Delft, the Netherlands | April,16, 2018
Edge-based LBP Description of Surfaces with Colorimetric Patterns
Microshapes: Efficient Querying of 3D Object Collections based on Local Shape
Automatic Extraction of Complex 3D Structures Application to the Inner Ear Segmentation from Cone Beam CT Digital Volumes
Geodesic-based 3D Shape Retrieval Using Sparse Autoencoders
2D Scene Sketch-Based 3D Scene Retrieval
2D Image-Based 3D Scene Retrieval
RGB-D Object-to-CAD Retrieval
Protein Shape Retrieval
Retrieval of Gray Patterns Depicted on 3D Models
Recognition of Geometric Patterns Over 3D Models
Non-rigid 3D Model Classification Using 3D Hahn Moment Convolutional Neural Networks
Completion of Cultural Heritage Objects with Rotational Symmetry
Person Re-Identification from Depth Cameras using Skeleton and 3D Face Data
Experimental Similarity Assessment for a Collection of Fragmented Artifacts
Performing Image-like Convolution on Triangular Meshes
(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 ...
(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 ...
(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. ...
(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, ...
(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 ...
(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 ...
(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 ...
(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 ...
(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 ...
(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 ...
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) ...
(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, ...
(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 ...
(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 ...
(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 ...
(Eurographics Association, 2018)