Shape Vision Lab

Av. Beauchef 851

8370458 Santiago, Chile

West Building 314, 304

Welcome to the Shape Vision Lab at the University of Chile.

We are a research group dedicated to exploring the geometric and visual properties of 3D data. Our work lies at the intersection of shape analysis, 3D computer vision, and geometry processing. We investigate both theoretical foundations and practical applications, from symmetry-aware learning to generative models for 3D shapes.

Our team includes undergraduate and graduate students, as well as collaborators from academia and industry. Together, we tackle problems in object recognition, generative modeling, cultural heritage reconstruction, and more.

Feel free to explore our ongoing projects, publications, and student theses. We are always open to new collaborations and ideas—whether you’re a student, researcher, or industry partner interested in the 3D world.

News

Jul 01, 2025	We are excited to announce the official launch of the Shape Vision Lab website 🚀!

Selected Publications

Preprint
A Dataset-free Approach for Self-supervised Learning of 3D Reflectional Symmetries

I. Aguirre, I. Sipiran, and G. Montañana

arXiv preprint arXiv:2503.02660, , Mar 2025

Abs DOI Bib PUBLICATION

In this paper, we explore a self-supervised model that learns to detect the symmetry of a single object without requiring a dataset—relying solely on the input object itself. We hypothesize that the symmetry of an object can be determined by its intrinsic features, eliminating the need for large datasets during training. Additionally, we design a self-supervised learning strategy that removes the necessity of ground truth labels.
@article{Aguirre2025DatasetFree, title = {A Dataset-free Approach for Self-supervised Learning of 3D Reflectional Symmetries}, author = {Aguirre, I. and Sipiran, I. and Montañana, G.}, journal = {arXiv preprint arXiv:2503.02660}, location = {}, volume = {}, issue = {}, pages = {}, numpages = {}, year = {2025}, month = mar, publisher = {}, doi = {}, }

ESWA

Multi-Label Learning on Low Label Density Sets with Few Examples

M. Vergara, B. Bustos, I. Sipiran, T. Schreck, and S. Lengauer

Expert Systems With Applications, , 2025

Abs DOI Bib PUBLICATION

@article{Vergara2025MultiLabel,
  title = {Multi-Label Learning on Low Label Density Sets with Few Examples},
  author = {Vergara, M. and Bustos, B. and Sipiran, I. and Schreck, T. and Lengauer, S.},
  journal = {Expert Systems With Applications},
  location = {},
  volume = {265},
  issue = {},
  pages = {125942},
  numpages = {},
  year = {2025},
  month = {},
  publisher = {Elsevier},
  doi = {10.1016/j.eswa.2024.125942},
}

IEEE Access
Land-Cover Semantic Segmentation for Very-High-Resolution Remote Sensing Imagery using Deep Transfer Learning and Active Contour Loss

M. Chicchón, F. Leon-Trujillo, I. Sipiran, and R. Madrid

IEEE Access, , 2025

Abs DOI Bib PUBLICATION

An accurate land-cover segmentation of very-high-resolution aerial images is essential for a wide range of applications, including urban planning and natural resource management. However, the automation of this process remains a challenge owing to the complexity of images, variability in land surface features, and noise. In this study, a method for training convolutional neural networks and transformers to perform land-cover segmentation on very-high-resolution aerial images in a regional context was proposed. We assessed the U-Net-scSE, FT-U-NetFormer, and DC-Swin architectures, incorporating transfer learning and active contour loss functions to improve performance on semantic segmentation tasks. Our experiments conducted using the OpenEarthMap dataset, which includes images from 44 countries, demonstrate the superior performance of U-Net-scSE models with the EfficientNet-V2-XL and MiT-B4 encoders, achieving an mIoU of over 0.80 on a test dataset of urban and rural images from Peru.
@article{Chicchon2025LandCover, title = {Land-Cover Semantic Segmentation for Very-High-Resolution Remote Sensing Imagery using Deep Transfer Learning and Active Contour Loss}, author = {Chicchón, M. and Leon-Trujillo, F. and Sipiran, I. and Madrid, R.}, journal = {IEEE Access}, location = {}, volume = {13}, issue = {}, pages = {59007--59019}, numpages = {}, year = {2025}, month = {}, publisher = {IEEE}, doi = {10.1109/ACCESS.2025.3556632}, }

