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latent regression forest for hand pose estimation

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latent regression forest for hand pose estimation

This is an implemention of <<Latent Regression Forest: Structured Estimation of 3D Hand Posture>> Danhang Tang, Hyung Jin Chang*, Alykhan Tejani*, T-K. Kim, Proc. of IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), Columbus, Ohio, USA, 2014 (oral, acceptance rate=5.75%).

Achieving accurancy is a little higher than the paper.(about 95% when maxGT = 60mm)

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  • MATLAB 100.0%