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Vox-Fusion: Dense Tracking and Mapping with Voxel-based Neural Implicit Representation. (arXiv:2210.15858v1 [cs.CV])
Oct. 31, 2022, 1:14 a.m. | Xingrui Yang, Hai Li, Hongjia Zhai, Yuhang Ming, Yuqian Liu, Guofeng Zhang
cs.CV updates on arXiv.org arxiv.org
In this work, we present a dense tracking and mapping system named
Vox-Fusion, which seamlessly fuses neural implicit representations with
traditional volumetric fusion methods. Our approach is inspired by the recently
developed implicit mapping and positioning system and further extends the idea
so that it can be freely applied to practical scenarios. Specifically, we
leverage a voxel-based neural implicit surface representation to encode and
optimize the scene inside each voxel. Furthermore, we adopt an octree-based
structure to divide the scene …
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