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Related Experiment Video

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Trace Fear Conditioning in Mice

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Time Interval Ray Tracing for Motion Blur.

Konstantin Shkurko, Cem Yuksel, Daniel Kopta

IEEE Transactions on Visualization and Computer Graphics

|July 11, 2018

Summary

This summary is machine-generated.

This study presents a novel ray tracing method for realistic motion blur. It analytically approximates blur per ray, avoiding sampling for efficient, noise-free results in computer graphics.

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Area of Science:

Computer Graphics
Computational Geometry
Image Processing

Background:

Realistic motion blur is crucial for visual fidelity in computer graphics.
Existing methods often rely on computationally expensive sampling techniques.

Purpose of the Study:

To develop an efficient and accurate method for computing motion blur in ray tracing.
To eliminate noise associated with sampling-based motion blur approximations.

Main Methods:

Associating time intervals with rays for direct intersection evaluation with animated object faces.
Representing swept volumes using triangulations for intersection with stationary triangles.
Utilizing standard ray tracing acceleration structures without time-dimension modifications.

Main Results:

Analytical approximation of motion blurred visibility per ray.
Noise-free motion blur for primary and secondary rays.
Framework for emulating camera shutter mechanisms and motion amplification.

Conclusions:

The proposed method offers an efficient and high-quality solution for motion blur in ray tracing.
Enables improved visual realism and artistic control in rendering animated scenes.