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Virtual reality (VR) technology allows users to communicate or interact with a virtual artifact in an immersive simulated environment. Most of the existing virtual reality platform uses standard input devices such as a keyboard and mouse, or through multimodal devices such as a wired glove. In this paper, a novel electroencephalo-graph (EEG) based virtual driving (EEG-VD) prototype is proposed, investigated,...
In this paper, a novel electroencephalographic (EEG) based mind controlled virtual-human obstacle-avoidance platform (EEG-MC-VHOAP) is designed to improve brain computer interface (BCI) systems and offer a new game. With the EEG-MC-VHOAP, subjects can use their brain signals to control a virtual human to have a training of avoiding obstacles in a three dimensional (3D) environment. The EEG-MC-VHOAP...
Image stitching with large parallax has long been an important and challenging issue in computer graph and vision. Most studies focused on finding the best-fitting homography to align and seam the input images. Images with large parallax can not be mapped over the whole overlapping regions or aircrafts like ghosting and distortion may occur. In this paper, We combine the global 2D homography method...
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