Human observers are adept at perceiving complex actions in point-light biological motion displays that represent the human form with a sparse array of moving points. However, the neural computations supporting action perception remain unclear, particularly with regards to central versus peripheral vision. We created novel action stimuli comprised of Gabor patches to examine the contributions of...

Gabor descriptors have been widely used in iris texture representations. However, fixed basic Gabor functions cannot match the changing nature of diverse iris datasets. Furthermore, a single form of iris feature cannot overcome difficulties in iris recognition, such as illumination variations, environmental conditions, and device variations. This paper provides multiple local feature representa...

We present a system for the visualization of an important signal processing techniquea Gabor Filter bank’s response to an image. To do this, one must overcome the problem that no multi-dimensional space can be shown in a a single, static graph. We use an interactive widget to change the visible range of the projected dimensions, and additional graphics which summarize the responses in the proje...

We describe an active millimeter-wave holographic imaging system that uses compressive measurements for three-dimensional (3D) tomographic object estimation. Our system records a two-dimensional (2D) digitized Gabor hologram by translating a single pixel incoherent receiver. Two approaches for compressive measurement are undertaken: nonlinear inversion of a 2D Gabor hologram for 3D object estim...

The Gabor expansion, which maps the time domain signal into the joint time and frequency domain, has long been recognized as a very useful tool in signal processing. Its applications, however, were limited due to the difficulties associated with selecting the Gabor coefficients. Because timeshifted and frequency-modulated elementary functions in general do not constitute an orthogonal basis, th...

Fingerprint patterns are full of ridges and valleys and these structures provide essential information for matching, recognition, and classi"cation. Conventionally, most researchers use minutiae, a group of ridge endings and bifurcations, as the features of "ngerprint patterns [1]. Unfortunately, the minutia-based approach contains many time-consumption steps and relies heavily on the quality o...

This article presents our investigation on applying the Gabor waveletbased image encoding and processing technique to the nissl-stained rat brain slice images. In past, the Gabor wavelet-based method has been successfully applied to the task of face recognition. Our main question is, however, how universal the Gabor wavelet-based method is; can we apply the method to other classes of object wit...

Abstract. Starting from a general operator representation in the time-frequency domain, this paper addresses the problem of approximating linear operators by operators that are diagonal or band-diagonal with respect to Gabor frames. A characterization of operators that can be realized as Gabor multipliers is given and necessary conditions for the existence of (Hilbert-Schmidt) optimal Gabor mul...