March 25, 2024, 4:45 a.m. | Jiaqi Yang, Yucong Chen, Xiangting Meng, Chenxin Yan, Min Li, Ran Cheng, Lige Liu, Tao Sun, Laurent Kneip

cs.CV updates on arXiv.org arxiv.org

arXiv:2308.08856v3 Announce Type: replace
Abstract: Recently there has been a growing interest in category-level object pose and size estimation, and prevailing methods commonly rely on single view RGB-D images. However, one disadvantage of such methods is that they require accurate depth maps which cannot be produced by consumer-grade sensors. Furthermore, many practical real-world situations involve a moving camera that continuously observes its surroundings, and the temporal information of the input video streams is simply overlooked by single-view methods. We propose …

abstract arxiv constraints consumer cs.cv however images maps object rgb-d robust rope sensors type view

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