gsoc-2019

Boost.GIL

Selection of image processing algorithms

• Student: Miral Shah
• Mentor: Mateusz Loskot
• Repository: https://github.com/BoostGSoC19/gil-miral

The goal of this project is to add to GIL selection of core algorithms used in the image processing and analysis techniques Miral proposed to implement algorithms from the following categories:

• thresholding
• channels normalization
• morphological image processing
• noise filtering
• convolutions

Fundamentals of epipolar geometry

• Student: Olzhas Zhumabek
• Mentor: Stefan Seefeld
• Repository: https://github.com/BoostGSoC19/gil-olzhas

The goal of this project is to implement basic algorithms and data structure to create basis for stereo vision algorithms and 3D reconstruction.

• feature detection and extraction
• fundamental matrix calculation
• drawing epipolar lines
• rectification

Boost.Geometry

• Student: Tinko Bartels
• Mentors: Vissarion Fisikopoulos, Adam Wulkiewicz

The goal of this projest is twofold. First, implement algorithms for computing the Delaunay triangulation and (the dual structure) Voronoi diagram of a set of points. Second, implement algorithms for random point generation (according to some given distribution, e.g. uniform) in a geometry.