MeshLab: an Open-Source 3D Mesh Processing System
By Paolo Cignoni, Massimiliano Corsini, G. Ranzuglia. ERCIM News, 2008
390 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/1a5585901a283864098cce1c4cb02f628886c2b7
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Citations in the corpus
- Robust Spatial Filtering With Graph Convolutional Neural Networks (2017, methodology): “Outlier points are removed and a mesh is created from the remainder using Meshlab [51].”
- Latent-NeRF for Shape-Guided Generation of 3D Shapes and Textures (2022, methodology): “…it better to use a UV-map for two main reasons: (i) The UV map makes the texture granularity independent of the geometric resolution, i.e. , coarse geometries do not imply course colorization; and (ii) texture maps are easier to use with downstream applications like MeshLab [11] and Blender [12].”
- The use of close-range photogrammetry in zooarchaeology: Creating accurate 3D models of wolf crania to study dog domestication (2016, methodology): “Photogrammetry is also relatively inexpensive - only requiring a standard digital camera and freely distributed software (except Geomagic that can be replaced by other software including e.g. Meshlab (Cignoni et al., 2008)).”
- General-Purpose Deep Point Cloud Feature Extractor (2018, methodology): “We use Meshlab [14] to preprocess the raw data into a form our neural network expects.”
- Shape completion enabled robotic grasping (2016, methodology): “The symmetric Hausdorff distance was computed by running Meshlab’s[26] Hausdorff distance filter in both directions.”
- An improved LOD specification for 3D building models (2016, methodology): “The geometric computations were conducted with MeshLab* (Cignoni et al., 2008).”
- Ieee Transactions on Visualization and Computer Graphics 1 Efficient and Flexible Sampling with Blue Noise Properties of Triangular Meshes (unknown): “A publicly available implementation is also made available within the open source mesh processing software MeshLab [9].”