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Conventional supervised object recognition methods have been investigated for many years. Despite their successes, there are still two suffering limitations: (1) various information of an object is represented by artificial features only derived from RGB images, (2) lots of manually labeled data is required by supervised learning. To address those limitations, we propose a new semi-supervised learning...
Donor cell injection is a significant technique in nuclear transfer and many other biological operations. Recent achievements in biology and biomedicine demonstrate great potential of these micromanipulation technologies. Traditionally, these operations are done manually, which require high professional skills and are of low repeatability. To overcome these disadvantages, automatic operation of this...
We present a new 3D region-based active contour model that is driven by an automatic and accurate object initialization scheme guided by the prior shape information. Because Laplace-Beltrami spectrum is isometric invariant, it is one of the best ways to represent the clinical shape of prostate. The general geometrical information (i.e. the elliptical or walnut shape for the prostate) of volumetric...
The use of hand gestures provides an attractive alternative to cumbersome interface devices for human-computer interaction (HCI). However, the number of hand gestures has not been fully explored for HCI application. It is necessary to achieve more gestures as the command of interface. This paper proposed a method to recognize nine different hand gestures. Using camera to get images of people wearing...
This paper reports a correlation between cellular morphology and the ability of adapting Vesicular stomatitis virus (VSV) infection. A time-lapse approach was employed to track the individual difference between homologous cells in adopting viral infection. Our single-cell analysis indicates that upon viral infection, mature cells that are in spindle shape are less likely to be infected after 24 hour...
We present the conformal magnifier, a novel interactive focus+context visualization technique that magnifies a region of interest (ROI) using conformal mapping. Our framework supports the arbitrary shape design of magnifiers for the user to enlarge the ROI while globally deforming the context region without any cropping. By using the mathematically well-defined conformal mapping theory and algorithm,...
Most visual surveillance and video understanding systems require knowledge of categories of objects in the scene. One of the key challenges is to be able to classify any object in a real-time procedure in spite of changes in the scene over time and the varying appearance or shape of object. In this paper, we explore the applications of kernel based online learning methods in dealing with the above...
This paper presents a new training framework for multi-class moving object classification in surveillance-oriented scene. In many practical multi-class classification tasks, the instances are close to each other in the input feature space when they have similar features. These instances may have different class labels. Since the moving objects may have various view and shape, the above phenomenon...
Taking the quantitative dynamic mechanical performance of MEMS device into acount, the accurate 3D geometric model of MEMS devices is very important. In this paper, the concept of virtual process was put forward; and each single process step is simulated by computer graphics at first; in this way, the whole process and typical shape changes are contained in virtual process. Next, the problems involved...
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