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In this paper we intend to present an original approach that incorporates geometric shape prior into region-based active contours. A Fourier-based shape alignment method is used to define prior knowledge from a reference shape. A set of complete and stable invariants to Euclidean transformations computed using Fourier transform on contours is used to choose the most suitable reference shape to the...
CMOS image sensors with rolling exposure have come to be widely used, but they cannot avoid the distortion inherent to rolling exposure no matter how much exposure speed improves for capturing a moving target. The need has consequently been felt for global-shutter CMOS image sensors.
There has been increasing demand for high-reality video systems. Thus, there has been research and development into ultra-high-definition television (UDTV) schemes for the next-generation television broadcasting system called “Super Hi-Vision” (SHV). This system aims to improve viewing experience using higher-resolution pictures. A pixel count of 7680×4320 and frame rate of 120fps are defined as full-spec...
In this paper, a novel plane fitting algorithm with low complexity and high accuracy is proposed to refine the depth maps generated by stereo matching. We first compute the confidence coefficient for each pixel in the depth map by cross checking and stable pixel calculation. According to the outlier pixel percentage for each segment, we choose one method, either proposed weighted least square error...
Most of conventional object matching methods are based on comparing the local features, which are too computational demanding to achieve realtime performance on object detection in videos. Recently, Dominant Orientation Templates (DOT) method was proposed to make online feature detection and comparison feasible. However, it still suffers the problem of fragility due to the noise and partial occlusions...
This paper is to propose a new design of Iterative learning Control (ILC) for the purpose of output tracking. The novelty lies in the synthesis of ILC with sliding-mode control such that the tracking performance and accuracy can be improved. The considered system is first transformed into two subsystems such that the new design can be applied to broad systems. Based on the transformed systems, an...
The recent evolution of digital communication systems (voice, data and video) has been dramatic. The 3GPP Long Term Evolution (LTE) system is one of the latest developments in wireless telecommunications. This system deploy Orthogonal Frequency Division Multiplexing (OFDM) physical layer consisting of large number of mutually orthogonal sub carriers. This characteristic provides high robustness against...
An application which operates on an imbalanced dataset loses its classification performance on a minority class, which is rare and important. There are a number of over-sampling techniques, which insert minority instances into a dataset, to adjust the class distribution. Unfortunately, these instances highly affect the computation of generating a classifier. In this paper, a new simple and effective...
Digital in painting is the technique of filling in the missing regions of an image using information from the surrounding area in a visually indistinguishable way. In this paper, we try to improve the Exemplar based method by manipulating the values of various parameters like patch size, shape and size of the mask. We present an analysis of the impact of various geometric parameters on the quality...
Feature is very important in either supervised or unsupervised word sense disambiguation processing. This paper investigates the relationship between the number of feature and the performance of supervised Chinese word sense disambiguation on Semeval 2007 Multilingual Chinese-English Lexical Sample task. It shows that local basic feature within window size 3 provides adequate information to do disambiguation...
In this paper, we exploit some global shape properties in an efficient shape matching and retrieval method, which is robust with respect to rigid transformations (translation, rotation, scaling) and some deformations. The retrieval of similar shapes is obtained by normalizing the query shape and the database shapes using the area, the center of mass and the minimum bounding box. Then, an alignment...
In a multi-access channel, completion time refers to the number of channel uses required for users, each with some given fixed bit pool, to complete the transmission of all their data bits. In this paper, the characterization of the completion time region is based on the concept of constrained rates, where users' rates are defined over possibly different number of channel uses. An information theoretic...
We describe a generalization of the group testing problem termed symmetric group testing. Unlike in classical binary group testing, the roles played by the input symbols zero and one are “symmetric” while the outputs are drawn from a ternary alphabet. Using an information-theoretic approach, we derive sufficient and necessary conditions for the number of tests required for noise-free and noisy reconstructions...
For a binary system specified by the density operators p0 and p1 and by the prior probabilities q0 and q1 Helstrom's theory permits the evaluation of the optimal measurement operators and of the corresponding maximum correct detection probability. The theory is based on the eigendecomposition (EID) of the operator, given by the difference of the weighted density operators, namely D = qlρl — q0ρ0....
The notion of directed information was recently introduced for stochastic processes in continuous time. The key idea of the definition is to consider all possible time partitions of a given interval. Unlike the definition of mutual information of discrete-time random variables with continuous alphabets where the supremum over all possible partitions of the alphabets plays an important role, here the...
Minimum mean square error (MMSE) estimation of block sparse signals from noisy linear measurements is considered. Unlike in the standard compressive sensing setup where the non-zero entries of the signal are independently and uniformly distributed across the vector of interest, the information bearing components appear here in large mutually dependent clusters. Using the replica method from statistical...
The starting point of any derivation is a suitable representation of the given model. Hypercomplex numbers sometimes provide a more compact representation and more insight into a problem's structure than the reals or the complex numbers. Hence, efficient filters are needed for hypercomplex numbers as well. As there is a large zoo of different hypercomplex numbers obeying different algebras it is cumbersome...
We present a compact CMOS circuit implementation for detection of neural spikes from noisy background. The circuit occupies 105 µm × 105 µm. Due to its small size, the circuit is well suited for spike detection in large format, high density microelectrode arrays where the chip area is the primary limiting constraint. The design consists of an amplifier and a differentiator to improve spike detection...
In this paper we review a maximum a posteriori (MAP) approach detection method in a Bayesian scheme which incorporates prior information about the source flux distribution, the locations and the number of sources of extragalactic point sources in images of the Cosmic Microwave Background. This new technique allows us to obtain fast solutions and to fix the number of detected sources in a non-arbitrary...
A novel nonlinear volumetric scale-space framework is proposed for multi-scale volumetric data representation. The problem is formulated as a Bayesian least-squares estimator, and a quasi-random density estimation approach is introduced for estimating the posterior distribution between consecutive volumetric scale space realizations. Experimental results using both synthetic and real MR volumetric...
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