This paper presents a scale and rotation invariant face detection system. The system employs a hierarchical neural network, called SICoNNet, whose processing elements are governed by the nonlinear mechanism of shunting inhibition. The neural network is used as a face/nonface classifier that can handle in-plane rotated patterns. To train the network as a rotation invariant face classifier, an en...

Detecting pedestrians in images and videos plays a critically important role in many computer vision applications. Extraction of effective features is the key to this task. Promising features should be discriminative, robust to various variations and easy to compute. In this work, we presents a novel feature, termed pyramid center-symmetric local binary/ternary patterns (pyramid CS-LBP/LTP), fo...

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...

In this paper we describe a multiresolution approach to edge detection using a sequential search algorithm. The use of a multiresolution image pyramid allows integration of global edge information contained in lower resolutions to guide the sequential search at higher resolutions. As a consequence, dependence on a priori knowledge about the image edges is greatly reduced. Estimating the sequent...

The Benford's law has been proposed in the very past in order to modelize the probability distribution of the rst digit in a set of natural numbers. In this report, we prove that this law is validated in the digital images domain, not for the images but for the magnitude of their gradient. We show, experimentaly, that this also apply for the laplacian pyramid code. This yields to the eld of ent...

An extreme point of scale space extraction method for binary multiscale and rotation invariant local feature descriptor is studied in this paper in order to obtain a robust and fast method for local image feature descriptor. Classic local feature description algorithms often select neighborhood information of feature points which are extremes of image scale space, obtained by constructing the i...

depression disorders are associated with serious dysfunction and depressive symptoms. cognitive slowing is a clear symptom observed in all depressed people. pvsat is a measure of cognitive function that specifically assesses visual information processing speed and flexibility, as well as calculation ability. the aim of the present study was to determine whether the paced visual serial addition ...

Super-resolution is a technique to restore the detailed information from the degenerated data. Lots of previous work is for 2D images while super-resolution of 3D models was little addressed. This paper focuses on the super-resolution of 3D human faces. We firstly extend the 2D image pyramid model to the progressive resolution chain (PRC) model in 3D domain, to describe the detail variation dur...

In this paper, we use a modified Gaussian filter to improve enlargement accuracy of the arbitrary scale LP enlargement method, which is based on the Laplacian pyramid representation (so called “LP method”). The parameters of the proposed algorithm are extracted through a theoretical analysis and an experimental estimation. Experimental results show that the proposed modified Gaussian filter is ...

This study proposed a natural-rule-based-connection (NRBC) method to connect river segments after water body detection from remotely sensed imagery. A complete river network is important for many hydrological applications. While water body detection methods using remote sensing are well-developed, less attention has been paid to connect discontinuous river segments and form a complete river net...