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Found 3 papers, 0 papers with code
A Dual-Source Approach for 3D Human Pose Estimation from a Single Image
To this end, we first convert the motion capture data into a normalized 2D pose space, and separately learn a 2D pose estimation model from the image data.
Ranked #37 on
Monocular 3D Human Pose Estimation
on Human3.6M
Efficient Unsupervised Temporal Segmentation of Motion Data
We introduce a method for automated temporal segmentation of human motion data into distinct actions and compositing motion primitives based on self-similar structures in the motion sequence.
A Dual-Source Approach for 3D Pose Estimation from a Single Image
To integrate both sources, we propose a dual-source approach that combines 2D pose estimation with efficient and robust 3D pose retrieval.
Ranked #22 on
3D Human Pose Estimation
on HumanEva-I
