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EVALUATION OF DEEP LEARNING BASED STEREO MATCHING METHODS: FROM GROUND TO AERIAL IMAGES
Dense image matching Deep learning Convolutional neural network Aerial stereos Transfer learning
2018/6/4
Dense stereo matching has been extensively studied in photogrammetry and computer vision. In this paper we evaluate the application of deep learning based stereo methods, which were raised from 2016 a...
SIMULATION OF THE «COSMONAUT-ROBOT» SYSTEM INTERACTION ON THE LUNAR SURFACE BASED ON METHODS OF MACHINE VISION AND COMPUTER GRAPHICS
Lunar Exploration Extravehicular Activity (EVA) Human-Robot Interaction (HRI) Mobile Robot Control "Follow Me" Mode Gesture Interface Object Tracking Gesture Recognition Motion Capture
2017/6/19
Extravehicular activity (EVA) on the lunar surface, necessary for the future exploration of the Moon, involves extensive use of robots. One of the factors of safe EVA is a proper interaction between c...
AUTOMATIC DETECTION OF PATTERNS IN ROAD NETWORKS -METHODS AND EVALUATION
pattern recognition networks vector data geometric information
2015/9/28
Spatial data play a major role in many areas. They are an important source of information for a wide range of applications. The
quality and quantity of data have increased in the last decades, resul...
Unsupervised Methods for Speaker Diarization: An Integrated and Iterative Approach
Bayesian nonparametric inference factor analysis HDP-HMM i-vectors principal component analysis speaker clustering speaker diarization spectral clustering variational Bayes
2014/11/27
Unsupervised Methods for Speaker Diarization: An Integrated and Iterative Approach.
On the Use of Spectral and Iterative Methods for Speaker Diarization
speaker diarization factor analysis Total Variability spectral clustering
2014/11/27
This paper extends upon our previous work using i-vectors for speaker diarization. We examine the effectiveness of spectral clustering as an alternative to our previous approach using Kmeans clusterin...