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3D Object Recognition

13 papers with code ยท Computer Vision
Subtask of Object Recognition

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

Note that there are related tasks you can look at, such as 3D Object Detection which have more leaderboards.

( Image credit: Look Further to Recognize Better )

Benchmarks

Latest papers without code

Active Perception using Light Curtains for Autonomous Driving

5 Aug 2020

Most real-world 3D sensors such as LiDARs perform fixed scans of the entire environment, while being decoupled from the recognition system that processes the sensor data.

3D OBJECT RECOGNITION AUTONOMOUS DRIVING

YOLO and K-Means Based 3D Object Detection Method on Image and Point Cloud

21 Apr 2020

In our research, Camera can capture the image to make the Real-time 2D Object Detection by using YOLO, I transfer the bounding box to node whose function is making 3d object detection on point cloud data from Lidar.

3D OBJECT DETECTION 3D OBJECT RECOGNITION

3D Object Detection Method Based on YOLO and K-Means for Image and Point Clouds

21 Apr 2020

In our research, camera can capture the image to make the Real-time 2D object detection by using YOLO, we transfer the bounding box to node whose function is making 3d object detection on point cloud data from Lidar.

3D OBJECT DETECTION 3D OBJECT RECOGNITION AUTONOMOUS DRIVING

Triangle-Net: Towards Robustness in Point Cloud Classification

27 Feb 2020

In this regard, we propose a novel approach for 3D classification that takes sparse point clouds as input and learns a model that is robust to rotational and positional variance as well as point sparsity.

3D OBJECT RECOGNITION AUTONOMOUS VEHICLES OBJECT CLASSIFICATION

Investigating the Importance of Shape Features, Color Constancy, Color Spaces and Similarity Measures in Open-Ended 3D Object Recognition

10 Feb 2020

In this paper, we explore the importance of shape information, color constancy, color spaces, and various similarity measures in open-ended 3D object recognition.

3D OBJECT RECOGNITION COLOR CONSTANCY

Variable-Viewpoint Representations for 3D Object Recognition

8 Feb 2020

For the problem of 3D object recognition, researchers using deep learning methods have developed several very different input representations, including "multi-view" snapshots taken from discrete viewpoints around an object, as well as "spherical" representations consisting of a dense map of essentially ray-traced samples of the object from all directions.

3D OBJECT RECOGNITION

Interactive Open-Ended Learning for 3D Object Recognition

19 Dec 2019

In particular, this architecture provides perception capabilities that will allow robots to incrementally learn object categories from the set of accumulated experiences and reason about how to perform complex tasks.

3D OBJECT RECOGNITION

L3DOC: Lifelong 3D Object Classification

12 Dec 2019

To further transfer the task-specific knowledge from previous tasks to the new coming classification task, a memory attention mechanism is proposed to connect the current task with relevant previously tasks, which can effectively prevent catastrophic forgetting via soft-transferring previous knowledge.

3D OBJECT CLASSIFICATION 3D OBJECT RECOGNITION OBJECT CLASSIFICATION

Representation Learning on Unit Ball with 3D Roto-Translational Equivariance

30 Nov 2019

In this work, we propose a novel `\emph{volumetric convolution}' operation that can effectively model and convolve arbitrary functions in $\mathbb{B}^3$.

3D OBJECT RECOGNITION REPRESENTATION LEARNING

SceneGraphNet: Neural Message Passing for 3D Indoor Scene Augmentation

ICCV 2019

In this paper we propose a neural message passing approach to augment an input 3D indoor scene with new objects matching their surroundings.

3D OBJECT RECOGNITION SCENE GENERATION