| Summary: | 碩士 === 國立交通大學 === 電子研究所 === 100 === In this thesis, we propose a data-driven system that assists blind people to walk safely on the sidewalk. In our system, an assistant with normal vision is asked to create the database for the places where the blind user usually visits. At each sampling spot of these places, the assistant takes a few photos that cover different viewing directions around the sampling spot to create a panorama image. After the installation of the database, the blind user is equipped a camera while he or she is walking around these places. For each captured image by the camera, the proposed system finds the most similar panoramic part in the database to identify the location and the orientation of blind user. With an image-to-image matching to warp the labels from the matched panoramic part to the captured image, our system can roughly infer the labeling of the contents within the captured image. Finally, based on the inferred labels, our system can identify situations that could be dangerous to the blinds.
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