An efficient algorithm addressing robust disparity estimation based on region information is proposed. In the proposed method, a new adaptive-size window approach is introduced to stereo matching in order to overcome problems with fixed-size window. The reliability of disparity estimation is then measured with a criterion based on uniqueness and smoothness constrains. In occluded areas and imag...

In this paper, a new SOM competition algorithm is proposed for image recognition applications. The competition in this algorithm depends on a subset of most discriminate weights of the network codebooks. This indeed can reduce the required recognition time of one image. In addition, the competition is applied on the pixels corresponding to the object gray levels only, this allows recognizing co...

We show that a continuous map or a continuous flow on Rn with a certain recurrence relation must have a fixed point. Specifically, if there is a compact set W with the property that the forward orbit of every point in R n intersects W then there is a fixed point in W . Consequently, if the omega limit set of every point is nonempty and uniformly bounded then there is a fixed point. In this note...

Detection of partially occluded objects is a challenging computer vision problem. Standard Convolutional Neural Network (CNN) detectors fail if parts of the detection window are occluded, since not every sub-part of the window is discriminative on its own. To address this issue, we propose a novel loss layer for CNNs, named grid loss, which minimizes the error rate on sub-blocks of a convolutio...

In this paper, we propose and study a new window protocol suitable for transmitting time-constrained messages in a multiaccess network. Our protocol differs from traditional window protocols in that it explicitly takes time constraints into account. In our protocol, the window is formed based on the latest time to send a message (LS). A major advantage of our window protocol is that a newly arr...

Cryoelectron tomography opens a window into the inner space of cells. It combines the potential of three-dimensional imaging with a close-to-life preservation of biological samples. Tomograms with molecular resolution are essentially images of the cellular proteome and, in conjunction with advanced pattern recognition techniques, they can be used to map the molecular landscape inside organelles...

Photogrammetric terrain reconstruction from aerial and space stereopairs of images occupies a prominent place in cartography and remote sensing. Stereo vision systems determine depth from two or more images using automated techniques. The most important and time consuming task for a stereo vision system is the registration of both images, i.e. the matching of corresponding pixels. Area based st...

Let Ea : y 2 + xy = x + ax + 1/F2m be a Koblitz curve. The window τ -adic nonadjacent-form (window τNAF) is currently the standard representation system to perform scalar multiplications on Ea by utilizing the Frobenius map τ . Pre-computation is an important part for the window τNAF. In this paper, we first introduce μτ̄ -operations in lambda coordinates (μ = (−1)1−a and τ̄ is the complex conjug...

Objective: In this research, a new approach termed as “evolutionary-based brain map” is presented as a diagnostic tool to classify schizophrenic and control subjects by distinguishing their electroencephalogram (EEG) features.Methods: Particle swarm optimization (PSO) is employed to find discriminative frequency bands from different EEG channels. By deploying the energy of those selected fr...