Template matching is the search for a known object, represented by a template image, at an arbitrary location within a larger image. The local measure of match is often desired to be invariant to certain transforms, such as rotation and dilation, of the template. While a variety of solutions have been proposed, most are designed to provide invariance to a specific transform or set of transforms...

Abstract The use of deep convolutional neural networks has greatly improved the performance general face detection. For detecting rotated faces, mainstream approach is to multi-stage detectors gradually adjust a vertical orientation for detection, which increases complexity training as multiple are involved. In this study, we propose new method rotation-invariant abandons previously used cascad...

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This paper studies a new method for wavelet-based image denoising which is translation invariant (TI) and rotation invariant (RI). These invariances are crucial in image denoising and, more generally, may play important roles in image modeling. In contrast to other approximately RI methods, like the steerable pyramid, our new method employs standard separable wavelet bases in conjunction with a...

A given (overcomplete) discrete oriented pyramid may be converted into a steerable pyramid by interpolation. We present a technique for deriving the optimal interpolation functions (otherwise called steering coefficients). The proposed scheme is demonstrated on a computationally efficient oriented pyramid, which is a variation on the Burt and Adelson pyramid. We apply the generated steerable py...

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Rotationsinvarianz in exemplarbasierter Bildvervollständigung Autor: Martin Eller Über exemplarbasierte Bildvervollständigungsmethoden wurde, wegen ihrer Leistungsstärke in der Anwendung auf Bildern mit Textur, in den letzten Jahren viel geforscht. In dieser Thesis wird das variationelle Modell für exemplarbasierte Bildvervollständigung um einen zusätzlichen Freiheitsgrad, die Rotationsinvarian...

With fast evolving resources for 3D objects such as the Protein Data Bank (PDB) or theWorld Wide Web, new techniques, so-called similarity models to efficiently and effectively search for these 3D objects become indispensible. Invariances w.r.t. specific geometric transformations such as scaling, translation, and rotation are important features of similarity models. In this paper, we focus on r...

Invariants to image scaling composed of Gaussian–Hermite moments are introduced in this paper for the first time. To achieve the invariance, we propose to modulate the Gaussian–Hermite polynomial basis using variable parameter σ, the value of which depends on the input image. The scaling invariance property can be coupled with the rotation invariance presented earlier. This approach is applicab...

In this article a comparative study is carried out between three different types of detectors and feature descriptors on a mobile tracked robot. The detectors and descriptors are SIFT, SURF and ORB. The metrics used as a comparison are: processing time, resistance to noise and invariance to rotation. The experiments show that the ORB technique is the fastest obtaining similar results in the res...