22.4.6 USC Building Systems

Chapter Contents (Back)
Aerial Image Analysis. Remote Sensing. Building Recognition. Recognize Buildings.

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.[Chungan], 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).
WWW Link. 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).
WWW Link. 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).
WWW Link. 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 Remote Sensing, Cartography, Aerial Images, Buildings, Roads, Terrain, ATR continues in
CMU Building Systems .


Last update:Dec 7, 2017 at 17:23:10