stanbul 2004
objects. The
lution from
s not entail
matic scale:
3.32 pixels
s significant
pling rate at
frames per
he third part
nges — both
1ce between
's CCD and
m series of
s 4 and 5
f fixations,
; detected at
detected at
28
/250fps vs.
duration of
ordinates of
ACKING
RY
, compiled
meaningful
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XXXV, Part B3. Istanbul 2004
information that could be successfully used in modern
augmented photogrammetry.
Fixations, identified in eye-tracking protocols, could be
interpreted as coordinates of the featured points of an object
being observed in the image. Such à) way of utilizing eye-
tracking data leads to the establishment of “evegrammetry” - a
new branch of photogrammetry, which synthesize human visual
abilities and fundamentals of classic stereometry for fast and
highly reliable real-time 3D measurements.
Registration ways “of where and how” allow us to look and
explore not only how humans perceive the environment
through the visual inputs, but helps us understand how our
mind can process the stimulus of interest in visual cognition,
which is particularly true to interpretation of geospatial
images. Such interpretation requires substantial knowledge
about the scene under consideration. Knowledge about the type
of scene - airport, suburban housing development, urban
surroundings - helps to understand low-level and intermediate
level image analysis and how it will impel high-level
interpretation by limiting the search for plausible consistent
scene models. Eye-tracking could be successfully used for
developing a visual knowledge acquisition tool for acquiring
knowledge from image interpreters. Such a tool, allowing a
human classifier to identify features of interest by pointing an
image with a gaze, could monitor the expert's eye movements
and record all steps of the natural process of classification of
geospatial images by image interpreter. This could bring the
revolutionary progress in automated image interpretation and
knowledge elicitation for Geographic Expert Systems.
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