Akademik Veri Yönetim Sistemi
Brain Inspired Cognitive Systems, Stirling, Birleşik Krallık, 29 Ağustos - 01 Eylül 2004, ss.1-7
Different kinds of visual sub–structures (such as homogeneous,
edge-like and junction-like patches) can be distinguished by the
intrinsic dimensionality of the local signals. The concept of intrinsic dimensionality has been mostly exercised using discrete
formulations. A recent work [KF03,FK03] introduced a continuous
definition and showed that the inherent structure of the intrinsic
dimensionality has essentially the form of a triangle. The current
study work analyzes the distribution of signals according to the continuous interpretation of intrinsic dimensionality and the relation to
orientation and optic flow features of image patches. Among other
things, we give a quantitative interpretation of the distribution of
signals according to their intrinsic dimensionality that reveals specific patterns associated to established sub-structures in computer
vision. Furthermore, we link quantitative and qualitative properties
of the distribution of optic-flow error estimates to these pattern