Browsing 3DOR: Eurographics Workshop on 3D Object Retrieval by Title

Now showing items 79-98 of 200

    • Key-component Detection on 3D Meshes using Local Features 

      Sipiran, Ivan; Bustos, Benjamin (The Eurographics Association, 2012)
      In this paper, we present a method to detect stable components on 3D meshes. A component is a region on the mesh which contains discriminative local features. Our goal is to represent a 3D mesh with a set of regions, which ...

    • Kinematic Skeleton Extraction Based on Motion Boundaries for 3D Dynamic Meshes 

      Benhabiles, Halim; Lavoué, Guillaume; Vandeborre, Jean-Philippe; Daoudi, Mohamed (The Eurographics Association, 2012)
      This paper presents a precise kinematic skeleton extraction method for 3D dynamic meshes. Contrary to previous methods, our method is based on the computation of motion boundaries instead of detecting object parts characterized ...

    • Labeled Facets: New Surface Texture Dataset 

      Ganapathi, Iyyakutti Iyappan; Werghi, Naoufel (The Eurographics Association, 2022)
      Object detection, recognition, segmentation, and retrieval have been at the forefront of 2D and 3D computer vision for a long time and have been utilized to address various problems in interdisciplinary domains. The 3D ...

    • Large Scale Comprehensive 3D Shape Retrieval 

      Li, B.; Lu, Y.; Li, C.; Godil, A.; Schreck, Tobias; Aono, M.; Chen, Q.; Chowdhury, N. K.; Fang, B.; Furuya, T.; Johan, H.; Kosaka, R.; Koyanagi, H.; Ohbuchi, R.; Tatsuma, A. (The Eurographics Association, 2014)
      The objective of this track is to evaluate the performance of 3D shape retrieval approaches on a large-scale comprehensive 3D shape database that contains different types of models, such as generic, articulated, CAD and ...

    • Large-Scale 3D Shape Retrieval from ShapeNet Core55 

      Savva, M.; Yu, F.; Su, Hao; Aono, M.; Chen, B.; Cohen-Or, D.; Deng, W.; Su, Hang; Bai, S.; Bai, X.; Fish, N.; Han, J.; Kalogerakis, E.; Learned-Miller, E. G.; Li, Y.; Liao, M.; Maji, S.; Tatsuma, A.; Wang, Y.; Zhang, N.; Zhou, Z. (The Eurographics Association, 2016)
      With the advent of commodity 3D capturing devices and better 3D modeling tools, 3D shape content is becoming increasingly prevalent. Therefore, the need for shape retrieval algorithms to handle large-scale shape repositories ...

    • Large-Scale 3D Shape Retrieval from ShapeNet Core55 

      Savva, Manolis; Yu, Fisher; Su, Hao; Kanezaki, Asako; Furuya, Takahiko; Ohbuchi, Ryutarou; Zhou, Zhichao; Yu, Rui; Bai, Song; Bai, Xiang; Aono, Masaki; Tatsuma, Atsushi; Thermos, S.; Axenopoulos, A.; Papadopoulos, G. Th.; Daras, P.; Deng, Xiao; Lian, Zhouhui; Li, Bo; Johan, Henry; Lu, Yijuan; Mk, Sanjeev (The Eurographics Association, 2017)
      With the advent of commodity 3D capturing devices and better 3D modeling tools, 3D shape content is becoming increasingly prevalent. Therefore, the need for shape retrieval algorithms to handle large-scale shape repositories ...

    • Learning Kernels on Extended Reeb Graphs for 3D Shape Classification and Retrieval 

      Barra, Vincent; Biasotti, Silvia (The Eurographics Association, 2013)
      This paper addresses 3D shape classification and retrieval in terms of supervised selection of the most significant features in a space of attributed graphs encoding different shape characteristics. For this purpose, 3D ...

    • Learning the Compositional Structure of Man-Made Objects for 3D Shape Retrieval 

      Wessel, Raoul; Klein, Reinhard (The Eurographics Association, 2010)
      While approaches based on local features play a more and more important role for 3D shape retrieval, the problems of feature selection and similarity measurement between sets of local features still remain open tasks. ...

    • LightNet: A Lightweight 3D Convolutional Neural Network for Real-Time 3D Object Recognition 

      Zhi, Shuaifeng; Liu, Yongxiang; Li, Xiang; Guo, Yulan (The Eurographics Association, 2017)
      With the rapid growth of 3D data, accurate and efficient 3D object recognition becomes a major problem. Machine learning methods have achieved the state-of-the-art performance in the area, especially for deep convolutional ...

