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Computer Science > Computer Vision and Pattern Recognition

arXiv:2311.10918 (cs)
[Submitted on 18 Nov 2023 (v1) , last revised 1 Jul 2025 (this version, v2)]

Title: Jenga Stacking Based on 6D Pose Estimation for Architectural Form Finding Process

Title: 基于6D姿态估计的Jenga堆叠在建筑形式寻找过程中的应用

Authors:Zixun Huang
Abstract: This paper includes a review of current state of the art 6d pose estimation methods, as well as a discussion of which pose estimation method should be used in two types of architectural design scenarios. Taking the latest pose estimation research Gen6d as an example, we make a qualitative assessment of the current openset methods in terms of application level, prediction speed, resistance to occlusion, accuracy, resistance to environmental interference, etc. In addition, we try to combine 6D pose estimation and building wind environment assessment to create tangible architectural design approach, we discuss the limitations of the method and point out the direction in which 6d pose estimation is eager to progress in this scenario.
Abstract: 本文包括对当前6d位姿估计方法的研究现状的综述,以及对在两种建筑设计方案中应使用哪种位姿估计方法的讨论。 以最新的位姿估计研究Gen6d为例,我们从应用层次、预测速度、抗遮挡能力、准确性、抗环境干扰能力等方面对当前开放集方法进行了定性评估。 此外,我们尝试将6D位姿估计与建筑风环境评估相结合,创建切实可行的建筑设计方法,我们讨论了该方法的局限性,并指出了在此场景中6d位姿估计亟待进步的方向。
Subjects: Computer Vision and Pattern Recognition (cs.CV) ; Human-Computer Interaction (cs.HC)
Cite as: arXiv:2311.10918 [cs.CV]
  (or arXiv:2311.10918v2 [cs.CV] for this version)
  https://doi.org/10.48550/arXiv.2311.10918
arXiv-issued DOI via DataCite

Submission history

From: Zixun Huang [view email]
[v1] Sat, 18 Nov 2023 00:15:53 UTC (6,312 KB)
[v2] Tue, 1 Jul 2025 21:53:55 UTC (5,305 KB)
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