XVIIIth Congress: Commission VI

Kraus, Karl; Waldhäusl, Peter

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Multivolume work

Persistent identifier:: 1667435949

Title:: XVIIIth Congress

Sub title:: Vienna, Austria 1996

Year of publication:: 1996

Place of publication:: Vienna

Publisher of the original:: Austrian Society of Surveying and Geoinformation

Identifier (digital):: 1667435949

Language:: English

Editor:: Kraus, Karl; Waldhäusl, Peter

Corporations:: International Society for Photogrammetry and Remote Sensing, Congress, 18., 1996, Wien; International Society for Photogrammetry and Remote Sensing

Adapter:: International Society for Photogrammetry and Remote Sensing, Congress, 18., 1996, Wien; International Society for Photogrammetry and Remote Sensing

Founder of work:: International Society for Photogrammetry and Remote Sensing, Congress, 18., 1996, Wien; International Society for Photogrammetry and Remote Sensing

Other corporate:: International Society for Photogrammetry and Remote Sensing, Congress, 18., 1996, Wien; International Society for Photogrammetry and Remote Sensing

Document type:: Multivolume work

Volume

Persistent identifier:: 1677550198

Title:: Commission VI

Scope:: 149, 110, 92 Seiten

Year of publication:: 1996

Place of publication:: Vienna

Publisher of the original:: Austrian Society of Surveying and Geoinformation

Identifier (digital):: 1677550198

Illustration:: Illustrationen, Diagramme

Signature of the source:: ZS 312(31,B6)

Language:: English

Additional Notes:: Die Vorlage enthält insgesamt 3 Werke: Commission VI (Seiten 1-149); National reports (Seiten 1-110); Special sessions (Seiten 1-92)

Other Title:: Enthaltendes Werk: National Reports; Enthaltendes Werk: Special sessions

Usage licence:: Attribution 4.0 International (CC BY 4.0)

Editor:: Kraus, Karl; Waldhäusl, Peter

Corporations:: International Society for Photogrammetry and Remote Sensing, Congress, 18., 1996, Wien; International Society for Photogrammetry and Remote Sensing; International Society for Photogrammetry and Remote Sensing, Commission Economic, Professional, and Educational Aspects of Photogrammetry and Remote Sensing

Adapter:: International Society for Photogrammetry and Remote Sensing, Congress, 18., 1996, Wien; International Society for Photogrammetry and Remote Sensing; International Society for Photogrammetry and Remote Sensing, Commission Economic, Professional, and Educational Aspects of Photogrammetry and Remote Sensing

Founder of work:: International Society for Photogrammetry and Remote Sensing, Congress, 18., 1996, Wien; International Society for Photogrammetry and Remote Sensing; International Society for Photogrammetry and Remote Sensing, Commission Economic, Professional, and Educational Aspects of Photogrammetry and Remote Sensing

Other corporate:: International Society for Photogrammetry and Remote Sensing, Congress, 18., 1996, Wien; International Society for Photogrammetry and Remote Sensing; International Society for Photogrammetry and Remote Sensing, Commission Economic, Professional, and Educational Aspects of Photogrammetry and Remote Sensing

Publisher of the digital copy:: Technische Informationsbibliothek Hannover

Place of publication of the digital copy:: Hannover

Year of publication of the original:: 2019

Document type:: Volume

Collection:: Earth sciences

Chapter

Title:: Special Session

Document type:: Multivolume work

Structure type:: Chapter

Chapter

Title:: EXPLOITING PHOTOGRAMMETRIC METHODS FOR BUILDING EXTRACTION IN AERIAL IMAGES. Jefferey A. Shufelt [...] Commission Ill, Working Group 2

