A Procedure for Segmenting Surfaces by Symbolic and Iconic Image Fusion

Brunn, Ansgar; Lang, Felicitas; Förstner, Wolfgang

doi:10.1007/978-3-642-80294-2_2

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Determination Of Facade-planes And-points1

Strategy1

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1998

2007

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Cited by 3 publications

(2 citation statements)

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“…This fact is employed by robust least squares optimization of the three plane parameters including the elimination of outlier pixels, implicitly classifying the points on the plane. An alternative would have been to employ Brunn et al (1996). The result for the classification is given on the right side of Fig.…”

Section: Determination Of Facade-planes And-pointsmentioning

confidence: 98%

Building facade interpretation from uncalibrated wide-baseline image sequences

Mayer¹,

Reznik²

2007

ISPRS Journal of Photogrammetry and Remote Sensing

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Section: Determination Of Facade-planes And-pointsmentioning

confidence: 98%

Building facade interpretation from uncalibrated wide-baseline image sequences

Mayer¹,

Reznik²

2007

ISPRS Journal of Photogrammetry and Remote Sensing

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“…This selection should be regarded as a first choice. Future work will utilize a polymorphic reconstruction approach on the feature aggregate level, which will also include line-and region-induced feature aggregates, i.e., wings and faces [8]. Now, our current strategy consists of three main tasks, which are executed in sequence (cf.…”

Section: Strategymentioning

confidence: 99%

Extracting Buildings from Aerial Images Using Hierarchical Aggregation in 2D and 3D

Fischer¹,

Kolbe

Lang

et al. 1998

Computer Vision and Image Understanding

Self Cite

125

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We propose a model-based approach to automated 3D extraction of buildings from aerial images. We focus on a reconstruction strategy that is not restricted to a small class of buildings. Therefore, we employ a generic modeling approach which relies on the well-defined combination of building part models. Building parts are classified by their roof type. Starting from low-level image features we combine data-driven and model-driven processes within a multilevel aggregation hierarchy, thereby using a tight coupling of 2D image and 3D object modeling and processing, ending up in complex 3D building estimations of shape and location. Due to the explicit representation of well-defined processing states in terms of model-based 2D and 3D descriptions at all levels of modeling and data aggregation, our approach reveals a great potential for reliable building extraction.

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Cooperative algorithms and techniques of image analysis and GIS

Baltsavias

Hahn

1998

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A Procedure for Segmenting Surfaces by Symbolic and Iconic Image Fusion

Cited by 3 publications

References 3 publications

Building facade interpretation from uncalibrated wide-baseline image sequences

Building facade interpretation from uncalibrated wide-baseline image sequences

Extracting Buildings from Aerial Images Using Hierarchical Aggregation in 2D and 3D

Cooperative algorithms and techniques of image analysis and GIS

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