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18 November 2019 Light field SLAM based on ray-space projection model
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Abstract
Pose estimation is the key step of simultaneous localization and mapping (SLAM). The relationship between the rays captured by multiple light field cameras can provide more constraints for pose estimation. In this paper, we propose a novel light field SLAM (LF-SLAM) based on ray-space projection model, including visual odometry, optimization, loop closing and mapping. Unlike traditional SLAM, which estimates pose based on point-point correspondence, we firstly utilize ray-space features to initialize camera motion based on light field fundamental matrix. In addition, a ray-ray cost function is presented to optimize camera pose and 3D points. Finally, we exhibit the motion map and 3D reconstruction results from a moving light field camera. Experimental results have verified the effectiveness and robustness of the proposed method.
© (2019) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yaning Li, Qi Zhang, Xue Wang, and Qing Wang "Light field SLAM based on ray-space projection model", Proc. SPIE 11187, Optoelectronic Imaging and Multimedia Technology VI, 1118706 (18 November 2019); https://doi.org/10.1117/12.2538016
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