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3D Object Recognition

7 papers with code · Computer Vision
Subtask of Object Recognition

3D object recognition is the task of recognising objects from 3D data.

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Greatest papers with code

Sparse 3D convolutional neural networks

12 May 2015facebookresearch/SparseConvNet

We have implemented a convolutional neural network designed for processing sparse three-dimensional input data.

3D OBJECT RECOGNITION ACTION RECOGNITION

Volumetric and Multi-View CNNs for Object Classification on 3D Data

CVPR 2016 charlesq34/3dcnn.torch

Empirical results from these two types of CNNs exhibit a large gap, indicating that existing volumetric CNN architectures and approaches are unable to fully exploit the power of 3D representations.

3D OBJECT RECOGNITION OBJECT CLASSIFICATION

FPNN: Field Probing Neural Networks for 3D Data

NeurIPS 2016 yangyanli/FPNN

Each field probing filter is a set of probing points --- sensors that perceive the space.

3D OBJECT RECOGNITION

Learning a Hierarchical Latent-Variable Model of 3D Shapes

17 May 2017lorenmt/vsl

We propose the Variational Shape Learner (VSL), a generative model that learns the underlying structure of voxelized 3D shapes in an unsupervised fashion.

3D OBJECT CLASSIFICATION 3D OBJECT RECOGNITION 3D RECONSTRUCTION 3D SHAPE GENERATION

Multi-level 3D CNN for Learning Multi-scale Spatial Features

30 May 2018idealab-isu/GPView

The multi-level voxel representation consists of a coarse voxel grid that contains volumetric information of the 3D object.

3D OBJECT RECOGNITION

Learning and Visualizing Localized Geometric Features Using 3D-CNN: An Application to Manufacturability Analysis of Drilled Holes

13 Nov 2017idealab-isu/GPView

3D Convolutional Neural Networks (3D-CNN) have been used for object recognition based on the voxelized shape of an object.

3D OBJECT RECOGNITION DECISION MAKING