Symmetry sensitivities of derivative-of-gaussian filters

TY - JOUR

T1 - Symmetry sensitivities of derivative-of-gaussian filters

AU - Griffin, Lewis D.

AU - Lillholm, Martin

PY - 2010

Y1 - 2010

N2 - We consider the measurement of image structure using linear filters, in particular derivative-of-Gaussian (DtG) filters, which are an important model of V1 simple cells and widely used in computer vision, and whether such measurements can determine local image symmetry. We show that even a single linear filter can be sensitive to a symmetry, in the sense that specific responses of the filter can rule it out. We state and prove a necessary and sufficient, readily computable, criterion for filter symmetry-sensitivity. We use it to show that the six filters in a second order DtG family have patterns of joint sensitivity which are distinct for 12 different classes of symmetry. This rich symmetry-sensitivity adds to the properties that make DtG filters well-suited for probing local image structure, and provides a set of landmark responses suitable to be the foundation of a nonarbitrary system of feature categories.

AB - We consider the measurement of image structure using linear filters, in particular derivative-of-Gaussian (DtG) filters, which are an important model of V1 simple cells and widely used in computer vision, and whether such measurements can determine local image symmetry. We show that even a single linear filter can be sensitive to a symmetry, in the sense that specific responses of the filter can rule it out. We state and prove a necessary and sufficient, readily computable, criterion for filter symmetry-sensitivity. We use it to show that the six filters in a second order DtG family have patterns of joint sensitivity which are distinct for 12 different classes of symmetry. This rich symmetry-sensitivity adds to the properties that make DtG filters well-suited for probing local image structure, and provides a set of landmark responses suitable to be the foundation of a nonarbitrary system of feature categories.

U2 - 10.1109/TPAMI.2009.91

DO - 10.1109/TPAMI.2009.91

M3 - Journal article

C2 - 20431132

SN - 0162-8828

VL - 32

SP - 1072

EP - 1083

JO - I E E E Transactions on Pattern Analysis and Machine Intelligence

JF - I E E E Transactions on Pattern Analysis and Machine Intelligence

IS - 6

ER -