Zelun Luo

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We propose a viewpoint invariant model for 3D human pose estimation from a single depth image. To achieve viewpoint invariance, our deep discriminative model embeds local regions into a learned viewpoint invariant feature space. Formulated as a multi-task learning problem , our model is able to selectively predict partial poses in the presence of noise and(More)
We propose a viewpoint invariant model for 3D human pose estimation from a single depth image. To achieve this, our discrimina-tive model embeds local regions into a learned viewpoint invariant feature space. Formulated as a multi-task learning problem, our model is able to selectively predict partial poses in the presence of noise and occlusion. Our(More)
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