1. Modeling Motion Blur in Computer – Generated Images
Michael Potmesil and Indranil Chakravarty
Presented by:
Dmitriy Bespalov

2. Why Motion Blur Is Used in CG?
Animated sequences:
To remove temporal aliasing effects
Static images:
To portray the illusion of speed or movement

3. Principal Reasons for Motion Blur
Motion of Objects:
Camera is moving, scene is static
Camera is static, objects are moving
Camera and objects are moving
Movements of Shutter:
Opening and closing time of shutter
Direction of shutter’s movement
Changes in shape of aperture

4. Synthesizing Motion Blur
Image Restoration – removal of camera degradation to recover the original image
Synthesis of Motion Blur – inverse of image restoration: generate appropriate degradation function

5. Overview of Approach The approach consists of two stages:
Hidden-Surface program
Generates intensity points
Identifies points in motion
Produce path of projected motion
Motion-Blur processor
Blurs moving points
Merges moving and stationary points
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6. Image-Formation System Model

7. Hidden-Surface Program
Generates raster image and computes intensity samples:
Image frame, intensity samples and motion paths are passed to motion-blur processor

8. Motion-Blur Processor
Optical transfer function h:
If:
Otherwise:

9. Experimental Results

10. Experimental Results (cont’d)

11. Thank You!
Questions?