Open Access. Powered by Scholars. Published by Universities.®
Articles 1 - 3 of 3
Full-Text Articles in Architecture
Getting A Handle On Floor Plan Analysis - Door Classification In Floor Plans And A Survey On Existing Datasets, João David, António Leitão
Getting A Handle On Floor Plan Analysis - Door Classification In Floor Plans And A Survey On Existing Datasets, João David, António Leitão
Architecture and Planning Journal (APJ)
Floor plan interpretation and reconstruction is crucial to enable the transformation of drawings to 3D models or different digital formats. It has recently taken advantage of neural-based architectures, especially in the semantic segmentation field. These techniques perform better than traditional methods, but the results depend mainly on the data used to train the networks, which is often crafted for the specific task being performed, making it hard to reuse for different purposes. In this paper, we conduct a literature survey on the existing datasets for floor plan analysis, and we explore how information regarding door placement and orientation can be …
Gestural Design - Hand Tracking For Digital Drawing, Jordan A. Kanter, Kamil Quinteros
Gestural Design - Hand Tracking For Digital Drawing, Jordan A. Kanter, Kamil Quinteros
Architecture and Planning Journal (APJ)
Computational design is increasingly interested in the active feedback between the user/designer and the digital space. Often, our initial instinct as designers comes from a gesture, a movement of the hands that gets translated into sketches and 3D models via the tools available to us. While the physical realm allows for muscle memory, tactile feedback, and creative output via movement, digital design often negates the body of the designer as it sequesters us into a screen-mouse-hand relationship. Moreover, current CAD software tools often reinforce this standardization, further limiting the potential of physical bodily gestures as a vehicle for architectural form-making. …
Generating Mass Housing Plans Through Gans - A Case In Toki, Turkey, Gi̇zem Özerol Özman, Semra Arslan Selçuk
Generating Mass Housing Plans Through Gans - A Case In Toki, Turkey, Gi̇zem Özerol Özman, Semra Arslan Selçuk
Architecture and Planning Journal (APJ)
Nowadays, Machine Learning (ML) is frequently used in almost all disciplines having an intersection with technology. Recently, architects are using existing plan data sets in architecture through Deep Learning (DL) algorithms of big data to achieve generative and non-existent plan models by using ML. Especially, Generative Adversarial Neural Networks (GANs), one of the deep learning algorithms, have been in use in the creation of generative models for architectural studies. Within the scope of this paper, architectural drawings were generated by using GANs. This generation method allows for the training of spatial layout planning to networks and for the generation of …