Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Leveling Effect and Non-Aqueous Acid-Base Solutions02:11

Leveling Effect and Non-Aqueous Acid-Base Solutions

9.4K
This lesson defines the leveling effect in acidic and basic solutions and its role in aqueous and non-aqueous solutions. It is essential to understand the competing nature of various species in a chemical system.
The Leveling Effect of a Solvent
A generic acid (HA) reacts with the generic base (B-) to yield the corresponding conjugate base (A-) and conjugate acid (HB):
9.4K
Levels of Organization01:09

Levels of Organization

140.5K
Biological organization is the classification of biological structures, ranging from atoms at the bottom of the hierarchy to the Earth's biosphere. Each level of the hierarchy represents an increase in complexity that builds upon the previous level.
Molecules Are Composed of Atoms, and Biomolecules Are Assembled from Molecules:
The most basic levels include atoms, molecules, and biomolecules. Atoms, the smallest unit of ordinary matter, are composed of a nucleus and electrons. Molecules...
140.5K
Leveling Effect01:29

Leveling Effect

1.4K
In acid-base chemistry, the leveling effect refers to the limitation imposed by the solvent on the strength of acids and bases in solution. When a base stronger than the solvent's conjugate base is used, it deprotonates the solvent until the base is entirely consumed, making it ineffective against weaker acids. Conversely, an acid stronger than the solvent's conjugate acid protonates the solvent until the acid is depleted, rendering it ineffective against weaker bases. Essentially, the...
1.4K
High-Level and Low-Level Awareness01:19

High-Level and Low-Level Awareness

713
Controlled processes in human consciousness represent high-alert mental states where individuals deliberately focus their attention on achieving specific goals. Controlled processes can be seen in situations like mastering new technology, where a person might become so absorbed that they ignore surrounding distractions. Such processes involve selective attention, requiring one to concentrate on particular elements of experience while disregarding others. These are governed by executive...
713
Fermi Level01:18

Fermi Level

1.8K
The Fermi-Dirac function is represented by an S-shaped curve indicating the probability of an energy state being occupied by an electron at a given temperature. The Fermi level is the energy level at which there is a fifty percent chance of finding an electron, and it is positioned between the lower-energy valence band and the higher-energy conduction band.
At absolute zero temperature, electrons fill all energy states up to the Fermi level, leaving upper states empty. As the temperature rises,...
1.8K
Structure of Lipids03:38

Structure of Lipids

98.7K
Lipids include a diverse group of compounds that are largely nonpolar in nature. This is because they are hydrocarbons that include mostly nonpolar carbon-carbon or carbon-hydrogen bonds. Non-polar molecules are hydrophobic (“water fearing”), or insoluble in water. Lipids perform many different functions in a cell. Cells store energy for long-term use in the form of fats. Lipids also provide insulation from the environment for plants and animals. For example, they help keep aquatic...
98.7K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Three-Dimensional Landing Zone Segmentation in Urbanized Aerial Images from Depth Information Using a Deep Neural Network-Superpixel Approach.

Sensors (Basel, Switzerland)·2025
Same author

Plant Stress Detection Using a Three-Dimensional Analysis from a Single RGB Image.

Sensors (Basel, Switzerland)·2024
Same author

A Study on Generative Models for Visual Recognition of Unknown Scenes Using a Textual Description.

Sensors (Basel, Switzerland)·2023
Same author

Single-Pixel Near-Infrared 3D Image Reconstruction in Outdoor Conditions.

Micromachines·2022
Same author

Towards Autonomous Drone Racing without GPU Using an OAK-D Smart Camera.

Sensors (Basel, Switzerland)·2021
Same author

A Review on Auditory Perception for Unmanned Aerial Vehicles.

Sensors (Basel, Switzerland)·2020

Related Experiment Video

Updated: Jan 30, 2026

An Approach to Study Shape-Dependent Transcriptomics at a Single Cell Level
06:02

An Approach to Study Shape-Dependent Transcriptomics at a Single Cell Level

Published on: November 2, 2020

6.2K

High Level 3D Structure Extraction from a Single Image Using a CNN-Based Approach.

J A de Jesús Osuna-Coutiño1, Jose Martinez-Carranza2,3

  • 1Department of Computer Science, Instituto Nacional de Astrofísica, Óptica y Electrónica, 72840 Puebla, Mexico. osuna@inaoep.mx.

Sensors (Basel, Switzerland)
|February 1, 2019
PubMed
Summary

This study introduces a novel method for High-Level Structure (HLS) extraction from single images. The approach uses deep learning and image analysis to identify 3D elements, overcoming limitations of multi-view or point cloud methods.

Keywords:
3D visionCNNdepth data analysishigh level 3D structure extractionsingle image

More Related Videos

Imaging and 3D Reconstruction of Cerebrovascular Structures in Embryonic Zebrafish
08:00

Imaging and 3D Reconstruction of Cerebrovascular Structures in Embryonic Zebrafish

Published on: April 22, 2014

15.3K
Correlative Microscopy for 3D Structural Analysis of Dynamic Interactions
13:43

Correlative Microscopy for 3D Structural Analysis of Dynamic Interactions

Published on: June 24, 2013

14.5K

Related Experiment Videos

Last Updated: Jan 30, 2026

An Approach to Study Shape-Dependent Transcriptomics at a Single Cell Level
06:02

An Approach to Study Shape-Dependent Transcriptomics at a Single Cell Level

Published on: November 2, 2020

6.2K
Imaging and 3D Reconstruction of Cerebrovascular Structures in Embryonic Zebrafish
08:00

Imaging and 3D Reconstruction of Cerebrovascular Structures in Embryonic Zebrafish

Published on: April 22, 2014

15.3K
Correlative Microscopy for 3D Structural Analysis of Dynamic Interactions
13:43

Correlative Microscopy for 3D Structural Analysis of Dynamic Interactions

Published on: June 24, 2013

14.5K

Area of Science:

  • Computer Vision
  • 3D Reconstruction
  • Machine Learning

Background:

  • High-Level Structure (HLS) extraction typically requires multiple images or 3D point clouds.
  • Existing methods face limitations in data acquisition and processing complexity.

Purpose of the Study:

  • To propose a novel methodology for HLS extraction from a single image.
  • To overcome the constraints of multi-view or point cloud-based approaches.
  • To achieve promising results in single-image HLS extraction.

Main Methods:

  • Utilizes a Convolutional Neural Network (CNN) for single-image depth prediction.
  • Employs region-wise analysis to refine depth estimates.
  • Incorporates graph analysis for semantic orientation segmentation of depth data.
  • Applies a novel CNN architecture for predicting HLS as cubes and rectangular parallelepipeds.

Main Results:

  • Demonstrates a novel approach for HLS extraction using only a single image.
  • Achieves promising results by integrating depth estimation, region analysis, and graph-based segmentation.
  • Successfully predicts High-Level Structures in the form of geometric primitives.

Conclusions:

  • The proposed methodology offers an effective alternative for HLS extraction from single images.
  • This approach reduces reliance on complex multi-view or 3D data processing.
  • The integration of CNNs and graph analysis shows potential for advancing single-image 3D understanding.