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

Velocity of an Object01:18

Velocity of an Object

199
Understanding how an object moves along a path requires distinguishing between motion over a time span and motion at a precise moment. A useful example is a vehicle traveling along a straight and level path, where its position at any given time is known. The initial step in analyzing this motion is to measure how far the vehicle travels over a fixed time period. This measurement, called average velocity, is computed by dividing the total change in position by the duration over which the change...
199
Local Anesthetics: Clinical Application as Surface, Infiltration, and Conduction Block Anesthesia01:30

Local Anesthetics: Clinical Application as Surface, Infiltration, and Conduction Block Anesthesia

2.0K
Depending on the target organ, local anesthetics (LAs) can be administered via various routes. In surface anesthesia, LAs are applied directly to the surface of the skin or mucous membranes. It is widely used for topical skin numbing before venipuncture or minor surgical procedures. Commonly used surface local anesthetics are lidocaine or benzocaine sprays or creams. Surface anesthesia occurs within 5 minutes and lasts for about 60 minutes. One of the main disadvantages of topical anesthesia is...
2.0K
Potential Due to a Polarized Object01:29

Potential Due to a Polarized Object

770
A neutral atom consists of a positively charged nucleus surrounded by a negatively charged electron cloud. When placed in an external electric field, the external electric force pulls the electrons and nucleus apart, opposite to the intrinsic attraction between the nucleus and the electrons. The opposing forces balance each other with a slight shift between the center of masses of the nucleus and the electron cloud, resulting in a polarized atom. On the other hand, a few molecules, like water,...
770
Potential Due to a Magnetized Object01:24

Potential Due to a Magnetized Object

793
Magnetic dipoles in magnetic materials are aligned when placed under an external magnetic field. For paramagnets and ferromagnets, dipole alignment occurs in the direction of the magnetic field. However, the dipoles align opposite to the field in the case of diamagnets. This state of magnetic polarization due to the external field is called magnetization. Magnetization is defined as the dipole moment per unit volume. It plays a similar role to polarization in electrostatics.
The vector...
793
Moment of Inertia of Compound Objects01:07

Moment of Inertia of Compound Objects

7.6K
The moment of inertia is a quantitative measure of the rotational inertia of an object. It is defined as the sum of the products obtained by multiplying the mass of each particle of matter in a given body by the square of its distance from the axis. The total moment of inertia for compound objects can be found by determining and adding the moment of inertia of individual components together.
Consider a child of mass (mc) 25 kg standing at a distance (rc) of 1 m from the axis of a rotating...
7.6K
Surface Tension and Surface Energy01:16

Surface Tension and Surface Energy

3.2K
When a paint brush is immersed in water, the bristles wave freely inside the water. When it is taken out, the bristles stick together. The reason behind this effect is surface tension.
Consider a beaker filled with liquid. The bulk molecules in the liquid experience equal attractive forces on all sides with the surrounding molecules. However, the surface molecules experience a net attractive force downward due to the bulk molecules. The surface of the liquid behaves like a stretched membrane,...
3.2K

You might also read

Related Articles

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

Sort by
Same author

High-cell-density cultivation of Vibrio natriegens N5.3 on chitin monomers: a step toward chitin valorization.

Biotechnology letters·2026
Same author

Optimizing flexural strength of RC beams with recycled aggregates and CFRP using machine learning models.

Scientific reports·2024
Same author

ERK1/2 activation is required for resveratrol-induced apoptosis in MDA-MB-231 cells.

International journal of oncology·2008
See all related articles

Related Experiment Video

Updated: Jan 29, 2026

Novel Object Recognition and Object Location Behavioral Testing in Mice on a Budget
05:57

Novel Object Recognition and Object Location Behavioral Testing in Mice on a Budget

Published on: November 20, 2018

58.9K

A Novel Surface Descriptor for Automated 3-D Object Recognition and Localization.

Liang-Chia Chen1, Thanh-Hung Nguyen2

  • 1Department of Mechanical Engineering, National Taiwan University, Taipei 10617, Taiwan. lchen@ntu.edu.tw.

Sensors (Basel, Switzerland)
|February 21, 2019
PubMed
Summary

This study introduces a new method for recognizing and locating 3-D objects using 3-D object segmentation and regional descriptors. The approach accurately identifies objects in point clouds, achieving high precision in localization.

Keywords:
3-D descriptor3-D point cloudMachine visionobject localizationobject recognitionobject segmentation

More Related Videos

Novel Object Recognition Test for the Investigation of Learning and Memory in Mice
08:52

Novel Object Recognition Test for the Investigation of Learning and Memory in Mice

Published on: August 30, 2017

77.3K
Creating Objects and Object Categories for Studying Perception and Perceptual Learning
14:38

Creating Objects and Object Categories for Studying Perception and Perceptual Learning

Published on: November 2, 2012

12.2K

Related Experiment Videos

Last Updated: Jan 29, 2026

Novel Object Recognition and Object Location Behavioral Testing in Mice on a Budget
05:57

Novel Object Recognition and Object Location Behavioral Testing in Mice on a Budget

Published on: November 20, 2018

58.9K
Novel Object Recognition Test for the Investigation of Learning and Memory in Mice
08:52

Novel Object Recognition Test for the Investigation of Learning and Memory in Mice

Published on: August 30, 2017

77.3K
Creating Objects and Object Categories for Studying Perception and Perceptual Learning
14:38

Creating Objects and Object Categories for Studying Perception and Perceptual Learning

Published on: November 2, 2012

12.2K

Area of Science:

  • Robotics and Computer Vision
  • 3-D Object Recognition and Localization

Background:

  • Automated recognition and localization of 3-D objects are crucial in various fields.
  • Handling unstructured point clouds with randomly stacked objects presents significant challenges.

Purpose of the Study:

  • To present a novel approach for automated 3-D object recognition and localization.
  • To segment randomly stacked objects from unstructured point clouds and accurately determine their position and orientation.

Main Methods:

  • 3-D object segmentation is employed to isolate individual objects within the point cloud.
  • A regional area-based descriptor is computed for each segmented object based on its oriented bounding box (OBB).
  • Object recognition is performed by comparing the computed descriptor with a database of template descriptors, followed by iterative closest point (ICP) algorithm for precise localization.

Main Results:

  • The proposed method successfully segments and recognizes objects in unstructured point clouds.
  • Experimental results demonstrate the feasibility and effectiveness of the approach.
  • The method achieves a mean deviation and standard deviation below half the spatial resolution (1.05 mm) of the measured point clouds.

Conclusions:

  • The developed approach offers a robust solution for 3-D object recognition and localization in complex scenarios.
  • The use of regional area-based descriptors combined with ICP provides accurate object identification and pose estimation.
  • The method's high precision validates its potential for real-world applications requiring accurate 3-D spatial understanding.