Algorithms for clustering data
Algorithms for clustering data
Genetic algorithms + data structures = evolution programs (3rd ed.)
Genetic algorithms + data structures = evolution programs (3rd ed.)
Using bilateral symmetry to improve 3D reconstruction from image sequences
Computer Vision and Image Understanding
Use of Explicit Knowledge for the Reconstruction of 3-D Object Geometry
CAIP '95 Proceedings of the 6th International Conference on Computer Analysis of Images and Patterns
Towards semantic maps for mobile robots
Robotics and Autonomous Systems
Semantic simulation engine for supervision of mobile robotic system
ICCCI'11 Proceedings of the Third international conference on Computational collective intelligence: technologies and applications - Volume Part II
Cognitive supervision and control of robotic inspection-intervention system
ICCCI'11 Proceedings of the Third international conference on Computational collective intelligence: technologies and applications - Volume Part II
Transactions on Computational Collective Intelligence IX
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We present a process to improve the structural quality of automatically acquired architectural 3D models. Common architectural features like orientations of walls are exploited. The location of these features is extracted by using a probabilistic technique (RANSAC). The relationships among the features are automatically obtained by labelling them usinga semantic net of an architectural scene. An evolutionary algorithm is used to optimise the orientations of the planes. Small irregularities in the planes are removed by projecting the triangulation vertices onto the planes. Planes in the resulting model are aligned to each other. The technique produces models with improved appearance. It is validated on synthetic and real data.