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Towards efficient mobile image-guided navigation through removal of outliers
2016
EURASIP Journal on Image and Video Processing
A novel approach for positioning using smartphones and image processing techniques is developed. Using structure from motion, 3D reconstructions of given tracks are created and stored as sparse point clouds. Query images are matched later to these 3D models. High computational costs of image matching and limited storage require compressing point clouds without loss of positioning performance. In this work, localization is improved and memory and storage requirements are minimized. We assumed
doi:10.1186/s13640-016-0146-1
fatcat:lygx5cyjunej3fvdq3mysoqofm