Automatic recognition and 3D reconstruction of buildings from digital imagery:
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Abschlussarbeit Buch |
| Sprache: | English |
| Veröffentlicht: |
München
Beck
2000
|
| Schriftenreihe: | Bayerische Akademie der Wissenschaften <München> / Deutsche Geodätische Kommission: [Deutsche Geodätische Kommission bei der Bayerischen Akademie der Wissenschaften / C]
526 |
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | Zsfassung in dt. Sprache |
| Beschreibung: | 110 S. Ill., graph. Darst. |
| ISBN: | 3769695658 |
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Datensatz im Suchindex
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| adam_text | Titel: Automatic recognition and 3D reconstruction of buildings from digital imagery
Autor: Ameri Shahrabi, Babak
Jahr: 2000
Contents
Contents
Zusammenfassung 5
Abstract 6
1 Introduction 13
1.1 Needs for 3D Model of Landscape................................... 14
1.1.1 Building Objects are Prominent ................................ 15
1.2 Objectives of the Thesis......................................... 17
1.2.1 General Framework ....................................... 17
1.2.2 Achievements........................................... 18
1.3 Thesis Outline .............................................. 19
2 Building Reconstruction in Literature 21
2.1 Introduction................................................ 21
2.2 Theme in Building Reconstruction................................... 21
2.2.1 Primary Data Sources and Cues................................ 22
2.2.2 Supporting Object Model: Specific vs. Generic........................ 23
2.2.3 Methodology........................................... 24
2.3 Semi-Automated Methods........................................ 26
2.4 Automated Methods........................................... 27
3 Robust Parameter Estimation 28
3.1 Introduction................................................ 28
3.2 Least Squares Principles......................................... 28
3.3 Robust Parameter Estimation Methods in Computer Vision..................... 32
3.3.1 M-Estimator........................................... 32
3.3.2 Random Sampling........................................ 35
3.3.3 Clustering............................................. 36
3.3.4 Case Deletion Diagnostics.................................... 37
3.3.5 Minimum Description Length.................................. 37
3.4 Synthesis Robust Estimators ...................................... 37
4 Prom Pixels to Geometric Primitives 41
4.1 Introduction................................................ 41
4.2 Why Region-based Segmentation.................................... 41
4.3 Geometric Characteristics of Surfaces ................................. 43
4.3.1 Mean and Gaussian Curvatures................................. 44
4.4 Regions of Interest............................................ 46
Contents
4.5 Iterative Region-based Segmentation.................................. 48
4.5.1 Image Noise Estimation..................................... 49
4.5.2 Flat Pixels Type Labeling.................................... 50
4.5.3 Edge Pixels Extraction...................................... 51
4.5.4 Seed Region Extraction..................................... 52
4.5.5 Region Growing ......................................... 53
4.5.5.1 Error Tolerance Thresholds.............................. 54
4.5.5.2 Relaxation Labeling in Region Analysis....................... 54
5 Generic Polyhedral-Like Model Reconstruction 57
5.1 Introduction................................................ 57
5.2 Primary Roof Elements in 3D Object Space.............................. 57
5.3 Polygons Adjacency Relationships ................................... 60
5.4 Merging Compatible Adjacent 3D Polygons.............................. 64
5.5 POLY-MODELER: Generic Polyhedral-Like Model Generator.................... 66
5.5.1 Basic Notation.......................................... 67
5.5.2 Mathematical Concept and Methodology ........................... 70
5.6 Experiments and Results......................................... 74
6 Feature Based Model Verification 77
6.1 Introduction................................................ 77
6.2 Motivation ................................................ 77
6.3 Feature Based Model Verification.................................... 78
6.4 Mathematical Foundation........................................ 80
6.4.1 Image Based Observations.................................... 81
6.4.1.1 Linearity: A Local Internal Geometric Constraint ................. 81
6.4.1.2 Connectivity: A Global Internal Topological Constraint.............. 84
6.4.2 Image-Object Based Observations............................... 85
