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Texture boundaries or edges are useful information for segmenting a texture image. We present the experimental results of texture edge detection using 1-D and 2D multichannel, multiresolution gabor, log gabor and circular gabor filters and self organizing map (SOM). The traditional Gabor function is modified into a circular symmetric version to achieve rotation invariance. The log gabor provides the...
Most image retargeting algorithms rely heavily on valid saliency map detection to proceed. But the inefficiency of high quality saliency map detection severely restricts applications of these image retargeting methods. In this paper, we describe a stochastic algorithm for efficient context-aware saliency map detection. Our method is a multiple level saliency map detection algorithm which integrates...
PMD camera is an active 3D camera based on TOF principle. This camera can capture intensity image and depth map at the same time and also has advantages of high frame rate, non-scan and independence on ambient light, etc. But the depth data are contaminated by random noise and systematic bias. To solve this problem, this paper analyzes the factors that affect the precision of distance data and presents...
In iris recognition, eyelash occlusions will reduce the accuracy of iris recognition, an algorithm of eyelash occlusions detection based on endpoint identification is proposed in this paper. By analyzing the structural characteristics of eyelashes, this algorithm identifies the endpoints of eyelashes projection in the outer circularity of iris, and finally uses a sector region to represent the eyelash...
This paper introduces a tuning algorithm of self-quotient ε-filter (SQEF) and support vector machine (SVM), and its application to noise robust human detection combining SQEF, histograms of oriented gradients (HOG), and SVM. Although human detection combining HOG and SVM is a powerful approach, as it uses local intensity gradients, it is difficult to handle noise corrupted images. On the other hand,...
Fingerprint scanners have unique patterns that can be used to distinguish one scanner from another one. The pattern, which we call scanner pattern, stems from the variability of device characteristics at silicon level and is caused by imperfections of the conversion from the input to the scanner (i.e., the object applied to it) to its output (i.e., the digital image). The scanner pattern is a sufficiently...
We report on the design of a prototype IC called FPDR90 dedicated for readout of hybrid pixel semiconductor detectors used for X-ray imaging applications. The FPDR90 has dimensions of 4 mm × 4 mm and was designed in CMOS 90 nm technology with 9 metal layers. The core of the IC is a matrix of 40×32 pixels with 100 µm ×100 µm pixel size. Each pixel contains a fast charge sensitive amplifier (CSA), a...
Obstacle detection has been one of the most critical features for reliable driving scene analysis. This paper presents an approach for an automatic obstacle detection system. The proposed system makes use of depth information generated by a 3D camera mounted on the front of a moving vehicle. Obstacles projected as line features in the V-U-Disparity map can be extracted to detect the road surface and...
This paper studies a variational Bayesian unmixing algorithm for hyperspectral images based on the standard linear mixing model. Each pixel of the image is modeled as a linear combination of endmembers whose corresponding fractions or abundances are estimated by a Bayesian algorithm. This approach requires to define prior distributions for the parameters of interest and the related hyperparameters...
Cashiers in retail stores usually exhibit certain repetitive and periodic activities when processing items. Detecting such activities plays a key role in most retail fraud detection systems. In this paper, we propose a highly efficient, effective and robust vision technique to detect checkout-related primitive activities, based on a hierarchical finite state machine (FSM). Our deterministic approach...
In this paper we present both theoretical modeling and experimental data on the noise performance of two different division of focal plane polarization imaging sensors. Theoretical estimations of the Stokes parameter signal-to-noise ratios for CCD polarization imaging sensors with both 4-polarizer and 2-polarizer micropolarization filter arrays are derived. The theoretical derivation is verified with...
In this paper, a new algorithm for dynamic vehicle license plate localisation is proposed on the basis of signature analysis and connected component analysis. Most existing techniques use low level features such as detection of colour and edges, these methods may have issues with reliability. The proposed algorithm however, aims to manipulate more accurate perceptual motion information. The camera...
Edge detection plays a critical role in image processing. The performance of an edge detection algorithm can be affected by serious noise & intensity inhomogeneities. In this paper, a method aiming at detecting edge of image with varieties of gradient signal degradation is proposed. The method comprises two steps. The first step is to perform adaptive histogram equalization to improve the signal...
We present a novel stereo video disparity estimation method. The proposed method is a two-stage algorithm. During the first stage, initial disparity maps are computed in a frame-by-frame basis. In the second stage, the initial estimates are treated as a space-time volume. By setting up an l1-normed minimization problem with a novel three-dimensional total variation regularization, spatial smoothness...
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