SmartGuide: Towards Single-image Building Localization with Smartphone

We introduce SmartGuide, a light-weighted and efficient approach to localize and recognize a distant unknown building. Our approach relies on shooting only a single photo of a target building via a smartphone and a local 2D Google map. SmartGuide first extracts a partial top view contour of a building from its side-view photo by applying vanishing point and the Manhattan World Assumption, and then fetches a candidate building set from a local 2D Google map based on smartphone’s GPS readings. Partial top view shape, orientation and distance relative to the camera are used as input parameters in a probability model, which adversely recognizes the best candidate building in the local map. Our model is developed based on kernel density estimation that helps reduce noise in the smartphone sensors, such as GPS readings and camera ray direction reported by noisy accelerometer and compass. Experimental results demonstrate that our approach recognizes buildings ranging from 20m to 520m and ...

• Type: Journal
• Year: 2015
• Where: MOBIHOC
• Authors: Xi Xiong, Zheng Yang, Longfei Shangguan, Yun Fei, Milos Stojmenovic, Yunhao Liu
• Keywords: Computer Networks, MOBIHOC 2015