Edition-oriented 3D model rebuilt from photography: Giving affordance to 3D capture

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.