19 - A 3D Morphometric Workflow for Quantifying Use-Wear on Pompeii’s Public Fountain Basins
Presenters
Matthew F. Notarian, Hiram College
Abstract
Many of Pompeii’s 36 extant
public basin fountains display use wear of varying depth and location. Though
long recognized as potential proxies for the intensity, duration, and habits
associated with ancient water collection, quantifying this wear systemically is
problematic. Located along the edges of the basins’ rectangular slabs, a
two-dimensional morphometric approach cannot adequately capture the depth of
worn zones, as they often extend along at least two faces. Moreover, the slabs’
original unworn forms are difficult to discern due to their irregular shape and
varying materials.
This poster outlines a 3D
morphometric analysis workflow to identify and quantify zones of wear on
Pompeii’s fountain basins. A high precision photogrammetric survey in July 2023
captured 3D models of 34 public fountains. Using the open-source programs CloudCompare
and Blender, individual basin slabs are graphically isolated to create convex
hulls of their shape. The difference between the convex hull and the basin
serves as a standard against which to measure the depth of wear. Morphometric
parameters such as roughness highlight smooth surfaces of the stone, which help
distinguish wear from other external irregularities. 3D volumetric models of
worn zones are then created and quantified.
Preliminary results
demonstrate this process successfully identifies, visualizes, and measures use
wear, even areas that are not apparent in unaided visual inspection. These
metrics form the basis of statistical analyses that address several aspects of
water collection practices. These include the location of wear with respect to
streets, sidewalks, and waterspouts, differences between basins of different
stone types and materials, potential time depth and/or intensity of fountain
use, and preference for collection from the left or right side. They also
constitute a companion to a recent spatial model that estimated the intensity
of fountain use based on their distribution.
AIA-2K