CVHCNov 18, 2023

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

arXiv:2311.10918v2h-index: 3
Originality Synthesis-oriented
AI Analysis

This work addresses architectural form-finding by integrating pose estimation, but it is incremental as it reviews and applies existing methods without introducing new techniques.

The paper reviews 6D pose estimation methods, particularly Gen6D, for architectural design scenarios, assessing their application-level performance and limitations, and explores combining pose estimation with wind environment assessment to create a tangible design approach.

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.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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