Abstract
The topic of this paper is about a technique to turn pictures into an intuitively modifiable 3D model. The research employs an analytical method using algorithms to conceptualise and digitalise architectural spaces in order to highlight parametric shapes. Usually, from one group of digital photos, photogrammetry techniques produce a 3D-model mesh through a high-density 3D point cloud. This discordance between our intuitive partitioning of the mesh and its bare polygonal structure makes it interact poorly compared to the affordance of shape and component in our daily experience. Through a capture device, a visualisation of architecture in a digital data form is produced. They are processed by computer vision algorithms and machine learning systems in order to be refined into a parametric model. Parametric elements can be described as a compound of formulas and parameters. By keeping the formula and changing the parameters, these elements can be easily modified in a range of likenesses. After being detected during scans, these shapes can be adapted to fit the intention of the designer during the design phase.
| Original language | English |
|---|---|
| Title of host publication | CAADRIA 2016, 21st International Conference on Computer-Aided Architectural Design Research in Asia - Living Systems and Micro-Utopias: Towards Continuous Designing |
| Publisher | The Association for Computer-Aided Architectural Design Research in Asia (CAADRIA) |
| Pages | 445-454 |
| Number of pages | 10 |
| ISBN (Electronic) | 9789881902672 |
| Publication status | Published - 2016 |
| Event | 21st International Conference on Computer-Aided Architectural Design Research in Asia: Living Systems and Micro-Utopias: Towards Continuous Designing, CAADRIA 2016 - Melbourne, Australia Duration: 2016 Mar 30 → 2016 Apr 2 |
Other
| Other | 21st International Conference on Computer-Aided Architectural Design Research in Asia: Living Systems and Micro-Utopias: Towards Continuous Designing, CAADRIA 2016 |
|---|---|
| Country | Australia |
| City | Melbourne |
| Period | 16/3/30 → 16/4/2 |
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Keywords
- 3d model
- Convolutional neural network
- Design tool
- Photogrammetry
ASJC Scopus subject areas
- Computer Graphics and Computer-Aided Design
- Building and Construction
Cite this
Edition-oriented 3D model rebuilt from photography : Giving affordance to 3D capture. / Silvestre, Joaquim; Guéna, François; Ikeda, Yasushi.
CAADRIA 2016, 21st International Conference on Computer-Aided Architectural Design Research in Asia - Living Systems and Micro-Utopias: Towards Continuous Designing. The Association for Computer-Aided Architectural Design Research in Asia (CAADRIA), 2016. p. 445-454.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Edition-oriented 3D model rebuilt from photography
T2 - Giving affordance to 3D capture
AU - Silvestre, Joaquim
AU - Guéna, François
AU - Ikeda, Yasushi
PY - 2016
Y1 - 2016
N2 - The topic of this paper is about a technique to turn pictures into an intuitively modifiable 3D model. The research employs an analytical method using algorithms to conceptualise and digitalise architectural spaces in order to highlight parametric shapes. Usually, from one group of digital photos, photogrammetry techniques produce a 3D-model mesh through a high-density 3D point cloud. This discordance between our intuitive partitioning of the mesh and its bare polygonal structure makes it interact poorly compared to the affordance of shape and component in our daily experience. Through a capture device, a visualisation of architecture in a digital data form is produced. They are processed by computer vision algorithms and machine learning systems in order to be refined into a parametric model. Parametric elements can be described as a compound of formulas and parameters. By keeping the formula and changing the parameters, these elements can be easily modified in a range of likenesses. After being detected during scans, these shapes can be adapted to fit the intention of the designer during the design phase.
AB - The topic of this paper is about a technique to turn pictures into an intuitively modifiable 3D model. The research employs an analytical method using algorithms to conceptualise and digitalise architectural spaces in order to highlight parametric shapes. Usually, from one group of digital photos, photogrammetry techniques produce a 3D-model mesh through a high-density 3D point cloud. This discordance between our intuitive partitioning of the mesh and its bare polygonal structure makes it interact poorly compared to the affordance of shape and component in our daily experience. Through a capture device, a visualisation of architecture in a digital data form is produced. They are processed by computer vision algorithms and machine learning systems in order to be refined into a parametric model. Parametric elements can be described as a compound of formulas and parameters. By keeping the formula and changing the parameters, these elements can be easily modified in a range of likenesses. After being detected during scans, these shapes can be adapted to fit the intention of the designer during the design phase.
KW - 3d model
KW - Convolutional neural network
KW - Design tool
KW - Photogrammetry
UR - http://www.scopus.com/inward/record.url?scp=84973541091&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84973541091&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84973541091
SP - 445
EP - 454
BT - CAADRIA 2016, 21st International Conference on Computer-Aided Architectural Design Research in Asia - Living Systems and Micro-Utopias: Towards Continuous Designing
PB - The Association for Computer-Aided Architectural Design Research in Asia (CAADRIA)
ER -