CACM

The Role of Computing in the Study of Latin American Cultural Heritage

I. Sipiran

Communications of the ACM, New York, Aug 2024

Abs DOI Bib PUBLICATION

@article{Sipiran2024RoleComputing,
  title = {The Role of Computing in the Study of Latin American Cultural Heritage},
  author = {Sipiran, I.},
  journal = {Communications of the ACM},
  location = {New York},
  volume = {67},
  issue = {8},
  pages = {58--62},
  numpages = {},
  year = {2024},
  month = aug,
  publisher = {ACM},
  doi = {10.1145/3653309},
}

VisComp

A Convolutional Architecture for 3D Model Embedding Using Image Views

A. Labrada, B. Bustos, and I. Sipiran

The Visual Computer, , 2024

Abs DOI Bib PUBLICATION

@article{Labrada2024Convolutional3D,
  title = {A Convolutional Architecture for 3D Model Embedding Using Image Views},
  author = {Labrada, A. and Bustos, B. and Sipiran, I.},
  journal = {The Visual Computer},
  location = {},
  volume = {40},
  issue = {},
  pages = {1601--1615},
  numpages = {},
  year = {2024},
  month = {},
  publisher = {Springer},
  doi = {10.1007/s00371-023-02872-4},
}

JOCCH
Repetitive Patterns Recognition in Textures of Ancient Peruvian Pottery

S. Sepulveda, B. Bustos, and I. Sipiran

ACM Journal on Computing and Cultural Heritage, , 2024

Abs DOI Bib PUBLICATION

We present a study and comparison of computer vision methods for the task of finding repetitive motifs in ancient Peruvian pottery. Under this context, the main difficulties for solving the task are that the motifs are in most cases highly repetitive, that the motifs corresponding to the same pattern are slightly different due to being hand-drawn, and that the amount of data available for training and testing purposes is scarce.
@article{Sepulveda2024RepetitivePatterns, title = {Repetitive Patterns Recognition in Textures of Ancient Peruvian Pottery}, author = {Sepulveda, S. and Bustos, B. and Sipiran, I.}, journal = {ACM Journal on Computing and Cultural Heritage}, location = {}, volume = {17}, issue = {4}, pages = {55:1--55:16}, numpages = {}, year = {2024}, month = {}, publisher = {ACM}, doi = {10.1145/3694789}, }

ECCV

Unsupervised Video Summarization: A Reconstruction Model with Proximal Gradient Methods

A. Alfaro and I. Sipiran

In ECCV Workshop on Traditional Computer Vision, , 2024

Abs DOI Bib PUBLICATION

@inproceedings{Alfaro2024UnsupervisedVideo,
  title = {Unsupervised Video Summarization: A Reconstruction Model with Proximal Gradient Methods},
  author = {Alfaro, A. and Sipiran, I.},
  booktitle = {ECCV Workshop on Traditional Computer Vision},
  location = {},
  volume = {},
  issue = {},
  pages = {},
  numpages = {},
  year = {2024},
  month = {},
  publisher = {},
  doi = {},
}

VISART
Cultural Heritage 3D Reconstruction with Diffusion Networks

P. Jaramillo and I. Sipiran

In ECCV Workshop on Vision for Art (VISART VII), , 2024

Abs DOI Bib PUBLICATION

This article explores the use of recent generative AI algorithms for repairing cultural heritage objects, leveraging a conditional diffusion model designed to reconstruct 3D point clouds effectively. Our study evaluates the model’s performance across general and cultural heritage-specific settings. Results indicate that, with considerations for object variability, the diffusion model can accurately reproduce cultural heritage geometries.
@inproceedings{Jaramillo2024CulturalHeritage, title = {Cultural Heritage 3D Reconstruction with Diffusion Networks}, author = {Jaramillo, P. and Sipiran, I.}, booktitle = {ECCV Workshop on Vision for Art (VISART VII)}, location = {}, volume = {}, issue = {}, pages = {}, numpages = {}, year = {2024}, month = {}, publisher = {}, doi = {}, }

3DOR

Self-distillation for Efficient Object-level Point Cloud Learning

Lucas Oyarzún, Iván Sipiran, and José M. Saavedra

In Eurographics Workshop on 3D Object Retrieval (3DOR), , 2024

Abs DOI Bib PUBLICATION

@inproceedings{Oyarzun2024SelfDistillation,
  title = {Self-distillation for Efficient Object-level Point Cloud Learning},
  author = {Oyarzún, Lucas and Sipiran, Iván and Saavedra, José M.},
  booktitle = {Eurographics Workshop on 3D Object Retrieval (3DOR)},
  location = {},
  volume = {},
  issue = {},
  pages = {},
  numpages = {},
  year = {2024},
  month = {},
  publisher = {},
  doi = {},
}

