Mohan, R., and
Nevatia, R.,
Using Perceptual Organization to Extract 3-D Structures,
PAMI(11), No. 11, November 1989, pp. 1121-1139.
IEEE DOI
BibRef
8911
USC Computer Vision
BibRef
Earlier:
Perceptual Grouping for the Detection
and Description of Structures in Aerial Images,
DARPA88(512-526).
BibRef
And:
Perceptual Grouping with Applications to 3D Shape Extraction,
CVWS87(158-163).
Perceptual Grouping.
See also Perceptual Organization for Segmentation and Description. Extract buildings based on grouping lines and corners into larger
structures and apply stereo analysis to the
grouped elements to get 3D structures.
BibRef
Nevatia, R.,
Price, K.E.,
Automatic and Interactive Modeling of Buildings in Urban Environments
from Aerial Images,
ICIP02(III: 525-528).
IEEE DOI
0210
BibRef
Nevatia, R.,
Matching in 2-D and 3-D,
ISPRS96(B3-III, 567-574).
BibRef
9600
USC Computer Vision
BibRef
Nevatia, R.[Ram],
Price, K.E.[Keith E.],
Knowledge-Based Automatic Feature Extraction,
DARPA97(771-778).
BibRef
9700
USC Computer Vision
PDF File.
BibRef
Nevatia, R.,
Lin, C.,
Huertas, A.,
A System for Building Detection from Aerial Images,
Ascona97(77-86).
BibRef
9700
USC Computer VisionSingle images, using walls, shadows, etc.
PDF File.
BibRef
Nevatia, R.,
Huertas, A.,
Knowledge-Based Building Detection and Description: 1997-1998,
DARPA98(469-478).
BibRef
9800
USC Computer Vision
PDF File.
BibRef
Lin, C.A.[Chung-An],
Nevatia, R.[Ramakant],
Building Detection and Description from a Single Intensity Image,
CVIU(72), No. 2, November 1998, pp. 101-121.
BibRef
9811
USC Computer Vision
DOI Link
PDF File.
BibRef
Earlier:
Building Detection and Description from a Monocular Image,
Radius97(153-170).
BibRef
And:
Buildings Detection and Description from Monocular Aerial Images,
ARPA96(461-468).
Shadow Analysis.
PDF File.
BibRef
Lin, C.,
Nevatia, R.,
3D Descriptions of Buildings from an Oblique View Aerial Image,
SCV95(377-382).
IEEE DOI
BibRef
9500
USC Computer Vision
Perceptual Grouping. University of Southern California.
PDF File.
BibRef
Lin, C.,
Huertas, A.,
Nevatia, R.,
Detection of Buildings from Monocular Images,
Ascona95(125-134).
BibRef
9500
USC Computer Vision
PDF File.
BibRef
Lin, C.,
Huertas, A.,
Nevatia, R.,
Detection of Buildings Using Perceptual Groupings and Shadows,
CVPR94(62-69).
IEEE DOI
BibRef
9400
USC Computer Vision
Perceptual Grouping.
PDF File.
BibRef
Huertas, A.,
Lin, C., and
Nevatia, R.,
Detection of Buildings from Monocular Views of Aerial Scenes
Using Perceptual Grouping and Shadows,
DARPA93(253-260).
BibRef
9300
USC Computer Vision
Perceptual Grouping.
Shadow Analysis. With a few cues, rectangular buildings are easily extracted.
PDF File.
BibRef
Huertas, A., and
Nevatia, R.,
Detecting Buildings in Aerial Images,
CVGIP(41), No. 2, February 1988, pp. 131-152.
Elsevier DOI
PDF File.
BibRef
8802
USC Computer Vision
BibRef
Earlier:
An Edge Based System for Detecting Buildings in Aerial Images,
USC_ISGTR-101, March 1982, pp. 41-64.
BibRef
And:
Classification of Edges for Object Detection in Aerial Images,
USC_ISGTR-102, October 1982, pp. 22-38.
Application, Cartography.
Shadow Analysis.
Shape from Shadows. The building detection program, using corners and shadows
with 3-D interpretations of the shapes.
BibRef
Noronha, S.[Sanjay],
Nevatia, R.[Ram],
Detection and Modeling of Buildings from Multiple Aerial Images,
PAMI(23), No. 5, May 2001, pp. 501-518.
IEEE DOI
BibRef
0105
USC Computer Vision
PDF File.
0105
BibRef
Earlier:
Detection and Description of Buildings from Multiple Aerial Images,
CVPR97(588-594).
IEEE DOI
PDF File.
9704
BibRef
And:
DARPA97(989-998).
BibRef
And:
(Different version)
Radius97(171-184).
BibRef
And:
ARPA96(469-478).
Stereo. Grouping into rectangles based on disparity in addition to appearance.
BibRef
Noronha, S.[Sanjay],
Nevatia, R.[Ram],
Recent Advances in Detection and Description of
Buildings from Multiple Images,
ACCV98(II: 259-266).
BibRef
9800
USC Computer Vision
PDF File.
BibRef
Nevatia, R.[Ram],
Huertas, A.,
Kim, Z.,
The MURI Project for Rapid Feature Extraction in Urban Areas,
ISPRSGIS99(3-14).
