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

Passive Filters01:27

Passive Filters

962
Passive filters are utilized to shape the frequency spectrum of signals across a diverse array of applications. These filters, using only passive elements like resistors (R), inductors (L), and capacitors (C), are capable of selectively allowing or blocking certain frequency ranges without the need for external power sources.
Low-Pass Filters
Low-pass filters are designed to transmit signals with frequencies lower than the cutoff frequency, ωc, and attenuate those above it. The cutoff...
962
Active Filters01:25

Active Filters

1.3K
Active filters are electronic circuits that use operational amplifiers (op-amps), resistors, and capacitors to filter out unwanted frequency components from a signal. A first-order low-pass active filter is designed to pass signals with a frequency lower than a certain cutoff frequency and attenuate frequencies higher than that cutoff frequency. The transfer function for a first-order low-pass active filter is:
1.3K
Trial and Error and Algorithm01:12

Trial and Error and Algorithm

398
A problem-solving strategy is a plan of action used to find a solution. Different strategies have distinct action plans. Trial and error involves trying different solutions until one works. For instance, to fix a broken printer, you might check ink levels, ensure the paper tray isn't jammed, and verify the printer's connection to your laptop. This method can be time-consuming but is commonly used. Thomas Edison, for example, used trial and error to find a suitable filament for the light...
398
Fast Fourier Transform01:10

Fast Fourier Transform

912
The Fast Fourier Transform (FFT) is a computational algorithm designed to compute the Discrete Fourier Transform (DFT) efficiently. By breaking down the calculations into smaller, manageable sections, the FFT significantly reduces the computational complexity involved. Direct computation of an N-point DFT requires N2 complex multiplications, whereas the FFT algorithm needs only (N/2)log⁡2N multiplications, offering a much faster performance.
The computational efficiency of the FFT becomes...
912
Gene Evolution - Fast or Slow?02:05

Gene Evolution - Fast or Slow?

8.0K
The genomes of eukaryotes are punctuated by long stretches of sequence which do not code for proteins or RNAs. Although some of these regions do contain crucial regulatory sequences, the vast majority of this DNA serves no known function. Typically, these regions of the genome are the ones in which the fastest change, in evolutionary terms, is observed, because there is typically little to no selection pressure acting on these regions to preserve their sequences.
In contrast, regions which code...
8.0K
Gene Evolution - Fast or Slow?02:05

Gene Evolution - Fast or Slow?

3.4K
3.4K

You might also read

Related Articles

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

Sort by
Same author

A Modified Multi-Strategy Dhole Optimization Algorithm and Its Engineering Applications.

Biomimetics (Basel, Switzerland)·2026
Same author

Research on UAV Path Planning Based on Enhanced Artificial Lemming Algorithm.

Biomimetics (Basel, Switzerland)·2026
Same author

Boosting simultaneous proton transfer and oxygen activation in hydrogen peroxide photosynthesis via phosphoric acid-functionalized carbon nitride.

Journal of colloid and interface science·2026
Same author

Reversible Transformation Mechanism between <b>Pd<sub>4</sub></b> and <b>Pd<sub>10</sub></b> Clusters and Their Catalytic Hydrogenation Activities.

ACS nano·2026
Same author

Multi-Strategy Fusion Improved Walrus Optimization Algorithm for Coverage Optimization in Wireless Sensor Networks.

Biomimetics (Basel, Switzerland)·2026
Same author

The Blood Urea Nitrogen to Albumin Ratio as a Prognostic Indicator in Patients with Uncomplicated Acute Type B Aortic Dissection After Thoracic Endovascular Aortic Repair.

European journal of cardio-thoracic surgery : official journal of the European Association for Cardio-thoracic Surgery·2026
Same journal

Invaders taking over-Mollusc faunal change in volcanic barrier lakes of the Albertine Rift biodiversity hotspot.

PloS one·2026
Same journal

AI-driven molecular diversification and ligand-based optimization of macitentan derivatives targeting VEGFR1 and endothelin signaling pathways.

PloS one·2026
Same journal

Performance patterns and records in the world aquatics masters championships: Where do the most frequently represented nations among the top-ten masters swimmers come from?

PloS one·2026
Same journal

Modeling diurnal Temperature-Rainfall relationships under multicollinearity using PLS-SEM: A case study of Ghana.

PloS one·2026
Same journal

Organizational culture, social capital, and emergency capacity in primary healthcare institutions: A cross-sectional structural equation modeling study comparing ordinary and older communities.

PloS one·2026
Same journal

Impact of kidney function on the metabolome in the general population.

PloS one·2026
See all related articles

Related Experiment Video

Updated: Jan 20, 2026

Obtaining 3D Chemical Maps by Energy Filtered Transmission Electron Microscopy Tomography
08:15

Obtaining 3D Chemical Maps by Energy Filtered Transmission Electron Microscopy Tomography

Published on: June 9, 2018

6.8K

A new fast filtering algorithm for a 3D point cloud based on RGB-D information.

Chaochuan Jia1,2, Ting Yang2, Chuanjiang Wang1

  • 1College of Mechanical & Electronic Engineering, Shandong University of Science and Technology, Qingdao, Shandong Province, China.

Plos One
|August 17, 2019
PubMed
Summary
This summary is machine-generated.

This study introduces an efficient RGB-D based method for removing outliers from point clouds. The technique effectively filters noise, improving data accuracy for applications like 3D scanning.

More Related Videos

A Rapid Filter Insert-based 3D Culture System for Primary Prostate Cell Differentiation
09:23

A Rapid Filter Insert-based 3D Culture System for Primary Prostate Cell Differentiation

Published on: February 13, 2017

8.9K
Cereal Crop Ear Counting in Field Conditions Using Zenithal RGB Images
11:49

Cereal Crop Ear Counting in Field Conditions Using Zenithal RGB Images

Published on: February 2, 2019

9.8K

Related Experiment Videos

Last Updated: Jan 20, 2026

Obtaining 3D Chemical Maps by Energy Filtered Transmission Electron Microscopy Tomography
08:15

Obtaining 3D Chemical Maps by Energy Filtered Transmission Electron Microscopy Tomography

Published on: June 9, 2018

6.8K
A Rapid Filter Insert-based 3D Culture System for Primary Prostate Cell Differentiation
09:23

A Rapid Filter Insert-based 3D Culture System for Primary Prostate Cell Differentiation

Published on: February 13, 2017

8.9K
Cereal Crop Ear Counting in Field Conditions Using Zenithal RGB Images
11:49

Cereal Crop Ear Counting in Field Conditions Using Zenithal RGB Images

Published on: February 2, 2019

9.8K

Area of Science:

  • Computer Vision
  • 3D Data Processing

Background:

  • Point clouds from RGB-D cameras contain outliers due to sensor limitations and surface properties.
  • Effective outlier removal is crucial for accurate 3D reconstruction and analysis.

Purpose of the Study:

  • To propose an effective and fast outlier removal method using RGB-D information.
  • To enhance the accuracy of point cloud data by removing noise.

Main Methods:

  • Aligning color images to depth images.
  • Converting color images to HSV color space.
  • Applying Otsu's algorithm for optimal V-channel segmentation.
  • Extracting valid point clouds using binary segmentation.

Main Results:

  • The proposed method demonstrates robustness against various noise types, light intensities, and contrast variations.
  • Experimental results confirm rapid and effective removal of all outlier types.
  • The method was successfully applied to independently developed foot scanning equipment.

Conclusions:

  • The developed RGB-D based method provides a fast and effective solution for point cloud outlier removal.
  • This technique significantly improves the quality of 3D data acquired from RGB-D sensors.