Publication

Reconstructing Geometrically Consistent Tree Structures from Noisy Images

Pascal Fua, Engin Türetken, Germán González Serrano
2010
Conference Papers

Abstract

We present a novel approach to fully automated reconstruction of tree structures in noisy 2D images. Unlike in earlier approaches, we explicitly handle crossovers and bifurcation points, and impose geometric constraints while optimizing a global cost function. We use manually annotated retinal scans to evaluate our method and demonstrate that it brings about a very substantial improvement.

Official source

https://infoscience.epfl.ch/entities/publication/c2a50c6e-80bd-49a8-af32-77b6290284c3

About this result

This page is automatically generated and may contain information that is not correct, complete, up-to-date, or relevant to your search query. The same applies to every other page on this website. Please make sure to verify the information with EPFL's official sources.

Graph Chat

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.

Reconstructing Geometrically Consistent Tree Structures from Noisy Images

Chat with Graph Search

From thin plates to Ahmed bodies: linear and weakly nonlinear stability of rectangular prisms

From coating flow patterns to porous body wake dynamics via multiscale models

From Trees to Barcodes and Back Again: A Combinatorial, Probabilistic and Geometric Study of a Topological Inverse Problem