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evidenciavisual/README.md

Hi 👋 My name is Antonio Suazo

Researcher in technologies applied to cultural heritage, combining computational geometry, computer vision, computer graphics, and 3D data science for its study, analysis, protection and dissemination.

From LIDAR and deep learning for damage detection, to web platforms for open science.


Education

  • 🌍 I'm based in Santiago, Chile
  • ✉️ You can contact me at asuazo1@uc.cl
  • 🎓 Academic degrees of Professional Architect UCH, Master in Cultural Heritage PUC, and 25+ national and international postgraduate specialization courses.
  • 🔬 Currently a student of the PhD program in Engineering Sciences PUC, Chile. My research aims to identify the maximum post-earthquake deterioration in walls of historic buildings using 3d laser scanner records and Machine Learning techniques

Areas of interest

  • One of my main areas is the collection, visualization and computational analysis of three-dimensional data on historic assets. This by using methods at different scales, from emerging technologies for capturing reality (microsurface instruments, Lidar scanning, drone imagery, photogrammetry, etc), as well as aerial photography, to satellite records at urban and state scale. For this purpose I have implemented numerous computational geometry algorithms for the identification and characterization of alterations.
  • Another area is the analysis of historical photographs by computational means, for the investigation of the previous condition of different structures, buildings and artifacts of historical value. For this purpose I have developed a set of computer vision methods and algorithms to translate and extract the spatial clues contained in the images.
  • A third area is related to physical computing and full-scale human-machine interfaces for the exploration and querying of massive three-dimensional cultural heritage data. For this I have coded computer graphics development toolkits that include spatial partitioning systems, exchange with peripherals, and fixed-size memory blocks allocation, for fluid and resource-efficient visualizations.

Skills

Socials

Stats


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  1. ISPRS-TC-IV-Midterm-2024_Octree-based-point-cloud ISPRS-TC-IV-Midterm-2024_Octree-based-point-cloud Public

    Repository for the paper "Towards a Digital Twin of Built Heritage based on Heterogeneous Photographs: Octree-based Point Cloud for storing, visualising and assessing Buildings Information and its …

  2. cs291 cs291 Public

    Forked from udacity/cs291

    Interactive 3D Graphics class code

    JavaScript

  3. IIC3724-1-Reconocimiento-de-Patrones IIC3724-1-Reconocimiento-de-Patrones Public

  4. Box3-Octree Box3-Octree Public

    A lightweight Octree for three.js that uses Box3 instead of Meshes