Lyon, France | April, 23 - 24, 2017
Paper Session I
Exploiting the PANORAMA Representation for Convolutional Neural Network Classification and Retrieval
LightNet: A Lightweight 3D Convolutional Neural Network for Real-Time 3D Object Recognition
Unstructured Point Cloud Semantic Labeling Using Deep Segmentation Networks
SHREC Session I
RGB-D to CAD Retrieval with ObjectNN Dataset
3D Hand Gesture Recognition Using a Depth and Skeletal Dataset
Large-Scale 3D Shape Retrieval from ShapeNet Core55
Shape Similarity System driven by Digital Elevation Models for Non-rigid Shape Retrieval
Sketch-based 3D Object Retrieval with Skeleton Line Views - Initial Results and Research Problems
GSHOT: a Global Descriptor from SHOT to Reduce Time and Space Requirements
A Framework Based on Compressed Manifold Modes for Robust Local Spectral Analysis
SHREC Session II
Protein Shape Retrieval
Point-Cloud Shape Retrieval of Non-Rigid Toys
Deformable Shape Retrieval with Missing Parts
Retrieval of Surfaces with Similar Relief Patterns
Paper Session II
3D Mesh Unfolding via Semidefinite Programming
Directed Curvature Histograms for Robotic Grasping
Semantic Correspondence Across 3D Models for Example-based Modeling
Towards Recognizing of 3D Models Using A Single Image
(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 ...
(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 ...
(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 ...
(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 ...
(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 ...
(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 ...
(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 ...
(The Eurographics Association, 2017)The large number of protein structures deposited in the protein database provide an opportunity to examine the structure relations using computational algorithms, which can be used to classify the structures based on shape ...
(The Eurographics Association, 2017)Compressed Manifold Modes (CMM) were recently introduced as a solution to one of the drawbacks of spectral analysis on triangular meshes. The eigenfunctions of the Laplace-Beltrami operator on a mesh depend on the whole ...
(The Eurographics Association, 2017)Hand-drawn sketches are a convenient way to define 3D object retrieval queries. Numerous methods have been proposed for sketch-based 3D object retrieval. Such methods employ a non-photo-realistic rendering step to create ...
(The Eurographics Association, 2017)This paper presents a new 3D global feature descriptor for object recognition using shape representation on organized point clouds. Object recognition applications usually require significant speed and memory. The proposed ...
(The Eurographics Association, 2017)Shape similarity computation is the main functionality for shape matching and shape retrieval systems. Existing shape similarity frameworks proceed by parameterizing shapes through the use of global and/or local representations ...
(The Eurographics Association, 2017)Hand gesture recognition is recently becoming one of the most attractive field of research in pattern recognition. The objective of this track is to evaluate the performance of recent recognition approaches using a challenging ...
(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 ...
(The Eurographics Association, 2017)In this work, we describe a new, general, and efficient method for unstructured point cloud labeling. As the question of efficiently using deep Convolutional Neural Networks (CNNs) on 3D data is still a pending issue, we ...
(The Eurographics Association, 2017)The goal of this track is to study and evaluate the performance of 3D object retrieval algorithms using RGB-D data. This is inspired from the practical need to pair an object acquired from a consumer-grade depth camera to ...
(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 ...
(Eurographics Association, 2017)
Exploiting the PANORAMA Representation for Convolutional Neural Network Classification and Retrieval (The Eurographics Association, 2017)A novel 3D model classification and retrieval method, based on the PANORAMA representation and Convolutional Neural Networks, is presented. Initially, the 3D models are pose normalized using the SYMPAN method and consecutively ...