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An environment map is a collection of images, seamlessly ``stitched''
together, into some unified representation of the quantity of light
that has arrived from each angle in space, over the range of angles
for which there exist measurement data.
Examples of environment maps appear in Fig 8.
Figure 8:
Environment maps captured from a first-person perspective,
through the process of
looking around, are called ``lookpaintings''.
Lookpaintings are characterized by irregularly-shaped
boundaries which
capture the gaze pattern of the wearer.
(a) Lookpainting made from 4 input images. Individual
image boundaries
are clearly visible. Note the unified perspective and the lack
of distortion (e.g. lines on the ceiling tiles are almost
perfectly straight, despite the extreme perspective).
(b) Lookpainting made from 226 input images.
This composite image illustrates the nature of first-person
perspective. Note that both the author's
hands are visible in the picture.
Because the apparatus is wearable, it captures a new point
of view, while at the same time, capturing what is important in
a scene. (Here, for example, the lookpainting has included the
video surveillance camera on the ceiling because the author has
looked there.)
![\begin{figure*}\centerline{ \vbox{
\hbox{
\makebox[3.6in][l]{\psfig{figure=/ma...
...in}}
} \hbox{\makebox[3.6in]{~(a)} \makebox[2.4in]{~(b)} }
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In constructing these environment maps,
the computer performs basic calculations
which it is good at, while the human operator makes higher level
decisions about artistic content, what is of greatest interest
or importance, etc..
As described earlier,
the human becomes at one with the machine (in this case the camera)
through a long-term adaptation process, so that,
as one experiences one's life through the apparatus (living in
a computer-mediated world), the subject matter of interest
is automatically captured by the human operator.
Note that in this simple case, there is no
Artificial Intelligence, but instead, there is a synergy
between human and machine, where the ``intelligence''
arises through having the human operator in the feedback loop
of the overall image acquisition process.
Personal imaging, which is facilitated through WearComp,
image processing, machine vision, and computer-mediated reality,
enables the user to effortlessly capture high-quality images
of a new genre
characterized by not only enhanced tonal range
and spatial resolution,
but also by the ability to include and exclude areas of interest
(Fig 9).
Figure 9:
This image depicts a group of people to whom the
author is lecturing.
Here the author is able to quickly sweep out the important details
of this scene (namely all of the participants),
while leaving out areas of the room where nobody is seated.
Note how the image is close-cropped, leaving out
the two empty chairs in the center, while at the same time,
extending out to include the feet of those sitting to the
left and right of the empty chairs. This natural selection
of subject matter happens often without conscious thought
or effort, through the process of simply ``looking around''
at everyday scenes or objects,
and is characteristic of the symbiotic relationship
between human and machine that arises when the two become
inextricably intertwined through a constancy of user-interface
extending over a time period of many years.
 |
Next: Mathematical framework for lookpainting:
Up: Lookpainting: Towards developing a
Previous: Introduction: What is lookpainting
Steve Mann
1999-04-11