activity
20242026
most citedUruDendro4: A Benchmark Dataset for Automatic Tree-Ring Detection in Cross-Section Images of Pinus taeda L

1 citations · 1 across the 9 of their papers we have counts for

collaborators

10 papers

cs.CV2026

Theatre Chapbooks At Scale: A Statistical Comparative Analysis of Typography

Diego Belzarena, Seginus Mowlavi, Paula Casariego Castiñeira +3

We propose a statistical methodology that quantifies the similarity of typefaces between printed historical books. This provides a tool that accelerates philological analysis. Usin…

cs.CV2026

When Low CER is Not Enough: An Analysis of Hallucinations in Vision-Language OCR Systems on Historical Uruguayan Documents

Marina Gardella, Camilo Mari{ñ}o, Camilo Mariño +5

Optical Character Recognition (OCR) is a key component in the digitization of historical archives. Recently, Vision-Language Models (VLMs) have emerged as strong alternatives to tr…

cs.CV2026

TRAS: An Interactive Software for Tracing Tree Ring Cross Sections

Henry Marichal, Diego Passarella, Gregory Randall

Tree ring marking remains a key step in dendrometry and dendrochronology, but it is often performed manually, making the process time-consuming, subjective, and difficult to scale…

cs.CV2026

Implementation and discussion of the Pith Estimation on Rough Log End Images using Local Fourier Spectrum Analysis method

Henry Marichal, Diego Passarella, Gregory Randall

In this article, we analyze and propose a Python implementation of the method "Pith Estimation on Rough Log End images using Local Fourier Spectrum Analysis", by Rudolf Schraml and…

cs.CV2025★ 1 cited

UruDendro4: A Benchmark Dataset for Automatic Tree-Ring Detection in Cross-Section Images of Pinus taeda L

Henry Marichal, Joaquin Blanco, Diego Passarella +1

Tree-ring growth represents the annual wood increment for a tree, and quantifying it allows researchers to assess which silvicultural practices are best suited for each species. Ma…

cs.CV2025

Improving OCR using internal document redundancy

Diego Belzarena, Seginus Mowlavi, Aitor Artola +9

Current OCR systems are based on deep learning models trained on large amounts of data. Although they have shown some ability to generalize to unseen data, especially in detection…

cs.CV2025

DeepCS-TRD, a Deep Learning-based Cross-Section Tree Ring Detector

Henry Marichal, Verónica Casaravilla, Candice Power +6

Here, we propose Deep CS-TRD, a new automatic algorithm for detecting tree rings in whole cross-sections. It substitutes the edge detection step of CS-TRD by a deep-learning-based…

cs.CV2024

A Brief Analysis of the Iterative Next Boundary Detection Network for Tree Rings Delineation in Images of Pinus taeda

Henry Marichal, Gregory Randall

This work presents the INBD network proposed by Gillert et al. in CVPR-2023 and studies its application for delineating tree rings in RGB images of Pinus taeda cross sections captu…

cs.CV2024

UruDendro, a public dataset of cross-section images of Pinus taeda

Henry Marichal, Diego Passarella, Christine Lucas +5

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 learni…

cs.CV2024

Automatic Wood Pith Detector: Local Orientation Estimation and Robust Accumulation

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. The method estimates the ring's loca…