Document type:: Multivolume work

Structure type:: Chapter

EXPLOITING PHOTOGRAMMETRIC METHODS FOR BUILDING EXTRACTION IN AERIAL IMAGES Jefferey A. Shufelt Digital Mapping Laboratory School of Computer Science, Carnegie Mellon University 5000 Forbes Avenue, Pittsburgh, PA 15213-3891 USA Email: js@maps.cs.cmu.edu Commission Ill, Working Group 2 KEY WORDS: Vision, photogrammetry, recognition, extraction, modeling, image understanding, geometric constraints, au- tomated building detection ABSTRACT Traditional computer vision techniques for automated building extraction have neglected the use of photogrammetric camera modeling as a source of geometric information. By incorporating knowledge about the image acquisition geometry at every phase of a building detection process, robust performance can be achieved on a wide variety of scenes. This paper describes the role of rigorous photogrammetric camera modeling in PIVOT, a fully automated building extraction system that uses only a single view to generate three-dimensional structure hypotheses. We present both qualitative and quantitative results on a varied set of complex aerial imagery. KURZFASSUNG Traditionelle Techniken aus dem Computer-Vision Bereich zur automatischen Gebaudeextraktion haben die Verwendung pho- togrammetrischer Kameramodelle als geometrische Information vernachlaessigt. Durch die Einbeziehung von Wissen über die Geometrie der Bildaufnahme auf jeder Stufe der Gebäudeerkennung können robuste Ergebnisse für eine Reihe von Szenen gewonnen werden. Dieser Beitrag beschreibt die Rolle der Kameramodellierung in PIVOT, einem vollautomatischen Gebäudeerkennungssystem, das Einzelbilder zur Ableitung dreidimensionaler Strukturhypothesen verwendet. Wir präsentieren sowohl qualitative als auch quantitative Ergebnisse für eine Reihe verschiedener, komplexer Luftbilder. 1 INTRODUCTION of geometric constraints for building extraction. A particu- larly attractive feature of these constraints is that they do not limit the scope of a building extraction system, since the constraints are intrinsic to the imaging acquisition process. Recent preliminary work illustrated the effectiveness of the combination of photogrammetric modeling with computer vi- sion techniques [McGlone and Shufelt, 1994]. Building extraction from aerial images has been a topic of great interest in the computer vision community for sev- eral years. The compilation of detailed digital cartographic databases over suburban and urban areas requires accurate modeling of manmade structures, a task currently accom- plished by tedious and error-prone manual techniques. Sys- tems capable of partially or fully automating the building ex- In this paper, the effects of photogrammetric model- traction process would permit more efficient generation of ing are discussed in the context of PIVOT (Perspective accurate building models. From a research standpoint, build- Interpretation of Vanishing points for Objects in Three di- ing extraction also presents a challenging test for computer mensions), a fully automated monocular building extraction vision techniques. A system which achieves robust perfor- system under development at the Digital Mapping Labora- mance on aerial imagery must be able to address a wide va- tory. PIVOT employs a canonical data-driven approach to riety of viewing angles and object shapes, correctly interpret building detection, constructing intermediate features from object and shadow occlusions, and distinguish natural and raw edge data, and generating building hypotheses from those manmade features. intermediate features. A major distinction between PIVOT and the systems preceding it is the thorough integration of photogrammetric modeling in all phases of the building ex- traction process. Traditionally, computer vision techniques for building extrac- tion have neglected the use of photogrammetric camera mod- eling, instead treating the image as the sole source of in- formation. This restrictive view of the problem mandates the use of constraints on the image and the scene, to make existing vision algorithms tractable. Both region-based and feature-based techniques make strict assumptions about im- age geometry and scene content, and consequently exhibit poor performance on imagery where buildings are not eas- ily segmented by intensity criteria alone, or where complex shapes are prevalent and oblique viewing angles violate as- sumptions about image acquisition geometry. 2 VANISHING POINTS AND BUILDING PRIMITIVES Under a central projection camera model, a set of parallel lines in a scene projects to a set of lines in the image which converge on a single point, known as a vanishing point. Be- cause each vanishing point corresponds to a unique orienta- tion in 3-space, detecting these points leads to a powerful approach for inferring 3D structure from 2D images. The The central idea behind the research described in this pa- classical technique for detecting vanishing points [Barnard, per is that rigorous photogrammetric camera modeling not 1983] utilizes a Gaussian sphere, a unit sphere with origin at only allows generation of building hypotheses in object space, the perspective center. The endpoints of each line segment a necessity for realistic cartographic applications [McKeown in the image form planes with the perspective center, known and McGlone, 1993], but also serves as a valuable source as interpretation planes. Using the sphere as an accumula- 74 International Archives of Photogrammetry and Remote Sensing. Vol. XXXI, Part B6. Vienna 1996 Fig plat tor sph tog seg geo Gai nol: can ing sho orie sph pos elin sph the the det An no of no util To chc Th fro. to anc var stri an to str

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