Results 221 to 230 of about 65,417 (304)
3D Photogrammetry-Driven Craniofacial Analysis in Orthodontics: A Scoping Review of Recent Applications. [PDF]
Hung PK, Liu J, Shan Z.
europepmc +1 more source
Grain Size Sorting and Steady Bars Formation in Straight Channels—Part 1: Laboratory Experiments
Abstract Surface grain size in gravel‐bed rivers is inherently heterogeneous, with marked spatial variability that remains challenging to predict, even in the presence of regular bedforms. This study investigates surface grain size variability on self‐formed alternate bars at the scale of a single bar unit, and is divided in two parts.
Marco Redolfi +3 more
wiley +1 more source
Immortalising cadaveric brain dissection using application photogrammetry. [PDF]
Cullinane DP, Lim B, Barry DS.
europepmc +1 more source
Abstract Earthflows are landslides in fine‐grained materials that alternate long dormant phases of very slow movement with short paroxysmal stages of rapid motion. These rapid phases are highly destructive, often causing severe damage to buildings and infrastructure.
M. Berti +11 more
wiley +1 more source
Rapid, without focus stacking, 3D photogrammetric digitization of cockroaches. [PDF]
Berger J +4 more
europepmc +1 more source
Abstract Global warming is causing rapid and profound impacts on northern ecosystems. Shifting precipitation, permafrost thaw, and rapid shrub advance into tundra environments are combining to alter stream temperature in uncertain ways. The expansion and increased abundance of shrub vegetation, termed shrubification, may moderate warming stream ...
Andras J. Szeitz +5 more
wiley +1 more source
Comparing a single target image with a reference three-dimensional (3D) virtual avatar of a real person. [PDF]
Imoto D +4 more
europepmc +1 more source
Reconstructing Digital Elevation Models From Single Synthetic Aperture Radar Images
Abstract Traditional radar‐based methods of generating topography involve complex dual‐antenna or formation‐flying satellite configurations, interferometric processing, and specialized expertise. We present an approach for reconstructing digital elevation models (DEMs) from single Synthetic Aperture Radar (SAR) images using deep learning.
W. Hamish Mitchell +3 more
wiley +1 more source

