Computer vision: image segmentation of vegetation data, historic maps, performance evaluation of segmentation methods
Feature extraction: non-rigid shape matching with custom models, model-based fitting in point clouds (LiDAR,TLS)
Classification: audio signals of bat species, landcover types
Stereo matching: evaluation and optimization of matching methods
Grouping: converting sampled point data to connected vegetation areas (alfa shapes, triangulation)
Software development: faster, robuster processing with C++, GPU with CUDA,OpenCL