Optic Flow Statistics and Intrinsic Dimensionality

Date

2004-08-29

Author

Kalkan, Sinan
Calow, Dirk
Felsberg, Michael
Wörgötter, Florentin
Lappe, Markus
Kruger, Norbert

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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

URI

http://www.cs.stir.ac.uk/~lss/BICS2004/CD/papers/1090.pdf
https://hdl.handle.net/11511/96622

Conference Name

Brain Inspired Cognitive Systems

Collections

Department of Computer Engineering, Conference / Seminar

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Citation Formats

S. Kalkan, D. Calow, M. Felsberg, F. Wörgötter, M. Lappe, and N. Kruger, “Optic Flow Statistics and Intrinsic Dimensionality,” presented at the Brain Inspired Cognitive Systems, Stirling, İskoçya, 2004, Accessed: 00, 2022. [Online]. Available: http://www.cs.stir.ac.uk/~lss/BICS2004/CD/papers/1090.pdf.