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This paper presents the generative image processing model for extracting themes from aerial imagery. We model image as a collection of themes and each theme as a collection of objects. We learn urban themes using unsupervised Latent Dirichlet Allocation. Further, we use the learned topic (theme) model directly to infer some of the important parameters of facility management. On a test dataset of the...
Background: We developed a low cost virtual reality [VR] platform using recent substantial advancements in the VR field (namely, Oculus Rift and Vive HTC headsets). Our novel platform comprehensively targets sensory integration for postural control in a manner that is salient and specific to the individual while being affordable, portable and clinically applicable. We aimed to establish the feasibility...
Technology such as GPS equipped smart phones and voice commands have opened up navigation for users who are blind. However performing activities that others take for granted, such as crossing the street, is still an intense experience. Not all crosswalks are marked, drivers may not be paying attention, and noisy city environments may prevent any types of sonic feedback from being understood. This...
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