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Edition:Final Research Report
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Abstract:This project is to develop an assistive technology for the people with vision disabilities of central field loss (CFL) and low contrast sensitivity (LCS). This technology includes a pair of super-reality (SR) glasses with enhanced image contrast, for example, highlighting objects, detect signs, and lanes. The authors call the technology “super-reality” because it provides more details than what the user can see, for example, thermal image and contours of pedestrians. In contrast to prevailing Augmented Reality (AR) and Virtual Reality (VR) technologies, which project either mixed reality objects or virtual objects to the glasses, Super Reality (SR) fuses real-time sensory information and enhance image from the reality. The tasks of the project include: first, survey of the state-of-the-art of low vision rehabilitation technologies and training procedures, the interface between the super-reality glasses and the bioptic telescope spectacles (BTS) and other existing rehabilitation devices. Second, the authors developed computer vision algorithms for enhancing contrast sensitivities with object detection of signs, lanes, pedestrians and vehicles with coded color edge enhancement, warning symbols, and audio signals. Third, the authors designed and implemented the holographic overlay algorithm to align the highlighted information with actual objects on screen.
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