BibRef
9900
USC Computer VisionMostly the learning approach applied to buildings.
PDF File.
BibRef
Huertas, A.,
Kim, Z.,
Nevatia, R.,
Use of Cues from Range Data for Automatic Building Modeling,
DARPA98(577-582).
BibRef
9800
USC Computer Vision
PDF File.
BibRef
Lee, S.C.[Sung Chun],
Jung, S.K.[Soon Ki],
Nevatia, R.[Ram],
Automatic Integration of Facade Textures into 3D Building Models
with a Projective Geometry Based Line Clustering,
EuroGraphics(21), No. 3, 2002, pp. 511-519.
BibRef
0200
USC Computer Vision
PDF File.
BibRef
Lee, S.C.[Sung Chun],
Jung, S.K.[Soon Ki],
Nevatia, R.,
Integrating ground and aerial views for urban site modeling,
ICPR02(IV: 107-112).
IEEE DOI
0211
BibRef
Lee, S.C.[Sung Chun],
Nevatia, R.,
Extraction and integration of window in a 3D building model from ground
view images,
CVPR04(II: 113-120).
IEEE DOI
0408
BibRef
Lee, S.C.[Sung Chun],
Nevatia, R.,
Interactive 3D building modeling using a hierarchical representation,
HLK03(58-65).
IEEE Abstract.
0402
BibRef
Lee, S.C.[Sung Chun],
Huertas, A.[Andres],
Nevatia, R.[Ram],
Modeling 3-D Complex Buildings With User Assistance,
WACV00(170-177).
IEEE DOI
BibRef
0001
USC Computer Vision
0010
Underlying automatic system provides cues and most of the three
dimensional computations. User selects corners and modifies the
existing buildings.
PDF File.
BibRef
Li, J.[Jian],
Nevatia, R.[Ramakant],
Noronha, S.[Sanjay],
User Assisted Modeling of Buildings from Aerial Images,
CVPR99(II: 274-279).
IEEE DOI
BibRef
9900
USC Computer Vision
PDF File.
BibRef
And:
User Assisted Modeling of Buildings,
DARPA98(571-576).
PDF File.
BibRef
Heuel, S.,
Nevatia, R.,
Including Interaction in an Automated Modelling System,
SCV95(383-388).
IEEE DOI
BibRef
9500
USC Computer Vision
PDF File.
BibRef
And:
ARPA96(429-434).
University of Southern California.
Interactive system to select location for a building, then it uses
the image to generate the right size.
BibRef
Chung, C.K.R.,
Nevatia, R.,
Recovering Building Structures from Stereo,
WACV92(64-73).
IEEE DOI
BibRef
9200
USC Computer VisionFor the actual stereo work:
See also Use of Monocular Groupings and Occlusion Analysis in a Hierarchical Stereo System.
BibRef
Medioni, G.G.,
Obtaining 3-D from Shadows in Aerial Images,
CVPR83(73-76).
BibRef
8300
USC Computer Vision
Shape from Shadows.
BibRef
Huertas, A.,
Using Shadows in the Interpretation of Aerial Images,
USC_ISGTR-104, October 1983.
BibRef
8310
USC Computer Vision
BibRef
And:
Add A2:
Nevatia, R.,
Detection of Buildings in Aerial Images Using Shape and Shadows,
IJCAI83(1099-1103).
BibRef
Kim, Z.[ZuWhan],
Nevatia, R.[Ramakant],
Automatic description of complex buildings from multiple images,
CVIU(96), No. 1, October 2004, pp. 60-95.
Elsevier DOI
0409
BibRef
Kim, Z.[ZuWhan],
Huertas, A.[Andres],
Nevatia, R.[Ramakant],
A Model-Based Approach for Multi-View Complex Building Description,
Ascona01(181-193).
BibRef
0100
USC Computer VisionReasoning in 3D space for generating complex building descriptions.
0201
BibRef
Kim, Z.[ZuWhan],
Huertas, A.[Andres],
Nevatia, R.[Ramakant],
Automatic Description of Buildings with Complex Rooftops
from Multiple Images,
CVPR01(II:272-279).
IEEE DOI
BibRef
0100
USC Computer Vision
0110
Use DEM, reasoning in 3D, matching, grouping, to get description
of relatively complex roof structure.
BibRef
Kim, Z.[ZuWhan],
Huertas, A.[Andres],
Nevatia, R.[Ramakant],
Automatic Description of Complex Buildings with Multiple Images,
WACV00(155-162).
IEEE DOI
BibRef
0001
USC Computer Vision
0010
Use a variety of cues to get polygonal buildings.
Matching lines in 3-D. Searching in 3-D. Use DEM for cues.
PDF File.
BibRef
Huertas, A.[Andres],
Kim, Z.[ZuWhan],
Nevatia, R.[Ramakant],
Multisensor Integration for Building Modeling,
CVPR00(II: 203-210).
IEEE DOI
BibRef
0001
USC Computer Vision
PDF File.
0005
BibRef
Chapter on Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR continues in
CMU Building Systems .