A Survey on RGB-D Datasets

01/15/2022
by   Alexandre Lopes, et al.
218

RGB-D data is essential for solving many problems in computer vision. Hundreds of public RGB-D datasets containing various scenes, such as indoor, outdoor, aerial, driving, and medical, have been proposed. These datasets are useful for different applications and are fundamental for addressing classic computer vision tasks, such as monocular depth estimation. This paper reviewed and categorized image datasets that include depth information. We gathered 203 datasets that contain accessible data and grouped them into three categories: scene/objects, body, and medical. We also provided an overview of the different types of sensors, depth applications, and we examined trends and future directions of the usage and creation of datasets containing depth data, and how they can be applied to investigate the development of generalizable machine learning models in the monocular depth estimation field.

READ FULL TEXT
POST COMMENT

Comments

There are no comments yet.

Authors

page 4

page 8

page 9

page 10

page 12

page 14

page 16

page 17

05/03/2022

Outdoor Monocular Depth Estimation: A Research Review

Depth estimation is an important task, applied in various methods and ap...
11/09/2020

Deep Learning based Monocular Depth Prediction: Datasets, Methods and Applications

Estimating depth from RGB images can facilitate many computer vision tas...
10/07/2016

ResearchDoom and CocoDoom: Learning Computer Vision with Games

In this short note we introduce ResearchDoom, an implementation of the D...
06/14/2016

Multiple Human Tracking in RGB-D Data: A Survey

Multiple human tracking (MHT) is a fundamental task in many computer vis...
01/28/2022

Unsupervised Single-shot Depth Estimation using Perceptual Reconstruction

Real-time estimation of actual object depth is a module that is essentia...
11/16/2021

Towards Real-Time Monocular Depth Estimation for Robotics: A Survey

As an essential component for many autonomous driving and robotic activi...
03/09/2020

Low-viewpoint forest depth dataset for sparse rover swarms

Rapid progress in embedded computing hardware increasingly enables on-bo...
This week in AI

Get the week's most popular data science and artificial intelligence research sent straight to your inbox every Saturday.