1 code implementation • 16 Apr 2024 • Henry Marichal, Diego Passarella, Christine Lucas, Ludmila Profumo, Verónica Casaravilla, María Noel Rocha Galli, Serrana Ambite, Gregory Randall
The automatic detection of tree-ring boundaries and other anatomical features using image analysis has progressed substantially over the past decade with advances in machine learning and imagery technology, as well as increasing demands from the dendrochronology community.
1 code implementation • 2 Apr 2024 • Henry Marichal, Diego Passarella, Gregory Randall
A fully automated technique for wood pith detection (APD), relying on the concentric shape of the structure of wood ring slices, is introduced.
1 code implementation • 18 May 2023 • Henry Marichal, Diego Passarella, Gregory Randall
This work describes a Tree Ring Detection method for complete Cross-Sections of trees (CS-TRD).
no code implementations • 13 Dec 2021 • Rafael Grompone von Gioi, Ignacio Ramírez Paulino, Gregory Randall
This work explores the connections between the Minimum Description Length (MDL) principle as developed by Rissanen, and the a-contrario framework for structure detection proposed by Desolneux, Moisan and Morel.
no code implementations • 25 May 2018 • José Lezama, Samy Blusseau, Jean-Michel Morel, Gregory Randall, Rafael Grompone von Gioi
Using a computational quantitative version of the non-accidentalness principle, we raise the possibility that the psychophysical and the (older) gestaltist setups, both applicable on dot or Gabor patterns, find a useful complement in a Turing test.
no code implementations • CVPR 2014 • Jose Lezama, Rafael Grompone von Gioi, Gregory Randall, Jean-Michel Morel
We present a novel method for automatic vanishing point detection based on primal and dual point alignment detection.
no code implementations • 6 May 2013 • Juan Cardelino, Vicent Caselles, Marcelo Bertalmio, Gregory Randall
Our first goal is to extend the search space of greedy merging algorithms to the set of all partitions spanned by a certain hierarchy, and to cast the segmentation as a selection problem within this space.