Riemannian structure and flows for smooth geometric image labeling
The image labeling problem can be described as assigning to each pixel a single element from a finite set of predefined labels. Recently, a smooth geometric approach for inferring such label assignments was proposed by following the Riemannian gradient flow of a given objective function on the so‐ca...
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| Main Authors: | , |
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| Format: | Article (Journal) |
| Language: | English |
| Published: |
18 November 2019
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| In: |
Proceedings in applied mathematics and mechanics
Year: 2019, Volume: 19, Issue: 1 |
| ISSN: | 1617-7061 |
| DOI: | 10.1002/pamm.201900218 |
| Online Access: | Verlag, lizenzpflichtig, Volltext: https://doi.org/10.1002/pamm.201900218 Verlag, lizenzpflichtig, Volltext: https://onlinelibrary.wiley.com/doi/10.1002/pamm.201900218 
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| Author Notes: | Fabrizio Savarino and Christoph Schnörr |
| Summary: | The image labeling problem can be described as assigning to each pixel a single element from a finite set of predefined labels. Recently, a smooth geometric approach for inferring such label assignments was proposed by following the Riemannian gradient flow of a given objective function on the so‐called assignment manifold. |
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| Item Description: | Gesehen am 20.01.2021 |
| Physical Description: | Online Resource |
| ISSN: | 1617-7061 |
| DOI: | 10.1002/pamm.201900218 |