Model-to-model Refinement
Model-to-Model Refinement is a model transformation approach that belongs to the broader category of model-to-model transformations, distinguished by its focus on incrementally enhancing the level of detail, precision, or completeness of a source model while preserving its semantic essence to produce a more refined target model.
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99
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2017–2026
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ElasticFusion: Dense SLAM Without A Pose Graph
Thomas J. Whelan, Stefan Leutenegger, Renato Salas Moreno et al. · 2015 · 813 citations · Full text
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University of California, Irvine
Irvine, United States
2 h-index
4 publications
64 citations

Centre National de la Recherche Scientifique
Paris, France
2 h-index
7 publications
706 citations
RWTH Aachen University
Aachen, Germany
2 h-index
9 publications
303 citations
Motorola (United States)
Schaumburg, United States
2 h-index
2 publications
32 citations
University of Stuttgart
Stuttgart, Germany
2 h-index
3 publications
32 citations

The Open University
Milton Keynes, United Kingdom
1 h-index
3 publications
132 citations
United States Naval Observatory
Flagstaff, United States
1 h-index
1 publications
19 citations
University College London
London, United Kingdom
1 h-index
1 publications
16 citations
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1 publications · 16 citations
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PNAS · 1 publications · 68 citations
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1 publications · 19 citations
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1 publications · 19 citations
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1 publications · 12 citations
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