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Related Concept Videos

Mechanism of Ciliary Motion01:05

Mechanism of Ciliary Motion

The ciliary structures were first seen in 1647 by Antonie Leeuwenhoek while observing the protozoans. In lower organisms, these appendages are responsible for cell movement, while in higher organisms, these appendages help in the movement of the extracellular fluids within the body cavities.
The cilia are made up of microtubules in a 9+2 arrangement, with nine microtubule doublet ring bundles, surrounding a pair of central singlet microtubule bundles. The doublet microtubule bundles are...
Mechanism of Ciliary Motion01:05

Mechanism of Ciliary Motion

The ciliary structures were first seen in 1647 by Antonie Leeuwenhoek while observing the protozoans. In lower organisms, these appendages are responsible for cell movement, while in higher organisms, these appendages help in the movement of the extracellular fluids within the body cavities.
The cilia are made up of microtubules in a 9+2 arrangement, with nine microtubule doublet ring bundles, surrounding a pair of central singlet microtubule bundles. The doublet microtubule bundles are...
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...
Relative Motion Analysis using Rotating Axes01:25

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 Vision01:15

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.
Relative Motion Analysis using Rotating Axes-Problem Solving01:29

Relative Motion Analysis using Rotating Axes-Problem Solving

Consider a crane whose telescopic boom rotates with an angular velocity of 0.04 rad/s and angular acceleration of 0.02 rad/s2. Along with the rotation, the boom also extends linearly with a uniform speed of 5 m/s. The extension of the boom is measured at point D, which is measured with respect to the fixed point C on the other end of the boom. For the given instant, the distance between points C and D is 60 meters.
Here, in order to determine the magnitude of velocity and acceleration for point...

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Related Experiment Video

Updated: Jun 17, 2026

MPI CyberMotion Simulator: Implementation of a Novel Motion Simulator to Investigate Multisensory Path Integration in Three Dimensions
09:46

MPI CyberMotion Simulator: Implementation of a Novel Motion Simulator to Investigate Multisensory Path Integration in Three Dimensions

Published on: May 10, 2012

A new theory of structure-from-motion perception.

Julian M Fernandez1, Bart Farell

  • 1Institute for Sensory Research, Syracuse University, Syracuse, NY 13224, USA. julian_fernandez@isr.syr.edu

Journal of Vision
|January 8, 2010
PubMed
Summary

This study introduces a new model for structure from motion (SFM) perception, enabling 3-D shape recovery from object rotation around any axis, not just frontoparallel ones.

Area of Science:

  • Computational Neuroscience
  • Computer Vision
  • Human Perception

Background:

  • Humans perceive 3-D object structure from 2-D motion fields (structure from motion, SFM).
  • Existing SFM models are limited to objects rotating around frontoparallel axes.
  • Real-world object rotations often involve arbitrary axes, necessitating a more general model.

Purpose of the Study:

  • To develop the first computational model for SFM perception with general, non-frontoparallel rotation axes.
  • To explain how humans recover 3-D structure from objects rotating around arbitrary axes.
  • To provide a framework for understanding human visual perception of 3-D object dynamics.

Main Methods:

  • A two-stage computational process for SFM was developed.
  • Stage 1: Compute structure perpendicular to the rotation axis.

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Methods to Explore the Influence of Top-down Visual Processes on Motor Behavior
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Methods to Explore the Influence of Top-down Visual Processes on Motor Behavior

Published on: April 16, 2014

Related Experiment Videos

Last Updated: Jun 17, 2026

MPI CyberMotion Simulator: Implementation of a Novel Motion Simulator to Investigate Multisensory Path Integration in Three Dimensions
09:46

MPI CyberMotion Simulator: Implementation of a Novel Motion Simulator to Investigate Multisensory Path Integration in Three Dimensions

Published on: May 10, 2012

Methods to Explore the Influence of Top-down Visual Processes on Motor Behavior
09:49

Methods to Explore the Influence of Top-down Visual Processes on Motor Behavior

Published on: April 16, 2014

  • Stage 2: Correct for the slant of the rotation axis using template matching for global parameters like angular speed.

    • Main Results:

    • The model successfully computes 3-D structure for objects rotating around arbitrary axes.
    • Perceived shape of cylinders was found to be invariant to viewpoint changes.
    • Model predictions align well with psychophysical data for both frontoparallel and non-frontoparallel rotations.

    Conclusions:

    • The proposed two-stage model advances SFM perception beyond frontoparallel constraints.
    • This model offers a quantitative explanation for human ability to perceive 3-D structure from general object rotations.
    • The findings have implications for understanding visual processing and developing more robust computer vision systems.