AutCon

Large-scale Multi-unit Floor Plan Dataset for Architectural Plan Analysis and Recognition

Pablo N. Pizarro, Nancy Hitschfeld, and Iván Sipiran

Automation in Construction, , Dec 2023

Abs DOI Bib PUBLICATION

@article{Pizarro2023FloorPlanDataset,
  title = {Large-scale Multi-unit Floor Plan Dataset for Architectural Plan Analysis and Recognition},
  author = {Pizarro, Pablo N. and Hitschfeld, Nancy and Sipiran, Iván},
  journal = {Automation in Construction},
  location = {},
  volume = {156},
  issue = {},
  pages = {105132},
  numpages = {},
  year = {2023},
  month = dec,
  publisher = {Elsevier},
  doi = {10.1016/j.autcon.2023.105132},
}

IEEE Access

Semantic Segmentation of Fish and Underwater Environments Using Deep Convolutional Neural Networks and Learned Active Contours

Miguel Chicchón, Héctor Bedón, Carlos R. Del-Blanco, and Iván Sipiran

IEEE Access, , 2023

Abs DOI Bib PUBLICATION

@article{Chicchon2023UnderwaterSegmentation,
  title = {Semantic Segmentation of Fish and Underwater Environments Using Deep Convolutional Neural Networks and Learned Active Contours},
  author = {Chicchón, Miguel and Bedón, Héctor and Del-Blanco, Carlos R. and Sipiran, Iván},
  journal = {IEEE Access},
  location = {},
  volume = {11},
  issue = {},
  pages = {33652--33665},
  numpages = {},
  year = {2023},
  month = {},
  publisher = {IEEE},
  doi = {},
}

3DOR

SHREC 2023: Detection of Symmetries on 3D Point Clouds Representing Simple Shapes

Iván Sipiran, Chiara Romanengo, Bianca Falcidieno, Silvia Biasotti, Gerasimos Arvanitis, and 11 more authors

In Eurographics Workshop on 3D Object Retrieval (3DOR), , 2023

Abs DOI Bib PUBLICATION

@inproceedings{Sipiran2023SHREC,
  title = {SHREC 2023: Detection of Symmetries on 3D Point Clouds Representing Simple Shapes},
  author = {Sipiran, Iván and Romanengo, Chiara and Falcidieno, Bianca and Biasotti, Silvia and Arvanitis, Gerasimos and Chen, Chen and Fotis, Vlassis and He, Jianfang and Lv, Xiaoling and Moustakas, Konstantinos and Peng, Silong and Romanelis, Ioannis and Sun, Wenhao and Vlachos, Christoforos and Wu, Ziyu and Xie, Qiong},
  booktitle = {Eurographics Workshop on 3D Object Retrieval (3DOR)},
  location = {},
  volume = {},
  issue = {},
  pages = {},
  numpages = {},
  year = {2023},
  month = {},
  publisher = {},
  doi = {},
}

JWSCG

Visual Exploration of Repetitive Patterns on Ancient Peruvian Pottery

Stefan Lengauer, Lin Shao, Magdalena Mayerhofer, Reinhold Preiner, Stephan Karl, and 4 more authors

Journal of WSCG, , Nov 2023

Abs DOI Bib PUBLICATION

@article{Lengauer2023VisualExploration,
  title = {Visual Exploration of Repetitive Patterns on Ancient Peruvian Pottery},
  author = {Lengauer, Stefan and Shao, Lin and Mayerhofer, Magdalena and Preiner, Reinhold and Karl, Stephan and Trinkl, Elisabeth and Sipiran, Iván and Bustos, Benjamin and Schreck, Tobias},
  journal = {Journal of WSCG},
  location = {},
  volume = {31},
  issue = {1-2},
  pages = {25--33},
  numpages = {},
  year = {2023},
  month = nov,
  publisher = {},
  doi = {10.24132/JWSCG.2023.3},
}

ICCVW

MatchMakerNet: Enabling Fragment Matching for Cultural Heritage Analysis

Ariana M. Villegas-Suarez, Cristian Lopez, and Iván Sipiran

In Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops (ICCVW), , 2023

Abs DOI Bib PUBLICATION

@inproceedings{Villegas2023MatchMakerNet,
  title = {MatchMakerNet: Enabling Fragment Matching for Cultural Heritage Analysis},
  author = {Villegas-Suarez, Ariana M. and Lopez, Cristian and Sipiran, Iván},
  booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops (ICCVW)},
  location = {},
  volume = {},
  issue = {},
  pages = {},
  numpages = {},
  year = {2023},
  month = {},
  publisher = {},
  doi = {},
}

