We propose an approach to reconstructing tree structures that evolve over time in 2D images and 3D image stacks such as neuronal axons or plant branches. Instead of reconstructing structures in each image independently, ...

We present a general approach for solving the point-cloud matching problem for the case of mildly nonlinear transformations. Our method quickly nds a coarse approximation of the solution by exploring a reduced set of ...

We present a new approach for matching sets of branching curvilinear structures that form graphs embedded in R2 or R3 and may be subject to deformations. Unlike earlier methods, ours does not rely on local appearance ...