Cargando…
Building Keypoint Mappings on Multispectral Images by a Cascade of Classifiers with a Resurrection Mechanism
Inspired by the boosting technique for detecting objects, this paper proposes a cascade structure with a resurrection mechanism to establish keypoint mappings on multispectral images. The cascade structure is composed of four steps by utilizing best bin first (BBF), color and intensity distribution...
Autores principales: | Li, Yong, Jing, Jing, Jin, Hongbin |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2015
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4481929/ https://www.ncbi.nlm.nih.gov/pubmed/26007729 http://dx.doi.org/10.3390/s150511769 |
Ejemplares similares
-
Addendum: Li, Y.; Jing, J.; Jin, H.; Qiao, W. Building Keypoint Mappings on Multispectral Images by a Cascade of Classifiers with a Resurrection Mechanism. Sensors 2015, 15, 11769–11786
por: Li, Yong, et al.
Publicado: (2015) -
Novelty Detection Classifiers in Weed Mapping: Silybum marianum Detection on UAV Multispectral Images
por: Alexandridis, Thomas K., et al.
Publicado: (2017) -
Multicow pose estimation based on keypoint extraction
por: Gong, Caili, et al.
Publicado: (2022) -
Nonrigid Registration of Brain Tumor Resection MR Images Based on Joint Saliency Map and Keypoint Clustering
por: Gu, Zhijun, et al.
Publicado: (2009) -
Robust Keypoint Detection and Matching on Fisheye Images by Self-Supervised Learning
por: Tian, Wei, et al.
Publicado: (2022)