Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Uniform Depth Channel Flow

Uniform Depth Channel Flow

Uniform depth channel flow keeps fluid depth consistent along channels such as irrigation canals. In natural channels, such as rivers, approximate uniform flow is often assumed. This condition occurs when the channel’s bottom slope matches the energy slope, balancing potential energy lost from gravity with head loss due to shear stress. This balance prevents depth changes along the channel length, resulting in a steady, uniform flow.Uniform flow in open channels with a constant cross-section...

Uniform Depth Channel Flow: Problem Solving

Uniform Depth Channel Flow: Problem Solving

To calculate the flow rate for a trapezoidal channel, first, identify the bottom width, side slope, and flow depth of the channel. The cross-sectional area (A) corresponding to the depth of flow (y), channel bottom width (B), and side slope (θ) is determined by:Next, calculate the wetted perimeter, which includes the bottom width and the sloped side lengths in contact with the water. Using the values of the cross-sectional area and the wetted perimeter, determine the hydraulic radius by...

Relative Motion Analysis using Rotating Axes

Relative Motion Analysis using Rotating Axes

Consider a component AB undergoing a linear motion. Along with a linear motion, point B also rotates around point A. To comprehend this complex movement, position vectors for both points A and B are established using a stationary reference frame.
However, to express the relative position of point B relative to point A, an additional frame of reference, denoted as x'y', is necessary. This additional frame not only translates but also rotates relative to the fixed frame, making it instrumental in...

Depth Perception and Spatial Vision

Depth Perception and Spatial Vision

Depth perception is the ability to perceive objects three-dimensionally. It relies on two types of cues: binocular and monocular. Binocular cues depend on the combination of images from both eyes and how the eyes work together. Since the eyes are in slightly different positions, each eye captures a slightly different image. This disparity between images, known as binocular disparity, helps the brain interpret depth. When the brain compares these images, it determines the distance to an object.

You might also read

Related Articles

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

Sort by

Same author

The implosion of cylindrical shell structures in a high-pressure water environment.

Proceedings. Mathematical, physical, and engineering sciences·2013

Same author

PRIMARY PERITONITIS: PNEUMOCOCCIC AND STREPTOCOCCIC: A STUDY OF SIXTY-SEVEN CASES.

Canadian Medical Association journal·2010

Same author

Umckaloabo.

Canadian Medical Association journal·2010

Same author

A CASE OF OVARIAN FIBROMA.

Canadian Medical Association journal·2010

Same author

Vitalex.

Canadian Medical Association journal·2010

Same author

Spontaneous Cerebral Haemorrhage in a Young Woman.

Canadian Medical Association journal·2010

Search research articles

Related Experiment Video

Updated: May 29, 2026

Assessing Binocular Central Visual Field and Binocular Eye Movements in a Dichoptic Viewing Condition

Assessing Binocular Central Visual Field and Binocular Eye Movements in a Dichoptic Viewing Condition

Published on: July 21, 2020

Binocular image flows: steps toward stereo-motion fusion.

A M Waxman¹, J H Duncan

¹Department of Electrical, Computer, and Systems Engineering, Boston University, Boston, MA 02215.

IEEE Transactions on Pattern Analysis and Machine Intelligence

|August 27, 2011

Summary

This study introduces a unified visual processing module that integrates stereo and motion analysis, overcoming individual limitations. This approach reveals a key correlation between image flow and stereo disparity, aiding 3D scene understanding.

More Related Videos

Determining 3D Flow Fields via Multi-camera Light Field Imaging

Determining 3D Flow Fields via Multi-camera Light Field Imaging

Published on: March 6, 2013

Related Experiment Videos

Last Updated: May 29, 2026

Assessing Binocular Central Visual Field and Binocular Eye Movements in a Dichoptic Viewing Condition

Assessing Binocular Central Visual Field and Binocular Eye Movements in a Dichoptic Viewing Condition

Published on: July 21, 2020

Determining 3D Flow Fields via Multi-camera Light Field Imaging

Determining 3D Flow Fields via Multi-camera Light Field Imaging

Published on: March 6, 2013

Area of Science:

Computer Vision
Computational Neuroscience

Background:

Stereo and motion visual analyses are typically separate processes.
Each analysis method has inherent challenges: stereo faces correspondence problems, while motion yields scale-ambiguous 3D interpretations.

Purpose of the Study:

To introduce a novel module that unifies stereo and motion analysis.
To demonstrate how integrating these analyses overcomes individual limitations.

Main Methods:

Developed a new computational module integrating stereo and motion visual data.
Investigated the correlation between binocular difference flow (relative image flow) and stereo disparity.

Main Results:

The unified module effectively addresses the shortcomings of separate stereo and motion analyses.
A significant correlation was found between relative image flow and stereo disparity.
The ratio of the rate of change of disparity to disparity (¿/¿) is highlighted for its role in stereo correspondence.

Conclusions:

Unifying stereo and motion analysis offers a more robust approach to visual data interpretation.
The identified correlation and the importance of disparity ratios suggest a mechanism for improved stereo correspondence, potentially mirroring human visual perception.