Editorial: Computer Vision and Photogrammetry: Interaction or Introspection?

LIME: Software for 3-D visualization, interpretation, and communication of virtual geoscience models

“…The reinvention of photogrammetry-a technique that has advanced in line with photographic innovations-has recently intensified the adoption of three-dimensional (3-D) spatial data by geoscientists. This has been driven by the ubiquity of digital cameras and major increases in automation arising from scientific outputs from the computer vision discipline (e.g., interest operators, feature point matching, and dense point cloud extraction; Granshaw and Fraser, 2015), which have been implemented in easy-to-use software packages. In addition, new dynamic sensor platforms such as unmanned aerial vehicles (UAVs) and mobile mapping systems allow 3-D acquisition in a wide range of configurations, and extended-spectral-range imaging sensors (multispectral and hyperspectral, thermal, radar; Eitel et al, 2016) provide new possibilities for complementing purely geometric approaches (Buckley et al, 2013).…”

External Verification of the Bundle Adjustment in Photogrammetric Software Using the Damped Bundle Adjustment Toolbox

“…The results do suggest that the treatment of control points is different from that of PM. This is unfortunate, as to quote Granshaw and Fraser (2015):…”

Generation of Highly Accurate Digital Elevation Models with Unmanned Aerial Vehicles

“…It should also be noted that today there are no “pure” SfM‐based commercial software suites, and photogrammetric models are even used in the software which originates from the computer‐vision community. Generally, computer‐vision tools (except for feature‐based image matching) are primarily employed in “preliminary photogrammetric orientation processes” for determining, for example, initial values for a bundle block adjustment (Granshaw and Fraser, ).…”