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

Automatic Processing and Automatic Social Behavior01:28

Automatic Processing and Automatic Social Behavior

274
Automatic processing refers to the cognitive operations that occur without conscious intent or awareness, playing a fundamental role in shaping social cognition and behavior. These processes enable individuals to navigate complex social environments efficiently by relying on mental shortcuts and pre-existing knowledge structures known as schemas. One of the most influential mechanisms underlying automatic processing is priming, which subtly activates mental representations through exposure to...
274

You might also read

Related Articles

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

Sort by
Same author

Synchronised Video, Motion Capture and Force Plate Dataset for Validating Markerless Human Movement Analysis.

Scientific data·2024
Same author

Expression perceptive fields explain individual differences in the recognition of facial emotions.

Communications psychology·2024
Same author

The Utilitarian Virtual Self - Using Embodied Personalized Avatars to Investigate Moral Decision-Making in Semi-Autonomous Vehicle Dilemmas.

IEEE transactions on visualization and computer graphics·2024
Same author

Examination of 2D frontal and sagittal markerless motion capture: Implications for markerless applications.

PloS one·2023
Same author

Genetic algorithms reveal identity independent representation of emotional expressions.

Emotion (Washington, D.C.)·2023
Same author

Biomimetic, pH-Responsive Nanoplatforms for Cancer Multimodal Imaging and Photothermal Immunotherapy.

ACS applied materials & interfaces·2022
Same journal

Thymidylate synthase inhibitory drugs induce p53-dependent pathways differently.

PloS one·2026
Same journal

Top-down and bottom-up attention for joint pattern classification and reconstruction.

PloS one·2026
Same journal

Short- and long-term scaling behavior of blood pressure and pulse arrival time during sleep in healthy controls and patients with obstructive sleep apnea.

PloS one·2026
Same journal

Double DQN-based secrecy energy efficiency and fairness performance in IRS-assisted NOMA systems with friendly jamming.

PloS one·2026
Same journal

10 recommendations for strengthening citizen science for improved societal and ecological outcomes: A co-produced analysis of challenges and opportunities in the 21st century.

PloS one·2026
Same journal

Paying in public: Peer effects, impression management, and willingness to pay on digital payment platforms.

PloS one·2026
See all related articles

Related Experiment Video

Updated: Feb 18, 2026

Computer-Generated Animal Model Stimuli
26:43

Computer-Generated Animal Model Stimuli

Published on: July 29, 2007

11.4K

Automatic structural scene digitalization.

Rui Tang1,2, Yuhan Wang1, Darren Cosker2

  • 1Kujiale.com, Hangzhou, Zhejiang, China.

Plos One
|November 18, 2017
PubMed
Summary
This summary is machine-generated.

This study introduces an automatic system for analyzing Computer-aided Design (CAD) floor plans. The system accurately identifies structural components like walls, doors, and windows in real-time.

More Related Videos

3D Scanning Technology Bridging Microcircuits and Macroscale Brain Images in 3D Novel Embedding Overlapping Protocol
10:14

3D Scanning Technology Bridging Microcircuits and Macroscale Brain Images in 3D Novel Embedding Overlapping Protocol

Published on: May 12, 2019

7.7K
Author Spotlight: Innovative Device Development for Advancing Dendroecology and Wood Anatomy Research
07:05

Author Spotlight: Innovative Device Development for Advancing Dendroecology and Wood Anatomy Research

Published on: September 27, 2024

3.0K

Related Experiment Videos

Last Updated: Feb 18, 2026

Computer-Generated Animal Model Stimuli
26:43

Computer-Generated Animal Model Stimuli

Published on: July 29, 2007

11.4K
3D Scanning Technology Bridging Microcircuits and Macroscale Brain Images in 3D Novel Embedding Overlapping Protocol
10:14

3D Scanning Technology Bridging Microcircuits and Macroscale Brain Images in 3D Novel Embedding Overlapping Protocol

Published on: May 12, 2019

7.7K
Author Spotlight: Innovative Device Development for Advancing Dendroecology and Wood Anatomy Research
07:05

Author Spotlight: Innovative Device Development for Advancing Dendroecology and Wood Anatomy Research

Published on: September 27, 2024

3.0K

Area of Science:

  • Computer Science
  • Engineering
  • Architecture

Background:

  • Floor plan drawings are essential in architectural and engineering design.
  • Manual analysis of Computer-aided Design (CAD) floor plans is time-consuming and prone to errors.
  • Automated systems are needed for efficient and accurate floor plan interpretation.

Purpose of the Study:

  • To develop an automatic system for the analysis and labeling of structural scenes in CAD floor plans.
  • To accurately detect and recognize key components such as walls, doors, and windows.
  • To provide a real-time, high-accuracy solution for floor plan data extraction.

Main Methods:

  • A fusion strategy combining rule-based filtering and image-processing techniques.
  • Rule-based filter parsing to extract initial information from CAD floor plans.
  • Image-processing based recovery to correct and refine extracted data.

Main Results:

  • The system successfully detects and recognizes various components of CAD floor plans.
  • The proposed method is fully automatic and operates in real-time.
  • High accuracy was achieved, validated by evaluation on a public website with significant daily usage.

Conclusions:

  • The developed automatic system offers an efficient and accurate solution for CAD floor plan analysis.
  • The fusion strategy effectively handles the detection and recognition of structural elements.
  • The system's real-time performance and high accuracy demonstrate its practical utility.