6.4.2.1 Collinearity. A Global External Geometric Constraint............... 85
6.4.3 Object Based Observations................................... 87
6.4.3.1 Coplanarity. A Global External Geometric Constraint............... 87
6.4.3.2 Conditional Constraints................................ 87
6.4.4 Combined Least Squares Adjustment.............................. 89
6.5 Experiments and Result............................... .... 89
6.6 Quality Assessment................................ ... 93
7 Disscusion and Future Directions 95
7.1 Conclusion ........................... 95
7.2 Directions for Further Research................ 97
Bibliography gg
A Experimental Results
Acknowledgements
Curriculum Vitae ..., q
List of Figures
List of Figures
1.1 Proposed setup for automatic recognition and 3D reconstruction of building objects ....... 18
1.2 Three different building roof structures a) gable roof, b) hipped-gable roof, c) complex roof ... 19
3.1 Linear regression: fit 1) six of the seven points are selected as inliers and the best fitted line
are obtained by RANSAC (courtesy of Fischler and Bolles 1981), fit 2) least squares estimation
provides an erroneous solution...................................... 30
3.2 Physical analogy that illustrates the sensivity of least squares methods to outliers (courtesy of
Schunck 1990)............................................... 30
3.3 Hampel three-part M-estimator functions: a) Minimum function p(x), b) Influence function ip(x),
c) weight function w(x) ......................................... 34
3.4 Estimated 3D plane-roof polygon of a building roof overlaid on the 3D perspective view of the
correponding DSM: a) 2D plane-roof region overlaid on corresponding roof structure, b) corre-
sponding 3D plane-roof polygon back projected into the object space based on a standard LS
estimation process, c) corresponding 3D plane-roof polygon back projected into the object space
based on the RANSAC process, d) corresponding 3D plane-roof polygon back projected into the
object space based on the synthesis robust estimation techniques.................. 38
4.1 Object structure represented by its geometric primitives....................... 42
4.2 Eight fundamental surface types defined by mean and Gaussian curvatures signs (Courtesy of
Besl 1988)................................................. 45
4.3 3D perspective view of an image wrapped over corresponding DSM.................46
4.4 Morphological opening of DSM: a) grey value based DSM image, b) 3D perspective view of DSM,
c) 3D perspective view of computed DTM............................... 47
4.5 Extracted regions of interest: a) the 3D perspective of the extracted region wrapped over core-
sponding DSM, b) extracted region overlaid on the corresponding aerial image...........48
4.6 Computed edge pixels binary image................................... 52
4.7 Extracted seed region overlaid on corresponding region of interest.................. 53
4.8 Extracted 2D plane-roof regions overlaid on corresponding buildings roof: a) gable roof structure
building, b) hipped-gable roof structure building, .c) complex roof structure building........ 56
5.1 Estimated 3D plane-roof polygons in object space: a) extracted 2D plane roof regions of a gable
roof structure, b) estimated 3D plane-roof polygons overlaid on corresponding gable roof struc-
ture building in object space, c) extracted 2D plane roof regions, and d) estimated 3D plane-roof
polygons overlaid on corresponding hipped-gable roof structure, e) extracted 2D plane roof re-
gions, and f) estimated 3D plane-roof polygons overlaid on corresponding complex roof structure
building................................................... 59
5.2 Correspondence between a Voronoi diagram and its dual, Delaunay triangulation network, a)
Voronoi diagram, b) corresponding Delaunay triangulation network................. 60
5.3 Delaunay triangulation network generated based on the central gravity points of corresponding
2D plane-roof polygons.......................................... 61
5.4 Chamfer 3-4 mask proposed by Borgefors (1986), a) symmetric Chamfer 3-4 mask used for parallel
process, b) Chamfer 3-4 forward and , c) Chamfer 3-4 backward masks used for sequential process 62
10 List of Figures
5.5 Computation of Voronoi diagram based on distance transformation, a) the central point of each
polygon primitive is considered as kernel point, b), and c) show the corresponding distance image
and Voronoi diagram respectively, d) the polygonal primitives (medium size) are considered as
initial kernel points, e), and f) illustrate the corresponding distance image and Voronoi diagram,
the adjacency relationships between primitives are changed, g) the complete polygonal primitives
