environment-monitoring

content/research/environment-monitoring/desc.md

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+---
+weight: 10
+title: "Digital Fabrication"
+authors: ["luigi-malomo"]
+show_date: false
+#date: 2022
+image:
+  focal_point: 'top'
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+
+The growing popularity of low-cost cameras and data-driven autonomous robotics have made large-scale imaging increasingly popular in environmental monitoring. 
+Ecological assessments deduced from visual data have, until now, been reserved for direct observation by scientists, but most of the time the massive new stream 
+of information cannot be processed visually. The Visual Computing Lab researches and develops IT tools based on computer vision, artificial intelligence and 
+geometry processing of 3D data aimed at the ecological analysis of visual data. 
+
+This research activity led to the development of the AI-powered open-source software for analysing coral reefs TagLab. TagLab combines advanced automatic recognition 
+and measurement tools in a friendly graphical user interface to efficiently study demographic changes, spatial dynamics, and the health of coral reef communities 
+by leveraging visual data. By reducing the time required for ecological post-processing of coral reef images, TagLab allows researchers to process increasingly 
+larger volumes of data without increasing the time needed for the person and ultimately facilitates a greater ability to understand and predict changes futures in 
+coral reef ecosystems.
+
+Taglab has been adopted by many marine science research institutions, including the Scripps Institution of Oceanography (University of California, San Diego), 
+the Australian Institute of Marine Science (AIMS), and the Marine Science Institute (University of California, Santa Barbara).
+
+Thanks to our experience and expertise in this field, we are involved in many research projects such as the National Research Program in Antartide (PNRA2018), 
+the PRIN EUPHROSYNE, and the 2023-2025 joint research collaborations funded by [MAECI](https://www.esteri.it/en).
+
+Selected papers:
+
+- [Field-aligned mesh joinery](/publication/2014/CPMS14)
+- [Elastic textures for additive fabrication](/publication/2015/PZMPCZ15)
+- [FlexMolds: automatic design of flexible shells for molding](/publication/2016/MPBC16)
+- [FlexMaps: Computational Design of Flat Flexible Shells for Shaping 3D Objects](/publication/2018/MPIPMCB18)
+- [Volume-aware design of flexible molds](/publication/2019/AMGBCP19)
+- [Optimizing Object Decomposition to Reduce Visual Artifacts in 3D Printing](/publication/2020/FAGMCC20)
+
+
+<!-- State of the art in stylized fabrication
+State of the art in computational mould design -->

content/research/environment-monitoring/index.md

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----
-title: "Environment Monitoring"
-authors: ["massimiliano-corsini","gaia-pavoni"]
-show_date: false
-#date: 2022
-image:
-  focal_point: 'top'
----
-
-Our activity on Geometry Processing includes methodologies for shape analysis and characterization, mesh parametrization and its applications. First, we aim to apply such techniques for re-meshing, compression and visualization. 
-
+---
+# Files in this folder represent a Widget Page (homepage)
+type: widget_page
+title: "Enviromental Monitoring"
+authors: ["Gaia Pavoni", "Massimiliano Corsini"]
+show_date: false
+---
+This line of research is focused on the development of algorithms and tools based on AI and geometry processing of 3D data 
+aimed at protecting biodiversity and support underwater biological and ecological analysis of visual data. 

content/research/environment-monitoring/papers.md

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+title: Recent Papers
+subtitle:
+
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+    tag: 'Architectural Geometry'
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