pointcloud.garden is a collection of 3D scanned gardens, each consist of large sets of data points measured from gardens in a 3D scanning process. Each data point consists of spatial [XYZ] and color [RGB] information. The resulting data set is a discontinuous translation of a surface into discrete data points, filled with gaps and missing information. This compressed translation emphasizes certain ways in which humans experience a garden; as an aggregation of leaves, petals, stalks and stems, a set of discontinuous points forming an overall texture.

Link to Insights exhibition