ICCVW

Evaluation of 3D Reconstruction for Cultural Heritage Applications

Cristián Llull, Nelson Baloian, Benjamin Bustos, Kornelius Kupczik, Iván Sipiran, and 1 more author

In Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops (ICCVW), , Oct 2023

Abs DOI Bib PUBLICATION

@inproceedings{Llull2023Evaluation3DReconstruction,
  title = {Evaluation of 3D Reconstruction for Cultural Heritage Applications},
  author = {Llull, Cristián and Baloian, Nelson and Bustos, Benjamin and Kupczik, Kornelius and Sipiran, Iván and Baloian, Andrés},
  booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops (ICCVW)},
  location = {},
  volume = {},
  issue = {},
  pages = {1634--1643},
  numpages = {},
  year = {2023},
  month = oct,
  publisher = {IEEE},
  doi = {10.1109/ICCVW60793.2023.00179},
}

IJCV

Data-Driven Restoration of Digital Archaeological Pottery with Point Cloud Analysis

Iván Sipiran, Alexis Mendoza, Alexander Apaza, and Cristian Lopez

International Journal of Computer Vision, , Sep 2022

Abs DOI Bib PUBLICATION

@article{Sipiran2022DataDrivenRestoration,
  title = {Data-Driven Restoration of Digital Archaeological Pottery with Point Cloud Analysis},
  author = {Sipiran, Iván and Mendoza, Alexis and Apaza, Alexander and Lopez, Cristian},
  journal = {International Journal of Computer Vision},
  location = {},
  volume = {130},
  issue = {9},
  pages = {2149--2165},
  numpages = {},
  year = {2022},
  month = sep,
  publisher = {Springer},
  doi = {10.1007/s11263-022-01637-1},
}

CompGraph

SHREC 2022: Fitting and Recognition of Simple Geometric Primitives on Point Clouds

Chiara Romanengo, Andrea Raffo, Silvia Biasotti, Bianca Falcidieno, Vlassis Fotis, and 15 more authors

Computers & Graphics, , Oct 2022

Abs DOI Bib PUBLICATION

@article{Romanengo2022SHREC,
  title = {SHREC 2022: Fitting and Recognition of Simple Geometric Primitives on Point Clouds},
  author = {Romanengo, Chiara and Raffo, Andrea and Biasotti, Silvia and Falcidieno, Bianca and Fotis, Vlassis and Romanelis, Ioannis and Psatha, Eleftheria and Moustakas, Konstantinos and Sipiran, Iván and Nguyen, Quang-Thuc and Chu, Chi-Bien and Nguyen-Ngoc, Khoi and Vo, Dinh-Khoi and To, Tuan-An and Nguyen, Nham-Tan and Le-Pham, Nhat-Quynh and Nguyen, Hai-Dang and Tran, Minh-Triet and Qie, Yifan and Anwer, Nabil},
  journal = {Computers & Graphics},
  location = {},
  volume = {107},
  issue = {},
  pages = {32--49},
  numpages = {},
  year = {2022},
  month = oct,
  publisher = {Elsevier},
  doi = {10.1016/j.cag.2022.07.004},
}

CompGraph

SHREC 2022: Pothole and Crack Detection in the Road Pavement Using Images and RGB-D Data

Elia Moscoso Thompson, Andrea Ranieri, Silvia Biasotti, Miguel Chicchón, Iván Sipiran, and 4 more authors

Computers & Graphics, , Oct 2022

Abs DOI Bib PUBLICATION

@article{Thompson2022SHREC,
  title = {SHREC 2022: Pothole and Crack Detection in the Road Pavement Using Images and RGB-D Data},
  author = {Thompson, Elia Moscoso and Ranieri, Andrea and Biasotti, Silvia and Chicchón, Miguel and Sipiran, Iván and Pham, Minh-Khoi and Nguyen-Ho, Thang-Long and Nguyen, Hai-Dang and Tran, Minh-Triet},
  journal = {Computers & Graphics},
  location = {},
  volume = {107},
  issue = {},
  pages = {161--171},
  numpages = {},
  year = {2022},
  month = oct,
  publisher = {Elsevier},
  doi = {10.1016/j.cag.2022.07.018},
}

