OmniFlow is a synthetic omnidirectional human optical flow dataset. Based on a rendering engine the authors created a naturalistic 3D indoor environment with textured rooms, characters, actions, objects, illumination and motion blur where all components of the environment are shuffled during the data capturing process. The simulation has as output rendered images of household activities and the corresponding forward and backward optical flow. The dataset consists of 23,653 image pairs and corresponding forward and backward optical flow.
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