How texture elements are combined to detect boundaries: A machine learning approach
How texture elements are combined to detect boundaries: A machine learning approach is a scholarly work, published in 2018 in ''Journal of Vision''. The main subjects of the publication include contrast, mathematics, orientation (vector space), artificial intelligence, texture, stimulus, luminance, computer vision, bidirectional texture function, psychophysics, color psychology, color constancy, machine learning, pattern recognition, computer science, and visual perception. The work demonstrates the potential of machine learning methods for modeling second-order boundary perception, an important visual task which cannot be characterized using standard linear modeling techniques.