3DOR: Eurographics Workshop on 3D Object Retrieval: Recent submissions
Now showing items 41-60 of 200
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Person Re-Identification from Depth Cameras using Skeleton and 3D Face Data
(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, ... -
Recognition of Geometric Patterns Over 3D Models
(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 ... -
Non-rigid 3D Model Classification Using 3D Hahn Moment Convolutional Neural Networks
(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 ... -
Protein Shape Retrieval
(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
(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
(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
(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 ... -
Geodesic-based 3D Shape Retrieval Using Sparse Autoencoders
(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, ... -
Automatic Extraction of Complex 3D Structures Application to the Inner Ear Segmentation from Cone Beam CT Digital Volumes
(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) ... -
2D Scene Sketch-Based 3D Scene Retrieval
(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 ... -
Edge-based LBP Description of Surfaces with Colorimetric Patterns
(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
(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
(Eurographics Association, 2018) -
Directed Curvature Histograms for Robotic Grasping
(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 ... -
Towards Recognizing of 3D Models Using A Single Image
(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 ... -
Semantic Correspondence Across 3D Models for Example-based Modeling
(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 ... -
Retrieval of Surfaces with Similar Relief Patterns
(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 ... -
3D Mesh Unfolding via Semidefinite Programming
(The Eurographics Association, 2017)Mesh unfolding is a powerful pre-processing tool for many tasks such as non-rigid shape matching and retrieval. Shapes with articulated parts may exist large variants in pose, which brings difficulties to those tasks. With ... -
Deformable Shape Retrieval with Missing Parts
(The Eurographics Association, 2017)Partial similarity problems arise in numerous applications that involve real data acquisition by 3D sensors, inevitably leading to missing parts due to occlusions and partial views. In this setting, the shapes to be retrieved ... -
Point-Cloud Shape Retrieval of Non-Rigid Toys
(The Eurographics Association, 2017)In this paper, we present the results of the SHREC'17 Track: Point-Cloud Shape Retrieval of Non-Rigid Toys. The aim of this track is to create a fair benchmark to evaluate the performance of methods on the non-rigid ...