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Related Experiment Video

Updated: Mar 10, 2026

Photorealistic Learned Landscapes for Augmented Reality

Photorealistic Learned Landscapes for Augmented Reality

Published on: June 27, 2025

LivePhantom: Retrieving Virtual World Light Data to Real Environments.

Hoshang Kolivand¹, Mark Billinghurst², Mohd Shahrizal Sunar¹

¹MaGIC-X (Media and Games Innovation Centre of Excellence) UTM-IRDA Digital Media Centre Universiti Teknologi Malaysia, 81310 Skudai, Johor, Malaysia.

|December 9, 2016

Summary

This summary is machine-generated.

This study introduces a novel method for realistic Augmented Reality (AR) by using real-time depth detection to cast virtual shadows on both real and virtual objects. The technique enhances 3D scene perception in complex indoor environments.

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Area of Science:

Computer Vision
Augmented Reality
3D Reconstruction

Background:

Realistic Augmented Reality (AR) requires accurate 3D scene representation.
Shadows are crucial for enhancing the 3D impression and realism in AR environments.
Existing methods for virtual shadow casting in AR have limitations.

Purpose of the Study:

To propose a new method for creating complex AR indoor scenes with realistic virtual shadows.
To enable real-time depth detection for integrating virtual shadows with real and virtual objects.
To enhance the 3D impression and immersion in AR applications.

Main Methods:

Utilized a Kinect camera for real-time depth map generation of the physical scene.
Reconstructed a 3D scene to enable camera tracking.
Represented real objects as virtual phantoms for shadow casting.
Combined webcam and Kinect for simultaneous environment capture and reconstruction.

Main Results:

Successfully demonstrated real-time virtual shadow casting on both real and virtual objects in AR.
Achieved robust camera tracking within the reconstructed 3D scene.
Qualitative and quantitative assessments confirmed the effectiveness of the proposed technique.
The method showed robustness for realistic indoor rendering in AR systems.

Conclusions:

The proposed method significantly improves the realism of indoor AR scenes through accurate virtual shadow casting.
Real-time depth detection and 3D reconstruction are key to seamless integration of virtual elements.
This technique offers a robust solution for advanced AR applications requiring high-fidelity rendering.