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In this study, we proposed a method which could be used for mapping people's emotion state on the two-dimensional arousal-valence model of effect. The final target of our research is to apply this kind of emotional recognition system to robots or some assistant apparatus which service activities of daily living (ADL). Since in our previous studies, we have finished the work of recognizing people's...
Current and future high energy physics particle colliders are capable to provide instantaneous luminosities of 1034 cm−2 s−1 and above. The high center of mass energy, the large number of simultaneous collision of beam particles in the experiments and the very high repetition rates of the collision events pose huge challenges. They result in extremely high particle fluxes, causing very high occupancies...
The reduction of detectors in PET systems, without significantly compromising the PET utility, is an important cost consideration in a PET-system design. Recent advances in algorithm development can be used for enabling the design and assessment of innovative PET systems. In this work, we investigate PET configurations with reduced number of detectors by using the ASD-POCS algorithm that was developed...
Cone-beam CT (CBCT) has gained considerable popularity in dentistry over the past decade. The increasing use of dental CBCT also raised concern about potential radiation risk. It is thus desirable to lower the radiation dose in CBCT data acquisition. However, image quality may be degraded when current analytic-based algorithms are used for reconstructing images from low-dose CBCT data. Recently, optimization-based...
Traditionally, human facial expressions are recognized using standard images. These methods of recognition require subjective expertise and high computational costs. This article presents a novel facial expression recognition method using edge maps generated from standard images that can significantly improve computational efficiency. The edge maps are generated from a novel Bi-dimensional Empirical...
Traditionally, Linear Prediction is used to predict future values of a signal using past values. The goal is to minimize prediction errors. In this paper, we propose a novel method of utilizing prediction errors to extract edges of images. In this method, smooth prediction errors are minimized while steep changes (larger errors) are amplified. Therefore, when applied to image edge detection, edge...
The state of the art in millimeter-wave detection and imaging using Sb-heterostructure detectors has been advanced recently with demonstration of excellent low-noise performance through the use of very thin (< 15 Aring) tunnel barriers. This reduction in tunnel barrier thickness improves the noise by reducing the thermal noise associated with the junction resistance, Rj. However, the thinner barrier...
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