AutCon

Automatic Floor Plan Analysis and Recognition

Pablo N. Pizarro, Nancy Hitschfeld, Iván Sipiran, and José M. Saavedra

Automation in Construction, , Aug 2022

Abs DOI Bib PUBLICATION

@article{Pizarro2022FloorPlan,
  title = {Automatic Floor Plan Analysis and Recognition},
  author = {Pizarro, Pablo N. and Hitschfeld, Nancy and Sipiran, Iván and Saavedra, José M.},
  journal = {Automation in Construction},
  location = {},
  volume = {140},
  issue = {},
  pages = {104348},
  numpages = {},
  year = {2022},
  month = aug,
  publisher = {Elsevier},
  doi = {10.1016/j.autcon.2022.104348},
}

AIRev

A Comprehensive Review of the Video-to-Text Problem

Jesús Perez-Martin, Benjamin Bustos, Silvio Jamil F. Guimarães, Iván Sipiran, Jorge Pérez, and 1 more author

Artificial Intelligence Review, , May 2022

Abs DOI Bib PUBLICATION

@article{PerezMartin2022VideoToText,
  title = {A Comprehensive Review of the Video-to-Text Problem},
  author = {Perez-Martin, Jesús and Bustos, Benjamin and Guimarães, Silvio Jamil F. and Sipiran, Iván and Pérez, Jorge and Coello, Grethel},
  journal = {Artificial Intelligence Review},
  location = {},
  volume = {55},
  issue = {5},
  pages = {4165--4239},
  numpages = {},
  year = {2022},
  month = may,
  publisher = {Springer},
  doi = {10.1007/s10462-021-10104-1},
}

Interactive Annotation of Geometric Ornamentation on Painted Pottery Assisted by Deep Learning

Stefan Lengauer, Peter Houska, Reinhold Preiner, Elisabeth Trinkl, Stephan Karl, and 3 more authors

it - Information Technology, , Aug 2022

Abs DOI Bib PUBLICATION

@article{Lengauer2022InteractiveAnnotation,
  title = {Interactive Annotation of Geometric Ornamentation on Painted Pottery Assisted by Deep Learning},
  author = {Lengauer, Stefan and Houska, Peter and Preiner, Reinhold and Trinkl, Elisabeth and Karl, Stephan and Sipiran, Iván and Bustos, Benjamin and Schreck, Tobias},
  journal = {it - Information Technology},
  location = {},
  volume = {64},
  issue = {6},
  pages = {217--231},
  numpages = {},
  year = {2022},
  month = aug,
  publisher = {De Gruyter},
  doi = {10.1515/itit-2022-0007},
}

GCH

Context-Based Surface Pattern Completion of Ancient Pottery

Stefan Lengauer, Reinhold Preiner, Iván Sipiran, Stephan Karl, Elisabeth Trinkl, and 2 more authors

In Proceedings of the Eurographics Workshop on Graphics and Cultural Heritage, , 2022

Abs DOI Bib PUBLICATION

@inproceedings{Lengauer2022ContextBased,
  title = {Context-Based Surface Pattern Completion of Ancient Pottery},
  author = {Lengauer, Stefan and Preiner, Reinhold and Sipiran, Iván and Karl, Stephan and Trinkl, Elisabeth and Bustos, Benjamin and Schreck, Tobias},
  booktitle = {Proceedings of the Eurographics Workshop on Graphics and Cultural Heritage},
  location = {},
  volume = {},
  issue = {},
  pages = {107--115},
  numpages = {},
  year = {2022},
  month = {},
  publisher = {Eurographics Association},
  doi = {10.2312/gch.20221234},
}

CompGraph

SHREC 2021: Retrieval of Cultural Heritage Objects

Iván Sipiran, Patrick Lazo, Cristian Lopez, Mauricio Jimenez, Nikhil Bagewadi, and 21 more authors

Computers & Graphics, , Nov 2021

Abs DOI Bib PUBLICATION

@article{Sipiran2021SHREC,
  title = {SHREC 2021: Retrieval of Cultural Heritage Objects},
  author = {Sipiran, Iván and Lazo, Patrick and Lopez, Cristian and Jimenez, Mauricio and Bagewadi, Nikhil and Bustos, Benjamin and Dao, Huy and Gangisetty, Suman and Hanik, Marek and Ho-Thi, Nguyen-Phuong and Holenderski, Maciej and Jarnikov, Dmitri and Labrada, Andrés and Licandro, Rodrigo and Nguyen, Dinh-Hoang and Nguyen-Ho, Thang-Long and Perez-Rey, Luis A. and Pham, Binh-Dang and Pham, Minh-Khoi and Preiner, Reinhold and Schreck, Tobias and Trinh, Quang-Huy and Tonnaer, Laurens and von Tycowicz, Christoph and Vu-Le, Tuan-Anh and Lengauer, Stefan},
  journal = {Computers & Graphics},
  location = {},
  volume = {100},
  issue = {},
  pages = {1--20},
  numpages = {},
  year = {2021},
  month = nov,
  publisher = {Elsevier},
  doi = {10.1016/j.cag.2021.07.010},
}

