April 1, 2024, 4:44 a.m. | Bo Wang, Jian Li, Yang Yu, Li Liu, Zhenping Sun, Dewen Hu

cs.CV updates on arXiv.org arxiv.org

arXiv:2403.19924v1 Announce Type: new
Abstract: Considering the complementarity of scene flow estimation in the spatial domain's focusing capability and 3D object tracking in the temporal domain's coherence, this study aims to address a comprehensive new task that can simultaneously capture fine-grained and long-term 3D motion in an online manner: long-term scene flow estimation (LSFE). We introduce SceneTracker, a novel learning-based LSFE network that adopts an iterative approach to approximate the optimal trajectory. Besides, it dynamically indexes and constructs appearance and …

arxiv cs.cv flow long-term network type

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