This paper presents a novel hardware implementation of the adaptive JPEG-LS in field programmable gate array (FPGA), based on the low complexity lossless compression for images (LOCO-I) compression scheme. Differently...
详细信息
Theories in fragmentation have proved that the statistics of image gradient magnitude followed a Weibull distribution, with β (scale) and γ (shape) as free parameters, which are demonstrated to be strongly correlate...
详细信息
ISBN:
(纸本)9781424469598;9781424469604
Theories in fragmentation have proved that the statistics of image gradient magnitude followed a Weibull distribution, with β (scale) and γ (shape) as free parameters, which are demonstrated to be strongly correlated with brain response. In this paper, we chose β extracted from the proposed strongest component map (SCM) in scale space, as the reduced reference (RR) feature, and developed a novel method for reduced reference image quality assessment (RRIQA) named βW-SCM. For each scale, the SCM was constructed by assembling coefficients with maximum amplitude among different orientations into a single map. The Weibull parameters were then estimated from the SCM. The final image quality was computed by summing the geometric mean of the defined absolute and relative deviations of β. Performance evaluation on the well-known LIVE database demonstrated an outstanding advantage of low RR feature data rate with nearly the same prediction accuracy and consistency.
In this paper, we propose spatial localization of multiple sound sources using a spherical robot head equipped with four microphones. We obtain arrival time differences using phase difference candidates. Based on the ...
详细信息
With the unprecedented growing of city economy and the crying need for public transportation,the ease of traffic related problems such as traffic jams has been a hard nut to crack everywhere. In this paper,a new metho...
详细信息
ISBN:
(纸本)9781424463473
With the unprecedented growing of city economy and the crying need for public transportation,the ease of traffic related problems such as traffic jams has been a hard nut to crack everywhere. In this paper,a new method based on convexity and concavity to better position the roads and streets of urban areas in order for further GPS/GIS integrated system,which is used for traffic flow analysis,traffic forecast,traffic induction and car positioning and tracking etc,is proposed. Compared with our previous work,this method can yield better results,and the accuracy that we get can be comparable to Google map. Our experiments are based on the data of the city of Shanghai and the results are very satisfying.
It is very necessary to observe, tracking and recognise interested space object including space debris around the earth. A simulation method about ground-based sensor observing, tracking and imaging space object is re...
详细信息
Based on the human auditory system for spatial localization theory, we proposed a spatial localization of multiple sound sources using a spherical robot head. Space sound vectors recorded by a microphone array with sp...
详细信息
In tooth implantation surgery, dentist or surgeon needs to derive quantitative information about the place each implant should be go, the length and width of each implant should be, as well as the angle each implant s...
详细信息
Gait is thought to be the most effective feature for human recognition in the distance. For optimal performance, the feature should include as many different types of information as possible, so in this paper, we pres...
详细信息
ISBN:
(纸本)9781424478712
Gait is thought to be the most effective feature for human recognition in the distance. For optimal performance, the feature should include as many different types of information as possible, so in this paper, we present an integrated feature, which integrates motion feature and shape feature based on the Bayesian theory. For motion feature, we use shape variation-based frieze pattern (SVB frieze pattern) as the basis, since it can solve the ball or backpack problems very well, then we match the SVB frieze pattern feature by dynamic time warping (DTW). For shape feature, we use gait energy image (GEI) as the basis, since it is less sensitive to the silhouette noise, then we extract further information by histograms of oriented gradients (HOG) and do the dimensionality reduction by coupled subspaces analysis (CSA) and discriminant analysis with tensor representation (DATER). The proposed approach is tested on the CMU MoBo gait database. The result shows that the proposed approach is an efficient way in increasing the accuracy.
Surface integrity of 3D medical imaging is crucial for surgery simulation or virtual diagnoses. However, undesirable holes often exist due to external damage on bodies or accessibility limitation on scanners. To bridg...
详细信息
Surface integrity of 3D medical imaging is crucial for surgery simulation or virtual diagnoses. However, undesirable holes often exist due to external damage on bodies or accessibility limitation on scanners. To bridge the gap, the paper proposes an algorithm of filling holes for 3D medical image data based on moving least squares (MLS) method. In the algorithm, medical data is classified into two types and procedure is designed according to the classification. The procedure consists of two steps, namely hole detection and hole completion. In completion part, the detected hole can be automatically filled by interpolation with known surrounding points. Moreover, a threshold is used to constrain the density of the completed surface, so the sampling rate on reconstructed area complies with the original data. We test our algorithm on two types of medical data and the results indicate a robust solution.
In this paper, we propose a novel fusion-based gender classification method for 3D frontal neutral expression facial shape. Face landmarks, extracted from 3D face shape based on profiles and curvature, are separated a...
详细信息
ISBN:
(纸本)9781424455690
In this paper, we propose a novel fusion-based gender classification method for 3D frontal neutral expression facial shape. Face landmarks, extracted from 3D face shape based on profiles and curvature, are separated as four regions. Experimental investigation to evaluate the significance of different facial regions in the task of gender classification is performed. The classification is performed by using Support Vector Machines (SVMs) based on the feature of regions. Classification results show that the upper region of face contains the highest amount of gender information. Matcher weighting fusion method is also applied to fusion the classification result of four regions. Experimental results demonstrate that fusing multiple facial features can achieve highest correct classification rate to 94.3%.
暂无评论