Vision with Direction: A Systematic Introduction to Image processing & Computer Vision

Description

Part I: Human and Computer Vision: Organization in Human Vision.- Direction, Frequency, and Velocity Preference.- Color.- Face Recognition.- Part II: Linear Tools of Vision: Discrete Images and Hilbert Spaces.- Continous Functions and Hilbert Spaces.- Finite Extension or Periodic Functions - Fourier Coefficients.- Fourier Transform - Infinite Extension Functions.- Properties of the Fourier Transform.- Reconstruction and Approximation.- Scales and Frequency Channels.- Part III: Vision of Single Direction: Direction in 2-D.- Generalized Direction in 2-D.- Part IV: Multiple Directions in Vision: N-folded Symmetry in Images.- Part V: Grouping, Segmentation, and Region Description: Reducing the Dimension of Features.- Feature Clustering.- Image Segmentation and Region Categorization.- Region and Boundary Descriptors.- Part VI: Vision of World Geometry: Camera Parameters.- World Geometry by Measurements in Images.- References