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Jan Vandekerckhove

dblp:57/6695 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 1998
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Graphics, computer vision, multimedia, augmented reality and games · 2Artificial intelligence and machine learning · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer graphics and multimedia
1 paper
Geometric modeling and processing · 100%
Interdisciplinary, comprehensive, and emerging computing
1 paper
Smart cities and intelligent transportation · 100%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Geometric modeling and processing
3d reconstruction
0.011998
Automatic Modeling and 3D Reconstruction of Urban House Roofs from High Resolution Aerial Imagery · ECCV (1) 1998
Smart cities and intelligent transportation › urban informatics
urban modeling
0.011998
Automatic Modeling and 3D Reconstruction of Urban House Roofs from High Resolution Aerial Imagery · ECCV (1) 1998

Methods — techniques the papers use, named apart from their topics

aerial imagery analysis · 0.0
YearPublicationVenuePosition
1998 Semi-Automatic Modelling of Urban Buildings from High Resolution Aerial Imagery
abstract
A method is presented to (semi-)automatically generate 3D models of urban buildings from aerial images. The process starts by selecting (with a mouse click) one or more roofs in the image(s). The program then automatically delineates the roof structures in the images and extracts straight line segments which are matched across different views and reconstructed in 3D. These 3D line segments are then grouped into coplanar sets and combined into polygonal shapes. Each polygon hypothesis is verified with respect to the 3D reconstruction and the original image data; and, if necessary, corrected accordingly. Subsequently, the polygons are combined into a polyhedral roof model. The emphasis here is on extracting the correct topology of the roof structure. Metric accuracy is obtained by back-projecting the model into the images and minimizing the total reprojection error. Finally, the building model is completed by adding vertical walls to the reconstructed roof. The approach is tested on a state-of-the-art dataset of aerial images of residential areas in Brussels.
David Frère, Jan Vandekerckhove, Theo Moons, Luc Van Gool
Computer Graphics International2
1998 Automatic Modeling and 3D Reconstruction of Urban House Roofs from High Resolution Aerial Imagery
Theo Moons, David Frère, Jan Vandekerckhove, Luc Van Gool
ECCV (1)3