Region-based segmentation on depth images from a 3D reference surface for tree species recognition.
type: Dataset
description: International audience
issued: 2026-05-07T15:56:30.707720
language: en
modified: 2026-05-07T15:56:30.707725
contact point: Organization
  fn: CCSD
keyword: conference-papers
keyword: depth-image-segmentation
keyword: depth-images-from-3d-point-clouds
keyword: forest-inventory
keyword: ieee
keyword: infoeu-reposemanticsconferenceobject
keyword: infoinfo-cvcomputer-science-cscomputer-vision-and-pattern-recognition-cscv
keyword: infoinfo-ticomputer-science-csimage-processing-eessiv
keyword: infoinfo-tscomputer-science-cssignal-and-image-processing
keyword: single-tree-species-recognition
keyword: spisignalengineering-sciences-physicssignal-and-image-processing
keyword: statapstatistics-statapplications-statap
landing page: IEEE International Conference on Image Processing

Region-based segmentation on depth images from a 3D reference surface for tree species recognition.
type: Distribution
format: HTML
issued: 2026-05-07T15:56:30.715918
modified: 2026-05-07T15:56:30.624878
access URL: https://hal.science/hal-00923704

test_moissonnage_selune
type: Agent