are considered as initial kernel points, g), and h) illustrate the corresponding distance image and
Voronoi diagram, the adjacency relationships between primitives are significantly changed.....63
5.6 Computation of polygon adjacency relationships (PAR), a) initial kernel polygons, b) distance
image, the gray area in the middle indicates the zero distance, c) generated Voronoi diagram, d)
computed adjacency graph........................................64
5.7 Merging adjacent 3D plane-roof polygons, a) and c) the 3D perspective view of the primary 3D
plane-roof polygons of a gable and a complex roof structure building respectively, b) and d ) the
corresponding 3D plane-roof polygons after merging operation....................66
5.8 Polygon parameterization.........................................68
5.9 3D intersection of adjacent polygons...................................68
5.10 Stitching operation of adjacent polygons................................ 69
5.11 Analysis of the point of intersection between three adjacent 3D-polys gives an indication of
polygon convexity, a) 3D-poly p , is a convex 3D-polygons, b) 3D-poly p , is a concave 3D-polygons 70
5.12 Analysis of concave polygons...................................... 72
5.13 An example of the roof modeling based on the 3D intersection of the adjacent plane-faces .... 73
5.14 Determination of the feasible region (extension of the plane-surfaces of the roof model) by simul-
taneous solution of a set of n linear inequality conditions....................... 74
5.15 3D building roof modeling, a), d), and g) extracted 3D plane-roof polygons of a gable, hipped-
gable and a complex roof structure before roof modeling respectively, b), e), and h) 3D per-
spective view of the corresponding reconstructed 3D coarse building roof models, c), f), and 1)
reconstructed coarse building roof models overlaid on corresponding building roof structures in
2D image space.............................................. 76
6.1 Perspective projection of a building into corresponding images ................... 79
6.2 Uncertainty buffer of homologous model edges in corresponding images............... 82
6.3 Selected edge-pixels during the first iteration of the estimation process............... 82
6.4 Regression of a 2D image edge to the representative edge-pixels................... 83
6.5 Selected edge-pixels during the last iteration of the estimation process............... 84
6.6 Intersection of two adjacent edges.................................... 84
6.7 Two orthogonal adjacent edges..................................... 88
6.8 Reconstructed gable roof structure building: a) reconstructed coarse building model overlaid on
aerial image, b) reconstructed fine building model overlaid on aerial image, c) perspective view
of the reconstructed 3D coarse building model, d) perspective view of the 3D fine building model. 90
6.9 Reconstructed hipped-gable roof structure building: a) reconstructed coarse building model over-
laid on aerial image, b) reconstructed fine building model overlaid on aerial image, c) perspective
view of the reconstructed 3D coarse building model, d) perspective view of the 3D fine building
model.................................................... 91
6.10 Reconstructed complex roof structure building: a) reconstructed coarse building model overlaid
on aerial image, b) reconstructed fine building model overlaid on aerial image, c) perspective view
of the reconstructed 3D coarse building model, d) perspective view of the 3D fine building model. 92
6.11 Top view of a single complex building................................. 93
A.I Reconstructed coarse buildings overlaid on the corresponding aerial image.............106
A.2 Perspective view of 3D reconstructed coarse buildings........................106
A.3 final reconstructed buildings overlaid on the corresponding aerial image..............107
List of Figures 11
A.4 Perspective view of the final 3D reconstructed buildings.......................107
A.5 Perspective view of 3D reconstructed coarse buildings overlaid on the DSM............108
A.6 Perspective view of the final 3D reconstructed buildings overlaid on the DSM...........108
12 List of Tables
List of Tables
3.1 The number m of subsets required to ensure p 95% for given u and e, where p is the probability
that all the data points selected in one subset are non-outliers (courtesy of Torr and Murray 1993). 36
3.2 Comparison of the 3D reference plane with the corresponding 3D plane-roof polygons computed
based on different estimation process.................................. 39
4.1 Maximum possible number of combination between s randomly selected elements from a set of q
