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Probabilistic and biologically inspired feature representations

By: Felsberg, Michael.
Material type: materialTypeLabelBookSeries: Synthesis lectures on computer vision ; Number 16. Publisher: S.L. : Morgan & Claypool Publishers, 2018Description: xiii, 89p. ; iil. : 25 cm.ISBN: 9781681730233.Subject(s): Channel representation | Channel-coded feature | Map feature descriptor | SignatureDDC classification: 006.37 Summary: This text collects a substantial amount of work on the topic of channel representations. Channel representations are a biologically motivated, wavelet-like approach to visual feature descriptors: they are local and compact, they form a computational framework, and the represented information can be reconstructed. The first property is shared with many histogram- and signature-based descriptors, the latter property with the related concept of population codes.
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This text collects a substantial amount of work on the topic of channel representations. Channel representations are a biologically motivated, wavelet-like approach to visual feature descriptors: they are local and compact, they form a computational framework, and the represented information can be reconstructed. The first property is shared with many histogram- and signature-based descriptors, the latter property with the related concept of population codes.

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