• Performing Image-like Convolution on Triangular Meshes 

  Tortorici, Claudio; Werghi, Naoufel; Berretti, Stefano (The Eurographics Association, 2018)

  Image convolution with a filtering mask is at the base of several image analysis operations. This is motivated by Mathematical foundations and by the straightforward way the discrete convolution can be computed on a grid-like ...

• Experimental Similarity Assessment for a Collection of Fragmented Artifacts 

  Biasotti, Silvia; Thompson, Elia Moscoso; Spagnuolo, Michela (The Eurographics Association, 2018)

  In the Visual Heritage domain, search engines are expected to support archaeologists and curators to address cross-correlation and searching across multiple collections. Archaeological excavations return artifacts that ...

• Completion of Cultural Heritage Objects with Rotational Symmetry 

  Sipiran, Ivan (The Eurographics Association, 2018)

  Archaeological artifacts are an important part of our cultural heritage. They help us understand how our ancestors used to live. Unfortunately, many of these objects are badly damaged by the passage of time and need repair. ...

• Person Re-Identification from Depth Cameras using Skeleton and 3D Face Data 

  Pala, Pietro; Seidenari, Lorenzo; Berretti, Stefano; Bimbo, Alberto Del (The Eurographics Association, 2018)

  In the typical approach, person re-identification is performed using appearance in 2D still images or videos, thus invalidating any application in which a person may change dress across subsequent acquisitions. For example, ...

• Non-rigid 3D Model Classification Using 3D Hahn Moment Convolutional Neural Networks 

  Mesbah, Abderrahim; Berrahou, Aissam; Hammouchi, Hicham; Berbia, Hassan; Qjidaa, Hassan; Daoudi, Mohamed (The Eurographics Association, 2018)

  In this paper, we propose a new architecture of 3D deep neural network called 3D Hahn Moments Convolutional Neural Network (3D HMCNN) to enhance the classification accuracy and reduce the computational complexity of a 3D ...

• Recognition of Geometric Patterns Over 3D Models 

  Biasotti, S.; Moscoso Thompson, E.; Barthe, L.; Berretti, S.; Giachetti, A.; Lejemble, T.; Mellado, N.; Moustakas, K.; Manolas, Iason; Dimou, Dimitrios; Tortorici, C.; Velasco-Forero, S.; Werghi, N.; Polig, M.; Sorrentino, G.; Hermon, S. (The Eurographics Association, 2018)

  This track of the SHREC 2018 originally aimed at recognizing relief patterns over a set of triangle meshes from laser scan acquisitions of archaeological fragments. This track approaches a lively and very challenging problem ...

• Protein Shape Retrieval 

  Langenfeld, Florent; Axenopoulos, Apostolos; Chatzitofis, Anargyros; Craciun, Daniela; Daras, Petros; Du, Bowen; Giachetti, Andrea; Lai, Yu-kun; Li, Haisheng; Li, Yingbin; Masoumi, Majid; Peng, Yuxu; Rosin, Paul L.; Sirugue, Jeremy; Sun, Li; Thermos, Spyridon; Toews, Matthew; Wei, Yang; Wu, Yujuan; Zhai, Yujia; Zhao, Tianyu; Zheng, Yanping; Montes, Matthieu (The Eurographics Association, 2018)

  Proteins are macromolecules central to biological processes that display a dynamic and complex surface. They display multiple conformations differing by local (residue side-chain) or global (loop or domain) structural ...

• Retrieval of Gray Patterns Depicted on 3D Models 

  Moscoso Thompson, E.; Tortorici, C.; Werghi, N.; Berretti, S.; Velasco-Forero, S.; Biasotti, S. (The Eurographics Association, 2018)

  This paper presents the results of the SHREC'18 track: Retrieval of gray patterns depicted on 3D models. The task proposed in the contest challenges the possibility of retrieving surfaces with the same texture pattern of ...

• 2D Image-Based 3D Scene Retrieval 

  Abdul-Rashid, Hameed; Yuan, Juefei; Li, Bo; Lu, Yijuan; Bai, Song; Bai, Xiang; Bui, Ngoc-Minh; Do, Minh N.; Do, Trong-Le; Duong, Anh-Duc; He, Xinwei; Le, Tu-Khiem; Li, Wenhui; Liu, Anan; Liu, Xiaolong; Nguyen, Khac-Tuan; Nguyen, Vinh-Tiep; Nie, Weizhi; Ninh, Van-Tu; Su, Yuting; Ton-That, Vinh; Tran, Minh-Triet; Xiang, Shu; Zhou, Heyu; Zhou, Yang; Zhou, Zhichao (The Eurographics Association, 2018)

  2D scene image-based 3D scene retrieval is a new research topic in the field of 3D object retrieval. Given a 2D scene image, it is to search for relevant 3D scenes from a dataset. It has an intuitive and convenient framework ...

