Shape landmark detection through computer vision

Advisor:
Dirk Steinke (IB)

Geometric morphometrics is the statistical analysis of shape using landmark coordinates. Those landmark coordinates can come from various sources and are usually captured manually using a digitizing tablet or by measuring an image using software. There have been a few attempts to find shape landmarks automatically through computer vision and this project will make use of such tools to build a pipeline that automatically retrieves shape landmarks as well as basic morphometric measurements from a stack of images retrieved from the Barcode of Life Datasystems (BOLD) database.

Prospective students could work on the following aspects of the project:

  • Automatic shape recognition of pre-filtered image sets (Arthopods)
  • Landmark setting (including orientation correction)
  • Basic automatic measurements (length, width of specimens)