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Inappropriate medication use such as wrong drug or wrong dose intake can be harmful to patients. In this work we present a method to automatically identify a pill from a single image using Convolutional Neural Network (CNN). We first localize the pill in the image by detecting the region with the highest concentration of edges. To overcome the challenge of minimal labeled training data and domain...
The compliant mechanisms are highly coupled and extremely nonlinear systems, where the dynamic model is generally used for the control of the system. This paper focuses on dynamic modeling of curve-type fully compliant mechanism, by taking the J-type bionic foot as an example. Based on the pseudo-rigid-body model and the Dynamic Nominal Mechanism (DNM) method, the dynamics model of the equivalent...
Historical parchment scrolls are fragile, and prone to damage from a variety of causes such as fire, water, and general mistreatment. Consequently many of these scrolls cannot be unrolled, so that their contents have remained hidden for centuries. To overcome these difficulties, we have developed a method of segmenting X-ray tomographic scans of parchment which enables a “virtual unrolling” of these...
For solving the picture misappropriation problem in e-commerce, this paper proposes a content-based copyright detection method for e-commerce website pictures. First, a picture is smoothed by bilateral filter in order to effectively preserve the key points in the edges and low-contrast regions, which ensure the integrity of its key points. Second, the picture's texture feature is extracted by using...
A new density- and grid-based clustering algorithm is proposed to identifying free shape clusters. The proposed algorithm is a non-parametric method, which does not require user specifying parameters for clustering. The algorithm divides each dimension of the data space into certain intervals to form a grid structure. The valley seeking procedure is employed to find the cluster centers where the data...
With the advance of 3D acquisition techniques, more and more 3D motion data with fine details become available. In order to efficiently represent the data, we explored different motion compensation algorithms through conventional techniques and analyzed their performance both in theory and by experiments. A novel motion compression framework based on local transformation is proposed to solve the existing...
The main goal of this study was to examine the effect of contralateral stimulation on auditory filter shape. Auditory filter was measured at 1 and 2 kHz for normal-hearing listeners using notched-noise method with and without contralateral stimulation presented. A broadband noise was presented as contralateral stimulation at three levels: 50, 60, and 70 dB SPL. Results indicated that contralateral...
This paper proposes a boosting EigenActions algorithm for human action categorization. In determining the EigenActions, a spatio-temporal information saliency is first calculated from the video sequence by estimating pixel density function. Since human action can be approximated as a periodic motion, salient action unit, which is one cycle of the motion, is extracted and EigenActions are determined...
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