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Regression based methods are not performing as well as detection based methods for human pose estimation. A central problem is that the structural information in the pose is not well exploited in the previous regression methods. In this work, we propose a structure-aware regression approach. It adopts a reparameterized pose representation using bones instead of joints. It exploits the joint connection...
With a view to dealing with three dimensional (hereafter referred to simply as 3D) model of indoor environment based on RGB-D data, this study proposes a method of simultaneous localization and mapping of the mobile sensor. By using the color data and depth data collated from the sensor to produce 3D point cloud data of each frame, and this study uses siftGPU to extract and match the feature points...
Effective user training could help us to improve the discrimination performance of our intention in brain computer interface (BCI). This paper aims to differentiate users left or right hand motor imagery (MI) tasks with different scenarios in 3D virtual environment, as non-object-directed (NOD) scenario, static-object-directed (SOD) scenario and dynamic-object-directed (DOD) scenario respectively...
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