CGF

A Benchmark Dataset for Repetitive Pattern Recognition on Textured 3D Surfaces

Stefan Lengauer, Iván Sipiran, Reinhold Preiner, Tobias Schreck, and Benjamin Bustos

Computer Graphics Forum, , 2021

Abs DOI Bib PUBLICATION

@article{Lengauer2021BenchmarkDataset,
  title = {A Benchmark Dataset for Repetitive Pattern Recognition on Textured 3D Surfaces},
  author = {Lengauer, Stefan and Sipiran, Iván and Preiner, Reinhold and Schreck, Tobias and Bustos, Benjamin},
  journal = {Computer Graphics Forum},
  location = {},
  volume = {40},
  issue = {5},
  pages = {},
  numpages = {},
  year = {2021},
  month = {},
  publisher = {Wiley},
  doi = {10.1111/cgf.14352},
}

CompGraph

SHREC’20 Track: Retrieval of Digital Surfaces with Similar Geometric Reliefs

E. Moscoso, S. Biasotti, A. Giachetti, C. Tortorici, N. Werghi, and 21 more authors

Computers & Graphics, , Oct 2020

Abs DOI Bib PUBLICATION

@article{Moscoso2020SHREC,
  title = {SHREC’20 Track: Retrieval of Digital Surfaces with Similar Geometric Reliefs},
  author = {Moscoso, E. and Biasotti, S. and Giachetti, A. and Tortorici, C. and Werghi, N. and Shaker, A. and Berretti, S. and Nguyen-Dinh, H. and Le, M. and Nguyen, H. and Tran, M. and Gigli, L. and Velasco-Forero, S. and Marcotegui, B. and Sipiran, I. and Bustos, B. and Romanelis, I. and Fotis, V. and Arvanitis, G. and Moustakas, K. and Otu, E. and Zwiggelaar, R. and Hunter, D. and Liu, Y. and Arteaga, Y. and Luxman, R.},
  journal = {Computers & Graphics},
  location = {},
  volume = {91},
  issue = {},
  pages = {199--218},
  numpages = {},
  year = {2020},
  month = oct,
  publisher = {Elsevier},
  doi = {10.1016/j.cag.2020.07.005},
}

3DImaging

3D Shape Matching for Retrieval and Recognition

Benjamin Bustos and Iván Sipiran

In 3D Imaging, Analysis and Applications, , 2020

Abs DOI Bib PUBLICATION

@incollection{Bustos2020ShapeMatching,
  title = {3D Shape Matching for Retrieval and Recognition},
  author = {Bustos, Benjamin and Sipiran, Iván},
  booktitle = {3D Imaging, Analysis and Applications},
  location = {},
  volume = {},
  issue = {},
  pages = {413--461},
  numpages = {},
  year = {2020},
  month = {},
  publisher = {Springer},
  doi = {10.1007/978-3-030-44070-1_9},
}

GCH

Semi-automated Annotation of Repetitive Ornaments on 3D Painted Pottery Surfaces

Stefan Lengauer, Alexander Komar, Stephan Karl, Elisabeth Trinkl, Iván Sipiran, and 2 more authors

In Proceedings of the Eurographics Workshop on Graphics and Cultural Heritage, , Nov 2020

Abs DOI Bib PUBLICATION

@inproceedings{Lengauer2020Annotation,
  title = {Semi-automated Annotation of Repetitive Ornaments on 3D Painted Pottery Surfaces},
  author = {Lengauer, Stefan and Komar, Alexander and Karl, Stephan and Trinkl, Elisabeth and Sipiran, Iván and Schreck, Tobias and Preiner, Reinhold},
  booktitle = {Proceedings of the Eurographics Workshop on Graphics and Cultural Heritage},
  location = {},
  volume = {},
  issue = {},
  pages = {},
  numpages = {},
  year = {2020},
  month = nov,
  publisher = {Eurographics Association},
  doi = {10.2312/gch.20201285},
}