Image-Based Rendering David Luebke University of Virginia

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Image-Based Rendering
David Luebke
University of Virginia
But first…

A funky cactus
Image-Based Rendering

You’ve been learning how to turn
geometric models into images
– Specifically, images of compelling 3D objects
and worlds

Image-based rendering: a relatively new
field of computer graphics devoted to
making images from images

Ex: Quicktime VR
Images with depth

Quicktime VR is really just a 2D
panoramic photograph
– Spin around, zoom in and out

But what if we could assign depth to
parts of the image?

Ex: Tour Into the Picture
Tour Into the Picture

Software for:
– Selecting parts of an image
– Assigning a vanishing point for depth of
background objects
– Assigning depth to foreground objects
– “Painting in” behind objects
Depth per pixel

What if we could assign an exact depth
to every pixel?

Ex: MIT Image-Based Editing system
Depth per pixel continued

What if we had a “camera” that
automatically acquired depth at every
pixel?

Ex: deltasphere
Ex: Monticello project

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