    • Local Goemetrical Feature with Spatial Context for Shape-based 3D Model Retrieval 

      Kawamura, Shun; Usui, Kazuya; Furuya, Takahiko; Ohbuchi, Ryutarou (The Eurographics Association, 2012)
      With recent popularity of 3D models, retrieval and recognition of 3D models based on their shape has become an important subject of study. This paper proposes a 3D model retrieval algorithm that is invariant to global ...

    • Local Signature Quantization by Sparse Coding 

      Boscaini, Davide; Castellani, Umberto (The Eurographics Association, 2013)
      In 3D object retrieval it is very important to define reliable shape descriptors, which compactly characterize geometric properties of the underlying surface. To this aim two main approaches are considered: global, and ...

    • Manifold Harmonic Transform and Spatial Relationships for Partial 3D Object Retrieval 

      Hoang, Nguyen Vu; Gouet-Brunet, Valérie (The Eurographics Association, 2014)
      This paper presents an approach for 3D object retrieval, dedicated to partial shape retrieval in large datasets. A word manipulation, i.e. quantized descriptors, as in the Bag-of-Words representation is employed, based on ...

    • Markov Random Fields for Improving 3D Mesh Analysis and Segmentation 

      Lavoué, Guillaume; Wolf, Christian (The Eurographics Association, 2008)
      Mesh analysis and clustering have became important issues in order to improve the efficiency of common processing operations like compression, watermarking or simplification. In this context we present a new method for ...

    • Matching Humans with Different Connectivity 

      Melzi, S.; Marin, R.; Rodolà, E.; Castellani, U.; Ren, J.; Poulenard, A.; Wonka, P.; Ovsjanikov, M. (The Eurographics Association, 2019)
      Objects Matching is a ubiquitous problem in computer science with particular relevance for many applications; property transfer between 3D models and statistical study for learning are just some remarkable examples. The ...

    • Matching of Deformable Shapes with Topological Noise 

      Lähner, Z.; Rodolà, E.; Bronstein, M. M.; Cremers, D.; Burghard, O.; Cosmo, L.; Dieckmann, A.; Klein, R.; Sahillioglu, Y. (The Eurographics Association, 2016)
      A particularly challenging setting of the shape matching problem arises when the shapes being matched have topological artifacts due to the coalescence of spatially close surface regions - a scenario that frequently occurs ...

    • 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 ...

    • Monocular Image Based 3D Model Retrieval 

      Li, Wenhui; Liu, Anan; Nie, Weizhi; Song, Dan; Li, Yuqian; Wang, Weijie; Xiang, Shu; Zhou, Heyu; Bui, Ngoc-Minh; Cen, Yunchi; Chen, Zenian; Chung-Nguyen, Huy-Hoang; Diep, Gia-Han; Do, Trong-Le; Doubrovski, Eugeni L.; Duong, Anh-Duc; Geraedts, Jo M. P.; Guo, Haobin; Hoang, Trung-Hieu; Li, Yichen; Liu, Xing; Liu, Zishun; Luu, Duc-Tuan; Ma, Yunsheng; Nguyen, Vinh-Tiep; Nie, Jie; Ren, Tongwei; Tran, Mai-Khiem; Tran-Nguyen, Son-Thanh; Tran, Minh-Triet; Vu-Le, The-Anh; Wang, Charlie C. L.; Wang, Shijie; Wu, Gangshan; Yang, Caifei; Yuan, Meng; Zhai, Hao; Zhang, Ao; Zhang, Fan; Zhao, Sicheng (The Eurographics Association, 2019)
      Monocular image based 3D object retrieval is a novel and challenging research topic in the field of 3D object retrieval. Given a RGB image captured in real world, it aims to search for relevant 3D objects from a dataset. ...

    • Morphological Analysis of 3D Faces for Weight Gain Assessment 

      Giorgi, Daniela; Pascali, Maria Antonietta; Raccichini, Giovanni; Colantonio, Sara; Salvetti, Ovidio (The Eurographics Association, 2015)
      In this paper we analyse patterns in face shape variation due to weight gain. We propose the use of persistent homology descriptors to get geometric and topological information about the configuration of anthropometric 3D ...

    • mpLBP: An Extension of the Local Binary Pattern to Surfaces based on an Efficient Coding of the Point Neighbours 

      Moscoso Thompson, Elia; Biasotti, Silvia; Digne, Julie; Chaine, Raphaëlle (The Eurographics Association, 2019)
      The description of surface textures in terms of repeated colorimetric and geometric local surface variations is a crucial task for several applications, such as object interpretation or style identification. Recently, ...

    • Multilevel Relevance Feedback for 3D Shape Retrieval 

      Giorgi, Daniela; Frosini, Patrizio; Spagnuolo, Michela; Falcidieno, Bianca (The Eurographics Association, 2009)
      Relevance feedback techniques are expected to play an important role in 3D search engines, as they help to bridge the semantic gap between the user and the system: similarity is a cognitive process, depending on the observer. ...