manner is relatively large, top-down manner is first detected body, a return key bones in the human body coordinate area.
key while using the bottom-up approach of the hot keys and FIGS vector manner.
For example, a total of 16 keys (MPII data set), heat is generated in FIG. 16 channels (the size of the heat FIG. 64 * 64), each distribution channel of a joint of FIG heat (i.e. probability FIG. ). By way of a Gaussian function generation.
If the right side shown in FIG red cross is a critical point, assuming that the size of the resulting heat FIG size consistent with the original image, the generated heat is generated FIG probability central region into a Gaussian distribution, in the region of the respective coordinates as FIG. the maximum value closest to 1, the more, the smaller the probability to four weeks.
FIG maximum probability intermediate region, substantially close to 1, the edge gradually decreases
Takes the maximum value in response topositionIt is the key point coordinates
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