System for automated site model acquisition

Robert T. Collins; Chris Jaynes; Frank Stolle; Xiaoguang Wang; Yong Qing Cheng; Allen R. Hanson; Edward M. Riseman

System for automated site model acquisition

Robert T. Collins, Chris Jaynes, Frank Stolle, Xiaoguang Wang, Yong Qing Cheng, Allen R. Hanson, Edward M. Riseman

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

A system has been developed to acquire, extend and refine 3D geometric site models from aerial imagery. The system hypothesizes potential building roofs in an image, automatically locates supporting geometric evidence in other images, and determines the precise shape and position of the new buildings via multi-image triangulation. Projectively warped image intensity maps are associated with the faces of each recovered building, allowing realistic rendering of the scene from new viewpoints.

Original language	English (US)
Title of host publication	Proceedings of SPIE - The International Society for Optical Engineering
Pages	244-254
Number of pages	11
State	Published - 1995
Event	Integrating Photogrammetric Techniques with Scene Analysis and Machine Vision II - Orlando, FL, USA Duration: Apr 19 1995 → Apr 21 1995

Publication series

Name	Proceedings of SPIE - The International Society for Optical Engineering
Volume	2486
ISSN (Print)	0277-786X

Other

Other	Integrating Photogrammetric Techniques with Scene Analysis and Machine Vision II
City	Orlando, FL, USA
Period	4/19/95 → 4/21/95

All Science Journal Classification (ASJC) codes

Electronic, Optical and Magnetic Materials
Condensed Matter Physics
Computer Science Applications
Applied Mathematics
Electrical and Electronic Engineering

Cite this

@inproceedings{e184784326f74b0e994f1369192ab6f0,

title = "System for automated site model acquisition",

abstract = "A system has been developed to acquire, extend and refine 3D geometric site models from aerial imagery. The system hypothesizes potential building roofs in an image, automatically locates supporting geometric evidence in other images, and determines the precise shape and position of the new buildings via multi-image triangulation. Projectively warped image intensity maps are associated with the faces of each recovered building, allowing realistic rendering of the scene from new viewpoints.",

author = "Collins, {Robert T.} and Chris Jaynes and Frank Stolle and Xiaoguang Wang and Cheng, {Yong Qing} and Hanson, {Allen R.} and Riseman, {Edward M.}",

year = "1995",

language = "English (US)",

isbn = "0819418390",

series = "Proceedings of SPIE - The International Society for Optical Engineering",

pages = "244--254",

booktitle = "Proceedings of SPIE - The International Society for Optical Engineering",

note = "Integrating Photogrammetric Techniques with Scene Analysis and Machine Vision II ; Conference date: 19-04-1995 Through 21-04-1995",

}

Collins, RT, Jaynes, C, Stolle, F, Wang, X, Cheng, YQ, Hanson, AR & Riseman, EM 1995, System for automated site model acquisition. in Proceedings of SPIE - The International Society for Optical Engineering. Proceedings of SPIE - The International Society for Optical Engineering, vol. 2486, pp. 244-254, Integrating Photogrammetric Techniques with Scene Analysis and Machine Vision II, Orlando, FL, USA, 4/19/95.

TY - GEN

T1 - System for automated site model acquisition

AU - Collins, Robert T.

AU - Jaynes, Chris

AU - Stolle, Frank

AU - Wang, Xiaoguang

AU - Cheng, Yong Qing

AU - Hanson, Allen R.

AU - Riseman, Edward M.

PY - 1995

Y1 - 1995

N2 - A system has been developed to acquire, extend and refine 3D geometric site models from aerial imagery. The system hypothesizes potential building roofs in an image, automatically locates supporting geometric evidence in other images, and determines the precise shape and position of the new buildings via multi-image triangulation. Projectively warped image intensity maps are associated with the faces of each recovered building, allowing realistic rendering of the scene from new viewpoints.

AB - A system has been developed to acquire, extend and refine 3D geometric site models from aerial imagery. The system hypothesizes potential building roofs in an image, automatically locates supporting geometric evidence in other images, and determines the precise shape and position of the new buildings via multi-image triangulation. Projectively warped image intensity maps are associated with the faces of each recovered building, allowing realistic rendering of the scene from new viewpoints.

UR - http://www.scopus.com/inward/record.url?scp=0029547827&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0029547827&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:0029547827

SN - 0819418390

SN - 9780819418395

T3 - Proceedings of SPIE - The International Society for Optical Engineering

SP - 244

EP - 254

BT - Proceedings of SPIE - The International Society for Optical Engineering

T2 - Integrating Photogrammetric Techniques with Scene Analysis and Machine Vision II

Y2 - 19 April 1995 through 21 April 1995

ER -

System for automated site model acquisition

Abstract

Publication series

Other

All Science Journal Classification (ASJC) codes

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