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DeepHMap++: Combined Projection Grouping and Correspondence Learning for Full DoF Pose Estimation
In recent years, estimating the 6D pose of object instances with convolutional neural network (CNN) has received considerable attention. Depending on whether intermediate cues are used, the relevant literature can be roughly divided into two broad categories: direct methods and two-stage pipelines....
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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MDPI
2019
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6427142/ https://www.ncbi.nlm.nih.gov/pubmed/30823451 http://dx.doi.org/10.3390/s19051032 |