Feature space minimization of three-dimensional image recognition based on stochastic geometry and functional analysis
Nikolay G. Fedotov, A. A. Syemov, A. Moiseev · Machine Learning and Data Analysis · 2015
Background: In recent decades, the emphasis in the analysis and pattern recognition shifts from two-dimensional to three-dimensional (3D) images, because 3D design allows to use more information about the object.Three-dimensional modeling gives possibility to see object from different angles, in particular, allows to analyze its spatial form.