• RGB-D Object-to-CAD Retrieval 

  Pham, Quang-Hieu; Tran, Minh-Khoi; Li, Wenhui; Xiang, Shu; Zhou, Heyu; Nie, Weizhi; Liu, Anan; Su, Yuting; Tran, Minh-Triet; Bui, Ngoc-Minh; Do, Trong-Le; Ninh, Tu V.; Le, Tu-Khiem; Dao, Anh-Vu; Nguyen, Vinh-Tiep; Do, Minh N.; Duong, Anh-Duc; Hua, Binh-Son; Yu, Lap-Fai; Nguyen, Duc Thanh; Yeung, Sai-Kit (The Eurographics Association, 2018)

  Recent advances in consumer-grade depth sensors have enable the collection of massive real-world 3D objects. Together with the rise of deep learning, it brings great potential for large-scale 3D object retrieval. In this ...

• 2D Scene Sketch-Based 3D Scene Retrieval 

  Yuan, Juefei; Li, Bo; Lu, Yijuan; Bai, Song; Bai, Xiang; Bui, Ngoc-Minh; Do, Minh N.; Do, Trong-Le; Duong, Anh-Duc; He, Xinwei; Le, Tu-Khiem; Li, Wenhui; Liu, Anan; Liu, Xiaolong; Nguyen, Khac-Tuan; Nguyen, Vinh-Tiep; Nie, Weizhi; Ninh, Van-Tu; Su, Yuting; Ton-That, Vinh; Tran, Minh-Triet; Xiang, Shu; Zhou, Heyu; Zhou, Yang; Zhou, Zhichao (The Eurographics Association, 2018)

  Sketch-based 3D model retrieval has the intuitiveness advantage over other types of retrieval schemes. Currently, there is a lot of research in sketch-based 3D model retrieval, which usually targets the problem of retrieving ...

• Automatic Extraction of Complex 3D Structures Application to the Inner Ear Segmentation from Cone Beam CT Digital Volumes 

  Beguet, Florian; Mari, Jean-Luc; Cresson, Thierry; Schmittbuhl, Matthieu; Guise, Jacques A. de (The Eurographics Association, 2018)

  We present an automatic approach for the retrieval of a complex structure within a 3D digital volume, using a generic deformable surface model. We apply this approach to the inner ear reconstruction of Cone Beam CT(CBCT) ...

• Geodesic-based 3D Shape Retrieval Using Sparse Autoencoders 

  Luciano, Lorenzo; Hamza, Abdessamad Ben (The Eurographics Association, 2018)

  In light of the increased processing power of graphics cards and the availability of large-scale datasets, deep neural networks have shown a remarkable performance in various visual computing applications. In this paper, ...

• Edge-based LBP Description of Surfaces with Colorimetric Patterns 

  Thompson, Elia Moscoso; Biasotti, Silvia (The Eurographics Association, 2018)

  In this paper we target the problem of the retrieval of colour patterns over surfaces. We generalize to surface tessellations the well known Local Binary Pattern (LBP) descriptor for images. The key concept of the LBP is ...

• Microshapes: Efficient Querying of 3D Object Collections based on Local Shape 

  Blokland, Bart Iver van; Theoharis, Theoharis (The Eurographics Association, 2018)

  Content-based querying of 3D object collections has the intrinsic difficulty of creating the query object and previous approaches have concentrated in producing global simplifications such as sketches. In contrast, in this ...

• 3DOR 2018: Frontmatter 

  Telea, Alex; Theoharis, Theoharis; Veltkamp, Remco (Eurographics Association, 2018)

• Directed Curvature Histograms for Robotic Grasping 

  Schulz, Rodrigo; Guerrero, Pablo; Bustos, Benjamin (The Eurographics Association, 2017)

  Three-dimensional descriptors are a common tool nowadays, used in a wide range of tasks. Most of the descriptors that have been proposed in the literature focus on tasks such as object recognition and identification. This ...

• Semantic Correspondence Across 3D Models for Example-based Modeling 

  Léon, Vincent; Itier, Vincent; Bonneel, Nicolas; Lavoué, Guillaume; Vandeborre, Jean-Philippe (The Eurographics Association, 2017)

  Modeling 3D shapes is a specialized skill not affordable to most novice artists due to its complexity and tediousness. At the same time, databases of complex models ready for use are becoming widespread, and can help the ...

• Towards Recognizing of 3D Models Using A Single Image 

  Rashwan, Hatem A.; Chambon, Sylvie; Morin, Geraldine; Gurdjos, Pierre; Charvillat, Vincent (The Eurographics Association, 2017)

  As 3D data is getting more popular, techniques for retrieving a particular 3D model are necessary. We want to recognize a 3D model from a single photograph; as any user can easily get an image of a model he/she would like ...

• Retrieval of Surfaces with Similar Relief Patterns 

  Biasotti, S.; Thompson, E. Moscoso; Aono, M.; Hamza, A. Ben; Bustos, B.; Dong, S.; Du, B.; Fehri, A.; Li, H.; Limberger, F. A.; Masoumi, M.; Rezaei, M.; Sipiran, I.; Sun, L.; Tatsuma, A.; Forero, S. Velasco; Wilson, R. C.; Wu, Y.; Zhang, J.; Zhao, T.; Fornasa, F.; Giachetti, A. (The Eurographics Association, 2017)

  This paper presents the results of the SHREC'17 contest on retrieval of surfaces with similar relief patterns. The proposed task was created in order to verify the possibility of retrieving surface patches with a relief ...

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