Image-Based Camera Localization Algorithm for Smartphone Cameras Based on Reference Objects
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Image‑Based Camera Localization Algorithm for Smartphone Cameras Based on Reference Objects Fazliddin Jabborov1 · Jinsoo Cho1
© Springer Science+Business Media, LLC, part of Springer Nature 2020
Abstract Navigating an individual in both outdoor and indoor environments would provide great facilities for the community. Image-based approaches are more affordable and feasible in comparison to the high cost of sensor devices and unavailability of guiding by GPS in indoor systems. Thus, we develop our system using cameras owing to their easy availability and accessibility. Primarily, detecting the location of personnel is needed to orientate a human. However, determining camera localization is a challenging task on the computer vision field. Therefore, in this study, a novel approach is proposed to address the problem using panoramic image sequences. We apply the scale invariant future transform for detecting corresponding points, and based on these points, a reference object is considered. The Levenberg–Marquardt optimization method is utilized to minimize reprojection errors for a given pair of images. As a better alternative to traditional methods, which apply the known surface of a reference object, our formulation rests on the scale ambiguity in different coordinate systems. Experiments are performed on Herz-Jesus-P8, Fountain-P11, and Fountain-P25 datasets to evaluate our dataset and compare our proposal with respect to prior works. We believe our proposal comparatively outperforms previous works indicating lower error rate in wide baselines between camera pairs. Keywords Sensors · Camera localization · Baseline · Scale estimation
1 Introduction The notable construction of smart cities with a copious population has induced problems such as navigation and determining a path to a destination. To help direct people, labels and maps of buildings are put up on building walls. This facilitates users to easily navigate to their destination in indoor and outdoor environments. However, often, owing to the unsound estimation of location by navigation systems (NSs), users run into misconceptions. * Fazliddin Jabborov [email protected] Jinsoo Cho [email protected] 1
Department of IT Convergence Engineering, Gachon University, 1342 Seongnamdaero, Sujeong‑gu, Seongnam‑si, Gyeonggi‑do 13120, Korea
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F. Jabborov, J. Cho
As part of the development of up-to-date technologies in artificial intelligence and sensor-based appliances, scholars attempt to create substitutes that can serve in diminishing the estimation time of a particular location. Determining an exact location, indoors and outdoors, is a significant obstacle that people often face. Devices which is aptitude to detect for a location will enable precisely navigate to the destination. NSs, such as Wi-Fi, beacons, Bluetooth, and global positioning systems (GPSs) can guide one to find their way in places, such as shopping malls, libraries, railway stations, and airport terminals. NSs can reduce the time spent by people in searching for
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