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Urban scene classification using features extracted from photogrammetric point clouds acquired by uav
(2019-06-04)
Images and LiDAR point clouds are the two major data sources used by the photogrammetry and remote sensing community. Although different, the synergy between these two data sources has motivated exploration of the potential ...
Scene classification based on semantic labeling
(07/14/2015)
Finding an appropriate image representation is a crucial problem in robotics. This problem has been classically addressed by means of computer vision techniques, where local and global features are used. The selection ...
Creating classifier ensembles through meta-heuristic algorithms for aerial scene classification
(2020-01-01)
Convolutional Neural Networks (CNN) have been being widely employed to solve the challenging remote sensing task of aerial scene classification. Nevertheless, it is not straightforward to find single CNN models that can ...
SnooperText: A text detection system for automatic scenes indexing of urban scenes
(Academic Press Inc Elsevier ScienceSan DiegoEUA, 2014)
Registration of a three-dimensional model of a human head over a scene using color and depth information
(Instituto Nacional de Astrofísica, Óptica y Electrónica, 2014)
Registration of a three-dimensional model of a human head over a scene using color and depth information
(Instituto Nacional de Astrofísica, Óptica y Electrónica, 2014)
Scene Understanding for Mobile Robots Exploiting Deep Learning Techinques
(2017-09-05)
Every day robots are becoming more common in the society. Consequently, they must have certain basic skills in order to interact with humans and the environment. One of these skills is the capacity to understand the places ...