Inspired by the EDL shading technique and SSAO, I implemented a new shader for OpenGL ES designed to enhance the rendering of point clouds. As the shading function rely only on the projected depth, and because the variable gl_FragDepth is missing in OpenGL ES, a workaround was to implement a custom depth buffer using a... Continue Reading →

Comparison of wood / leaves segmentation methods using machine learning https://youtu.be/sZ8PB1XHyeo

A part of my PhD works is now available in the last release of the open source platform Computree. This wiki gives an overview of the computational steps implemented.

Departing from traditional tree models made of cylinders (in green), sharper models (in blue) can be computed. Expressed as a continuous surface, they describe the shape better and allow to assess precisely the tree properties. The 3D samples and the surface model of a tropical tree can be visualize here

Sequence of processing steps: modeling of the terrain surface, detection of the tree stem, then estimation of the tree model. 3D model of a Mangrove tree (Avicennia germinans Copyright A. Olagoke and C. Proisy, 2014, IRD UMR AMAP) https://skfb.ly/V9ZN

Mesh model of an evergreen sub tropical tree (Erytrophleum fordii) based on SimpleTree.

3D Points clouds from Mahabalipuram (India) created with VisualSFM   https://skfb.ly/W7Mx https://skfb.ly/V9W7

https://skfb.ly/Vunv 1 - Load a colored point cloud in CloudCompare 2 - Use its PCV plugin to compute the ambient occlusion of the point cloud. Save the resulting point cloud as a ASCII file. 3 - Use the following command to apply the ambient occlusion to the RGB values : awk '{ print $1 "... Continue Reading →