Lukas Maximilian Schmid

An Approach for Semantic Segmentation of Tree-like Vegetation

This paper presents a pipeline for semantic segmentation of trees into their components. Given a single RGB-D image of a tree, we employ a deep network to predict labels to classify each pixel of the tree into trunk, branches, twigs and leaves. Multiple convolutional neural network architectures to…