HEMlets PoSh: Learning Part-Centric Heatmap Triplets for 3D Human Pose and Shape Estimation
IEEE Transactions on Pattern Analysis and Machine Intelligence(2022)
Abstract
Estimating 3D human pose from a single image is a challenging task. This work attempts to address the uncertainty of lifting the detected 2D joints to the 3D space by introducing an intermediate state - Part-Centric Heatmap Triplets (HEMlets), which shortens the gap between the 2D observation and the 3D interpretation. The HEMlets utilize three joint-heatmaps to represent the relative depth...
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Key words
Three-dimensional displays,Two dimensional displays,Heating systems,Pose estimation,Task analysis,Training,Shape
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