Understanding digital shapes from the life sciences

Plant clustering into elementary units

t-LiDAR point cloud filtering for forest tree reconstruction

We analyze and filter or correct the noise in t-LiDAR point clouds due to multiple hits of a laser beam with the scene. We use the cleaned point cloud to enhance forest tree reconstruction methods.

Context:  Romain Rombourg's Master then PhD thesis and Digitree project.
Co-workers:  Romain Rombourg (Master then PhD student), Eric Casella (researcher, Forest Research UK).
More details:  [FSPMA'16a], [FSPMA'16b].

 

Plant clustering into elementary units

We propose a spectral clustering approach to segment a 3D point cloud of a plant (typically acquired with a laser scanner device) into elementary units (branches, petioles, leaves).

Context:  PlantScan3D project.
Co-workers:  Eric Casella (researcher, Forest Research UK), Rémy Cumont (intern), Dobrina Boltcheva (postdoc).
More details:  [FSPM'13], [IJRS'16].

 

Ontology-based anatomical segmentation

To automatically segment a 3D mesh of a human organ into anatomical meaningful parts, we propose to benefit from standardized anatomy information, organized in an ontology (for instance myCorporisFabrica).

Context:  Sahar Hassan's PhD thesis.
Co-workers:  Sahar Hassan (PhD student), Georges-Pierre Bonneau (professor, Univ. Grenoble), Olivier Palombi (neurosurgeon and assistant professor, Univ. Grenoble).
More details:  [S3DMC'10].

 

Automatic cerebral aneurysm localization and quantification

We propose a simple method to detect, locate and quantify the size and shape of aneurysms on blood vessels, to help neurosurgeons before operation.

Context:  Sahar Hassan's Master and PhD theses.
Co-workers:  Sahar Hassan (Master then PhD student), François Faure (assistant professor, Univ. Grenoble), Olivier Palombi (neurosurgeon and assistant professor, Univ. Grenoble).
More details:  [CAIP'11].