File:Capturing-Natural-Colour-3D-Models-of-Insects-for-Species-Discovery-and-Diagnostics-pone.0094346.g013.jpg
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Capturing-Natural-Colour-3D-Models-of-Insects-for-Species-Discovery-and-Diagnostics-pone.0094346.g013.jpg (712 × 428 pixels, file size: 86 KB, MIME type: image/jpeg)
Summary[edit]
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English: A) A typical set of camera poses cannot resolve the occlusion created by the wings of this insect, leading to inaccurate reconstruction between its wings (B–C). D) Additional images taken from camera poses looking along the insect body and wing surfaces dramatically improves reconstruction accuracy (E–F).
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Source | Image file from Nguyen C, Lovell D, Adcock M, La Salle J (2014). "Capturing Natural-Colour 3D Models of Insects for Species Discovery and Diagnostics". PLOS ONE. DOI:10.1371/journal.pone.0094346. PMID 24759838. PMC: 3997343. | |||||
Author | Nguyen C, Lovell D, Adcock M, La Salle J | |||||
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Date/Time | Thumbnail | Dimensions | User | Comment | |
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current | 15:43, 3 September 2014 | 712 × 428 (86 KB) | Recitation-bot (talk | contribs) | Automatic upload of media from: doi:10.1371/journal.pone.0094346 |
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Metadata
Categories:
- Cell biology
- Molecular cell biology
- Ecological metrics
- Evolutionary biology
- Phylogenetics
- Taxonomy
- Computer applications
- Web-based applications
- Computer modelling
- Computing methods
- Computer graphics
- Information technology
- Data mining
- Synthetic vision systems
- Electrical engineering
- Electronics engineering
- Computer engineering
- Signal processing
- Image processing
- Spectrum analysis techniques
- Image cytometry
- Media from Nguyen et al. 2014 - 10.1371/journal.pone.0094346