Papers 3D Shape Classification
“3D Shape Classification” 태그가 달린 논문 85편 · 필터 해제
3D Pick & Mix: Object Part Blending in Joint Shape and Image Manifolds
We present 3D Pick & Mix, a new 3D shape retrieval system that provides users with a new level of freedom to explore 3D shape and Internet image collections by introducing the ability to reason about objects at the level…
3D Shape Classification3D Shape RetrievalRetrieval3D shape retrieval basing on representatives of classes
In this paper, we present an improvement of our proposed technique for 3D shape retrieval in classified databases [2] which is based on representatives of classes. Instead of systematically matching the object-query with…
3D Shape Classification3D Shape RetrievalRetrievalGenerating 3D Adversarial Point Clouds
Deep neural networks are known to be vulnerable to adversarial examples which are carefully crafted instances to cause the models to make wrong predictions. While adversarial examples for 2D images and CNNs have been ext…
3D Shape ClassificationAutonomous DrivingA Deeper Look at 3D Shape Classifiers
We investigate the role of representations and architectures for classifying 3D shapes in terms of their computational efficiency, generalization, and robustness to adversarial transformations. By varying the number of t…
3D Shape ClassificationComputational EfficiencyTransfer LearningPVNet: A Joint Convolutional Network of Point Cloud and Multi-View for 3D Shape Recognition
3D object recognition has attracted wide research attention in the field of multimedia and computer vision. With the recent proliferation of deep learning, various deep models with different representations have achieved…
3D Object Recognition3D Shape Classification3D Shape Recognition3D Shape Representation+2VERAM: View-Enhanced Recurrent Attention Model for 3D Shape Classification
Multi-view deep neural network is perhaps the most successful approach in 3D shape classification. However, the fusion of multi-view features based on max or average pooling lacks a view selection mechanism, limiting its…
3D Shape ClassificationClassificationGeneral ClassificationObject RecognitionDeep Cross-modality Adaptation via Semantics Preserving Adversarial Learning for Sketch-based 3D Shape Retrieval
Due to the large cross-modality discrepancy between 2D sketches and 3D shapes, retrieving 3D shapes by sketches is a significantly challenging task. To address this problem, we propose a novel framework to learn a discri…
3D Shape Classification3D Shape RetrievalMetric LearningRetrievalGVCNN: Group-View Convolutional Neural Networks for 3D Shape Recognition
3D shape recognition has attracted much attention recently. Its recent advances advocate the usage of deep features and achieve the state-of-the-art performance. However, existing deep features for 3D shape recognition a…
3D Shape Classification3D Shape Recognition3D Shape RepresentationRetrievalDeep Learning for Hand Gesture Recognition on Skeletal Data
In this paper, we introduce a new 3D hand gesture recognition approach based on a deep learning model. We introduce a new Convolutional Neural Network (CNN) where sequences of hand-skeletal joints’ positions are process…
3D Shape Classification3D Shape RetrievalClassificationDeep Learning+7Triplet-Center Loss for Multi-View 3D Object Retrieval
Most existing 3D object recognition algorithms focus on leveraging the strong discriminative power of deep learning models with softmax loss for the classification of 3D data, while learning discriminative features with …
3D Object Recognition3D Object Retrieval3D Shape Classification3D Shape Retrieval+63D-A-Nets: 3D Deep Dense Descriptor for Volumetric Shapes with Adversarial Networks
Recently researchers have been shifting their focus towards learned 3D shape descriptors from hand-craft ones to better address challenging issues of the deformation and structural variation inherently present in 3D obje…
3D Shape ClassificationClusteringRetrieval3D Shape Classification Using Collaborative Representation based Projections
A novel 3D shape classification scheme, based on collaborative representation learning, is investigated in this work. A data-driven feature-extraction procedure, taking the form of a simple projection operator, is in the…
3D Shape ClassificationClassificationGeneral ClassificationMulti-class Classification+1Ensemble Diffusion for Retrieval
As a postprocessing procedure, diffusion process has demonstrated its ability of substantially improving the performance of various visual retrieval systems. Whereas, great efforts are also devoted to similarity (or metr…
3D Shape Classification3D Shape RetrievalImage RetrievalRetrievalLearning Barycentric Representations of 3D Shapes for Sketch-Based 3D Shape Retrieval
Retrieving 3D shapes with sketches is a challenging problem since 2D sketches and 3D shapes are from two heterogeneous domains, which results in large discrepancy between them. In this paper, we propose to learn barycent…
3D Shape Classification3D Shape RetrievalRetrievalDesign, Analysis and Application of A Volumetric Convolutional Neural Network
The design, analysis and application of a volumetric convolutional neural network (VCNN) are studied in this work. Although many CNNs have been proposed in the literature, their design is empirical. In the design of the …
3D Shape ClassificationClassificationClusteringGeneral Classification3D Shape Retrieval via Irrelevance Filtering and Similarity Ranking (IF/SR)
A novel solution for the content-based 3D shape retrieval problem using an unsupervised clustering approach, which does not need any label information of 3D shapes, is presented in this work. The proposed shape retrieval…
3D Shape Classification3D Shape RetrievalClusteringRetrievalBeam Search for Learning a Deep Convolutional Neural Network of 3D Shapes
This paper addresses 3D shape recognition. Recent work typically represents a 3D shape as a set of binary variables corresponding to 3D voxels of a uniform 3D grid centered on the shape, and resorts to deep convolutional…
3D Shape Classification3D Shape RecognitionFacial Surface Analysis using Iso-Geodesic Curves in Three Dimensional Face Recognition System
In this paper, we present an automatic 3D face recognition system. This system is based on the representation of human faces surfaces as collections of Iso-Geodesic Curves (IGC) using 3D Fast Marching algorithm. To compa…
3D Shape Classification3D Shape RetrievalFace RecognitionRetrievalGIFT: A Real-time and Scalable 3D Shape Search Engine
Projective analysis is an important solution for 3D shape retrieval, since human visual perceptions of 3D shapes rely on various 2D observations from different view points. Although multiple informative and discriminativ…
3D Shape Classification3D Shape RetrievalGPURe-Ranking+1Learning Local Descriptors by Optimizing the Keypoint-Correspondence Criterion: Applications to Face Matching, Learning from Unlabeled Videos and 3D-Shape Retrieval
Current best local descriptors are learned on a large dataset of matching and non-matching keypoint pairs. However, data of this kind is not always available since detailed keypoint correspondences can be hard to establi…
3D Shape Classification3D Shape RetrievalRetrieval