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

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 genetic control of growth rate: a systems biology study in yeast.

BMC systems biology·2012

Same author

Presence of somatic mutations in most early-stage pancreatic intraepithelial neoplasia.

Gastroenterology·2012

Same author

Terpenoids from root bark of Celastrus orbiculatus.

Phytochemistry·2011

Same author

Zero-order noise suppression with various space-shifting manipulations of reconstructed images in digital holography.

Applied optics·2011

Same author

Design, synthesis and insecticidal activities of novel pyrazole amides containing hydrazone substructures.

Pest management science·2011

Same author

Imbricate scales as a design construct for microsystem technologies.

Small (Weinheim an der Bergstrasse, Germany)·2011

Search research articles

Related Experiment Video

Updated: Jul 12, 2025

Author Spotlight: Insights into the Analysis of Human Interaction with 3D Virtual Objects

Author Spotlight: Insights into the Analysis of Human Interaction with 3D Virtual Objects

Published on: October 18, 2024

Panoramic Ray Tracing for Interactive Mixed Reality Rendering Based on 360° RGBD Video.

Jian Wu, Lili Wang

IEEE Computer Graphics and Applications

|October 25, 2023

Summary

This study introduces a new ray tracing method for realistic real-time rendering of virtual objects in 360° videos. The technique enhances visual realism and believability for dynamic virtual content.

More Related Videos

Novel 3D/VR Interactive Environment for MD Simulations, Visualization and Analysis

Novel 3D/VR Interactive Environment for MD Simulations, Visualization and Analysis

Published on: December 18, 2014

High-resolution, High-speed, Three-dimensional Video Imaging with Digital Fringe Projection Techniques

High-resolution, High-speed, Three-dimensional Video Imaging with Digital Fringe Projection Techniques

Published on: December 3, 2013

Related Experiment Videos

Last Updated: Jul 12, 2025

Author Spotlight: Insights into the Analysis of Human Interaction with 3D Virtual Objects

Author Spotlight: Insights into the Analysis of Human Interaction with 3D Virtual Objects

Published on: October 18, 2024

Novel 3D/VR Interactive Environment for MD Simulations, Visualization and Analysis

Novel 3D/VR Interactive Environment for MD Simulations, Visualization and Analysis

Published on: December 18, 2014

High-resolution, High-speed, Three-dimensional Video Imaging with Digital Fringe Projection Techniques

High-resolution, High-speed, Three-dimensional Video Imaging with Digital Fringe Projection Techniques

Published on: December 3, 2013

Area of Science:

Computer Graphics
Real-time Rendering
Virtual Reality

Background:

Integrating virtual objects into 360° videos requires realistic lighting and shadows.
Existing methods struggle with real-time performance and visual fidelity.

Purpose of the Study:

To develop an interactive panoramic ray tracing method for real-time rendering.
To achieve visually realistic integration of virtual objects in 360° RGBD videos.

Main Methods:

Scene geometry approximation.
Sparse sampling ray generation for accelerated ray tracing.
Irradiance estimation channel for Monte Carlo image generation.
Post-processing via interpolation, temporal filtering, and differential rendering.

Main Results:

Visually realistic frames generated in real-time.
Successful integration of dynamic virtual objects in 360° RGBD videos.
Comparison with ground truth and image-based illumination methods validated the approach.

Conclusions:

The proposed method enables natural and believable rendering of virtual objects in dynamic 360° environments.
Achieves real-time performance for interactive applications.
Advances the state-of-the-art in real-time virtual object insertion for immersive media.