Based on stochastic geometry, we develop a new family of point processes consisting in sampling junction-points in the input image by using a Monte Carlo ...
Our Junction-point process (middle) explores the graph configurations in images in order to extract line-networks, here a road network (left) from an aerial ...
Apr 16, 2013 · Our Junction-point process (middle) explores the graph configurations in images in order to extract line-networks, here a road network (left) ...
Contrary to the pixel-based and object-based methods, our result is a graph in which each node represents either a connection or an ending in the line-network.
Oct 22, 2024 · Such processes are used for detecting objects in images by associating a simple geometric shape, eg a rectangle [10], to each point (middle), ...
Based on stochastic geometry, we develop a new family of point processes consisting in sampling junction-points in the input image by using a Monte Carlo ...
Bibliographic details on Recovering Line-Networks in Images by Junction-Point Processes.
Road Extraction from Overhead Images with Graph Neural Networks · no code ... Recovering Line-Networks in Images by Junction-Point Processes · no code ...
Recovering line-networks in images by junction-point processes. D Chai, W Forstner, F Lafarge. Proceedings of the IEEE Conference on Computer Vision and Pattern ...
We present a principled model to extract network topologies from images that is scalable and efficient. We map this goal into solving a routing optimization ...