Quam, L.H., and
Strat, T.M.,
SRI Image Understanding Research in Cartographic Feature Extraction,
ISPRS91(111-122), Munich, Germany, September 1991.
BibRef
9109
And:
SRI-TN-505, 1991.
BibRef
Fischler, M.A.,
Barnard, S.T.,
Bolles, R.C.,
Lowry, M.,
Quam, L.H.,
Smith, G., and
Witkin, A.P.,
Modeling and Using Physical Constraints in Scene Analysis,
AAAI-82(30-35).
BibRef
8200
And:
DARPA82(286-298).
WWW Link.
Shape from Perspective.
Shape from Shadows.
BibRef
Quam, L.H., and
Hannah, M.J.,
Stanford Automatic Photogrammetry Research,
Stanford AIMemo 254, December 1974,
BibRef
7412
And:
Stan-CS-74-472.
Survey of their current research.
BibRef
Barrow, H.G.,
Bolles, R.C.,
Garvey, T.D.,
Kremers, J.H.,
Lantz, K.,
Tenenbaum, J.M., and
Wolf, H.C.,
Interactive Aids for Cartography and Photo-Interpretation:
Progress Report,
DARPAO77(111-127).
BibRef
7700
Barrow, H.G.,
Bolles, R.C.,
Garvey, T.D.,
Kremers, J.H.,
Tenenbaum, J.M., and
Wolf, H.C.,
Experments in Map-Guided Photo Interpretation,
IJCAI77(696).
BibRef
7700
Tenenbaum, J.M.,
Barrow, H.G.,
Bolles, R.C.,
Fischler, M.A., and
Wolf, H.C.,
Map-Guided Interpretation of Remotely-Sensed Imagery,
NCC80(391-408).
BibRef
8000
Earlier:
Map-Guided Interpretation of Remotely-Sensed Data,
PRIP79(610-617).
BibRef
Barrow, H.G.,
Interactive Aids for Cartography and Photo-Interpretation,
SRI AIMemoSemi-Annual, Semi-annual technical report,
12 May 1976 - 12 November 76 (DARPA).
Application, Cartography. This report includes several projects such as: cartographic or
interpretation aid with map guided interpretation, image
calibration. Several examples: boxcar counting (along a track
given by the map), road tracing with detection by a road operator
and guided tracing, and knowledge representation.
BibRef
7605
Tenenbaum, J.M.,
Barrow, H.G.,
Bolles, R.C., and
Wolf, H.C.,
Research in Interactive Scene Analysis,
SRI AIMemoFinal, December 1976. Final report to NASA.
Application, Cartography.
Matching, Chamfer. The reports includes several projects such as: verification vision
(precise location in image of objects whose approximate location are
known in advance) using symbolic and ionic feature matching. Compute
analytic camera model and work the map and chamfer matching; IGS
(interpretation guided segmentation).
BibRef
7612
Tenenbaum, J.M.,
Fischler, M.A., and
Wolf, H.C.,
A Scene-Analysis Approach to Remote Sensing,
SRI AIMemoFinal Report, NASA Project, June 1978.
Application, Cartography.
Matching, Chamfer. Includes chamfer matching of TN-153 for geometric correspondence.
Emphasizes continuous monitoring of predetermined sites and maps to
guide feature extraction. Precise symbolic model (map); calibrate
camera with known approximate values; map input by hand; sensor
correspondence with analytic camera model, 5-7 parameters; determine
precise shape of linear feature giving approximate shape (water
level example), image 20' pixel, guideline 50' accuracy; road
tracing - search from one to next min cost through line operator
values; railroad and ships - reduced computation (vs.
correlation), transform complex interpretation into given
detection, enhance results by associating with geographically
localized objects; and using map to locate boundaries to subpixel
accuracy.
BibRef
7806
Bolles, R.C.,
Quam, L.H.,
Fischler, M.A., and
Wolf, H.C.,
Automatic Determination of Image to Database Correspondence,
IJCAI79(73-78).
BibRef
7900
Earlier:
The SRI Road Expert: Image-to-Database Correspondence,
DARPAN78(163-174).
Application, Cartography.
Recognize Roads. Given the approximate location of the road, find the road by looking
in the restricted area of the image. The procedure requires a lot
of information about the scene to perform the match.
BibRef
Chapter on Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR continues in
CMU MAPS Image Database System .