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

Topographic Surveying and Contours01:29

Topographic Surveying and Contours

Topographic surveying is critical for documenting the Earth's surface, focusing on capturing elevations, slopes, and natural and man-made features. It is essential in construction planning, water resource management, and land-use analysis. The primary outcome of such surveys is a topographic map, which uses contour lines to visually represent the shape and slope of the terrain, providing valuable insights into the landscape's characteristics.Contour lines are fundamental to understanding the...
Gestalt Principles of Perception01:21

Gestalt Principles of Perception

Gestalt principles provide a framework for understanding how humans perceive objects as unified wholes within their context. These principles are essential in explaining the cognitive processes that make sense of complex visual stimuli by organizing them into coherent groups. One fundamental principle is proximity, which posits that objects located close to each other are perceived as a collective group. For instance, when dots are positioned near one another, the visual system interprets them...
Vector Algebra: Graphical Method01:10

Vector Algebra: Graphical Method

Vectors can be multiplied by scalars, added to other vectors, or subtracted from other vectors. The vector sum of two (or more) vectors is called the resultant vector or, for short, the resultant.
We use the laws of geometry to construct resultant vectors, followed by trigonometry to find vector magnitudes and directions. For a geometric construction of the sum of two vectors in a plane, we follow the parallelogram rule. Suppose two vectors are at arbitrary positions. Translate either one of...
Plotting of Topographic Maps01:29

Plotting of Topographic Maps

Topographic maps represent the Earth's surface features using contour lines, which connect points of equal elevation to create a two-dimensional representation of three-dimensional terrain. Creating a topographic map requires a systematic approach.Begin by plotting a scaled grid and marking intersections corresponding to the survey's elevation data points. Assign elevation values at these intersections to build the base map. Next, determine contour levels using a consistent contour interval,...
Curvilinear Motion: Rectangular Components01:23

Curvilinear Motion: Rectangular Components

Curvilinear motion characterizes the movement of a particle or object along a curved path, notably evident when envisioning a car navigating a winding road. If the car starts at point A, its position vector is established within a fixed frame of reference, where the ratio of the position vector to its magnitude signifies the unit vector pointing in the position vector's direction.
As the car advances, its position evolves over time. Quantifying the car's velocity involves computing the time...
Volumes of Solids of Revolution01:29

Volumes of Solids of Revolution

Volumes of irregularly shaped objects can be systematically determined using the concept of solids of revolution. This approach begins with a region defined by a curve in a two-dimensional plane. When this region is rotated about a fixed line, known as the axis of revolution, it generates a three-dimensional object with rotational symmetry. Such objects frequently arise in mathematical modeling, physics, and engineering applications.When the region being rotated lies directly against the axis...

You might also read

Related Articles

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

Sort by
Same author

Effect of Empagliflozin on Device-Measured Thoracic Impedance in Patients With Type 2 Diabetes Treated With an Implantable Cardioverter Defibrillator.

Circulation·2026
Same author

A densely sampled fMRI dataset for investigating food valuation.

Scientific data·2026
Same author

Redox-controlled near-infrared-to-near-infrared optical switching in TPA dimers.

Physical chemistry chemical physics : PCCP·2026
Same author

Crystal structure of tris-[4-(3,4-di-meth-oxy-thio-phen-2-yl)phen-yl]amine.

Acta crystallographica. Section E, Crystallographic communications·2026
Same author

Catecholaminergic polymorphic ventricular tachycardia-linked ryanodine receptor variants exhibit domain-specific calcium leak and calmodulin affinity properties.

The Journal of physiology·2025
Same author

Concurrent Large-vessel Vasculitis and Small-vessel Vasculitis Accompanied by Basal Cell Carcinoma.

Internal medicine (Tokyo, Japan)·2025

Related Experiment Video

Updated: May 20, 2026

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

Visual shape representation with geometrically characterized contour partitions.

Yuma Matsuda1, Masatsugu Ogawa, Masafumi Yano

  • 1System Platforms Research Laboratories, NEC Corporation, 1753, Shimonumabe, Nakahara-Ku, Kawasaki, Kanagawa, 211-8666, Japan. y-matsuda@ew.jp.nec.com

Biological Cybernetics
|June 30, 2012
PubMed
Summary

This study introduces a novel method for shape recognition using contour curvature, mimicking the human ventral pathway. It enables flexible and invariant shape identification from partial contour information across multiple scales.

More Related Videos

Visualization Method for Proprioceptive Drift on a 2D Plane Using Support Vector Machine
07:05

Visualization Method for Proprioceptive Drift on a 2D Plane Using Support Vector Machine

Published on: October 27, 2016

Using High Resolution Computed Tomography to Visualize the Three Dimensional Structure and Function of Plant Vasculature
11:49

Using High Resolution Computed Tomography to Visualize the Three Dimensional Structure and Function of Plant Vasculature

Published on: April 5, 2013

Related Experiment Videos

Last Updated: May 20, 2026

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

Visualization Method for Proprioceptive Drift on a 2D Plane Using Support Vector Machine
07:05

Visualization Method for Proprioceptive Drift on a 2D Plane Using Support Vector Machine

Published on: October 27, 2016

Using High Resolution Computed Tomography to Visualize the Three Dimensional Structure and Function of Plant Vasculature
11:49

Using High Resolution Computed Tomography to Visualize the Three Dimensional Structure and Function of Plant Vasculature

Published on: April 5, 2013

Area of Science:

  • Computational Neuroscience
  • Computer Vision
  • Pattern Recognition

Background:

  • Human visual system recognizes shapes via the ventral pathway, often modeled by artificial neural networks.
  • Current artificial neural network models lack shape representations that satisfy key biological constraints for robust recognition.

Purpose of the Study:

  • To propose a biologically plausible shape representation method.
  • To address limitations in existing artificial neural network models for visual shape recognition.
  • To develop a system invariant to geometric transformations.

Main Methods:

  • Utilizing contour curvature information for shape matching.
  • Implementing a shape representation based on geometrically characterized contour partitions.
  • Describing contour partitions on multiple spatial scales.

Main Results:

  • A biologically plausible matching method for general shape recognition.
  • Shape representation that integrates global and local contour information.
  • Representation supports coarse-to-fine and scale-invariant shape discrimination.

Conclusions:

  • The proposed method offers a biologically plausible approach to visual shape recognition.
  • The developed representation satisfies critical constraints for flexible and invariant shape identification.
  • This work advances artificial systems' ability to mimic human visual shape processing.