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In this paper, we create a virtual character that interacts with human player in a sword-fighting task. The data taken from a human player waving a stick as the 'sword' is mapped into the virtual environment, and the result of the collision detection during the virtual interaction is used as a reward for the reinforcement learning. We train a Q-network that animates the virtual character by rotating...
In this paper, we propose a method to estimate head pose with convolutional neural network, which is trained on synthetic head images. We formulate head pose estimation as a regression problem. A convolutional neural network is trained to learn head features and solve the regression problem. To provide annotated head poses in the training process, we generate a realistic head pose dataset by rendering...
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