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Pathologists often rely on features of the subcellular structures, i.e., nucleus and cytoplasm, to differentiate different types of immune cells. Accurate segmentation of the sub-cellular structures can help classify cell types. However, segmentation in histology tissue images is very challenging, due to, intra-class variations and inter-class similarity, complex and crowded background, and noisy...
The focusing capabilities for one dimensional (1D-CR MIMO) and two dimensional circularly rotating multiple input multiple output (2D-CR-MIMO) arrays in different media are investigated. Impact of the position of the focusing point on the beamwidth and sidelobe structure is investigated. Impact of the medium (dielectric permittivity and ohmic losses) on the focusing capabilities is studied. For focusing...
Emotions evoked by were analyzed. An estimation of the correlation coefficient was applied to determine features of music that evoke an emotion. These features were then used to train two support vector machines (SVMs) for an individual subject to classify music that evokes happiness, anger, sadness, and peacefulness. The proposed approach can be used to classify music that evokes an emotion and to...
This paper first demonstrates an interesting property of bundle adjustment (BA), “scale drift correction”. Here “scale drift correction” means that BA can converge to the correct solution (up to a scale) even if the initial values of the camera pose translations and point feature positions are calculated using very different scale factors. This property together with other properties of BA makes it...
Constructing 3D human model from 2D images provides a cost-effective approach to visualize digital human in virtual environment. This paper presents a systematic approach for constructing 3D human model using the front and side images of a person. The silhouettes of human body are first detected and the feature points on the silhouettes are subsequently identified. The feature points are further used...
In this paper, we present a novel method of analyzing retinal vasculature using Fourier Fractal Dimension to extract the complexity of the retinal vasculature enhanced at different wavelet scales. Logistic regression was used as a fusion method to model the classifier for 5-year stroke prediction. The efficacy of this technique has been tested using standard pattern recognition performance evaluation,...
An integrated sensor array system is developed for detection and identification of environmental pollutants in diesel and gasoline exhaust fumes. The system includes a low noise floor analog front-end followed by a signal processing stage. Classification methods are used since the pollutants are often encountered as complex mixtures. In this paper, we present techniques to detect, digitize and classify...
Exploring brain electrical activity represented by electroencephalogram (EEG) signals for biometric applications has recently attracted increasing research attention since EEG pattern has been shown to be unique for each individual. In this paper, we propose an Independent Component Analysis (ICA) based EEG feature extraction and modeling approach for person authentication. Five dominating Independent...
In this paper, we propose a novel automatic approach for personalized music sports video generation. Two research challenges are addressed, specifically the semantic sports video content extraction and the automatic music video composition. For the first challenge, we propose to use multimodal (audio, video, and text) feature analysis and alignment to detect the semantics of events in broadcast sports...
It is well-known that supervised learning techniques such as linear discriminant analysis (LDA) often suffer from the so called small sample size problem when apply to solve face recognition problems. This is due to the fact that in most cases, the number of training samples is much smaller than the dimensionality of the sample space. The problem becomes even more severe if only one training sample...
Analysis of skin inner tissue in three-dimensional (3-D) has great significance for cosmetics industry. In our research work, we developed a method of automatically extracting the surface of skin inner tissue from volumetric confocal microscope images, as well as reconstructing a 3-D model. The proposed method is derived from 3-D active contour model. Active contour model is an image segmentation...
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