distinct elements............................................. 42
4.2 Eight basic surface types defined by mean and Gaussian curvature signs (courtesy of Besl 1988) . 50
6.1 Verified coarse building model based on two corresponding aerial images.............. 94
6.2 Verified coarse building model based on four corresponding aerial images.............. 94
|
| any_adam_object | 1 |
| author | Ameri Shahrabi, Babak 1966- |
| author_GND | (DE-588)122605837 |
| author_facet | Ameri Shahrabi, Babak 1966- |
| author_role | aut |
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| author_variant | s b a sb sba |
| building | Verbundindex |
| bvnumber | BV013498688 |
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| ctrlnum | (OCoLC)47322782 (DE-599)BVBBV013498688 |
| discipline | Geographie |
| format | Thesis Book |
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| indexdate | 2024-07-09T18:46:53Z |
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| language | English |
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| record_format | marc |
| series2 | Bayerische Akademie der Wissenschaften <München> / Deutsche Geodätische Kommission: [Deutsche Geodätische Kommission bei der Bayerischen Akademie der Wissenschaften / C] |
| spelling | Ameri Shahrabi, Babak 1966- Verfasser (DE-588)122605837 aut Automatic recognition and 3D reconstruction of buildings from digital imagery Babak Ameri Shahrabi München Beck 2000 110 S. Ill., graph. Darst. txt rdacontent n rdamedia nc rdacarrier Bayerische Akademie der Wissenschaften <München> / Deutsche Geodätische Kommission: [Deutsche Geodätische Kommission bei der Bayerischen Akademie der Wissenschaften / C] 526 Zsfassung in dt. Sprache Zugl.: Stuttgart, Univ., Diss., 2000 Dreidimensionales maschinelles Sehen gtt Haus gtt Hochschulschrift gtt Photogrammetrie gtt Gebäude (DE-588)4156127-2 gnd rswk-swf Dreidimensionale Rekonstruktion (DE-588)4150634-0 gnd rswk-swf Maschinelles Sehen (DE-588)4129594-8 gnd rswk-swf Fotogrammetrie (DE-588)4045892-1 gnd rswk-swf Luftbildauswertung (DE-588)4139867-1 gnd rswk-swf (DE-588)4113937-9 Hochschulschrift gnd-content Gebäude (DE-588)4156127-2 s Maschinelles Sehen (DE-588)4129594-8 s Fotogrammetrie (DE-588)4045892-1 s Luftbildauswertung (DE-588)4139867-1 s DE-604 Dreidimensionale Rekonstruktion (DE-588)4150634-0 s Deutsche Geodätische Kommission: [Deutsche Geodätische Kommission bei der Bayerischen Akademie der Wissenschaften / C] Bayerische Akademie der Wissenschaften <München> 526 (DE-604)BV000004312 526 HBZ Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=009214173&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Ameri Shahrabi, Babak 1966- Automatic recognition and 3D reconstruction of buildings from digital imagery Dreidimensionales maschinelles Sehen gtt Haus gtt Hochschulschrift gtt Photogrammetrie gtt Gebäude (DE-588)4156127-2 gnd Dreidimensionale Rekonstruktion (DE-588)4150634-0 gnd Maschinelles Sehen (DE-588)4129594-8 gnd Fotogrammetrie (DE-588)4045892-1 gnd Luftbildauswertung (DE-588)4139867-1 gnd |
| subject_GND | (DE-588)4156127-2 (DE-588)4150634-0 (DE-588)4129594-8 (DE-588)4045892-1 (DE-588)4139867-1 (DE-588)4113937-9 |
| title | Automatic recognition and 3D reconstruction of buildings from digital imagery |
| title_auth | Automatic recognition and 3D reconstruction of buildings from digital imagery |
| title_exact_search | Automatic recognition and 3D reconstruction of buildings from digital imagery |
| title_full | Automatic recognition and 3D reconstruction of buildings from digital imagery Babak Ameri Shahrabi |
| title_fullStr | Automatic recognition and 3D reconstruction of buildings from digital imagery Babak Ameri Shahrabi |
| title_full_unstemmed | Automatic recognition and 3D reconstruction of buildings from digital imagery Babak Ameri Shahrabi |
| title_short | Automatic recognition and 3D reconstruction of buildings from digital imagery |
| title_sort | automatic recognition and 3d reconstruction of buildings from digital imagery |
| topic | Dreidimensionales maschinelles Sehen gtt Haus gtt Hochschulschrift gtt Photogrammetrie gtt Gebäude (DE-588)4156127-2 gnd Dreidimensionale Rekonstruktion (DE-588)4150634-0 gnd Maschinelles Sehen (DE-588)4129594-8 gnd Fotogrammetrie (DE-588)4045892-1 gnd Luftbildauswertung (DE-588)4139867-1 gnd |
| topic_facet | Dreidimensionales maschinelles Sehen Haus Hochschulschrift Photogrammetrie Gebäude Dreidimensionale Rekonstruktion Maschinelles Sehen Fotogrammetrie Luftbildauswertung |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=009214173&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| volume_link | (DE-604)BV000004312 |
| work_keys_str_mv | AT amerishahrabibabak automaticrecognitionand3dreconstructionofbuildingsfromdigitalimagery |