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

Fuente: arXiv
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Main Author: Huang, Zixun
Format: Preprint
Published: 2023
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author Huang, Zixun
author_facet Huang, Zixun
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2311_10918
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Jenga Stacking Based on 6D Pose Estimation for Architectural Form Finding Process
Huang, Zixun
Computer Vision and Pattern Recognition
Human-Computer Interaction
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.
title Jenga Stacking Based on 6D Pose Estimation for Architectural Form Finding Process
topic Computer Vision and Pattern Recognition
Human-Computer Interaction
url https://arxiv.org/abs/2311.10918