Human arm viscoelasticity is important in stabilizing posture, movement, and in interacting with objects. Viscoelastic spatial characteristics are usually indexed by the size, shape, and orientation of a hand stiffness ellipse. It is well known that arm posture is a dominant factor in determining the properties of the stiffness ellipse. However, it is still unclear how much joint stiffness can ...

This thesis proposes an improved interactive brain tumor segmentation method based on graph cuts, which is an efficient global optimization framework for image segmentation, and star shape, which is a general segmentation shape prior with minimal user assistance. Our improvements lie in volume ballooning, compactness measure and inclusion constraints. Volume ballooning is incorporated to help t...

This paper proposes the use of a particle filter combined with color, depth information and shape features as an efficient and effective way to deal with tracking a head on the basis of image stream coming from a mobile stereovision camera. The head is modeled in the 2D image domain by an ellipse. The color distribution within interior of the ellipse is represented by a color histogram. The col...

We present optical and neutral hydrogen observations of the central ∼2 kpc in NGC 4151, and examine the distribution and kinematics of neutral hydrogen in the vicinity of the optical circumnuclear dust ‘ellipse’. The V-I colour map, derived from broad-band images obtained using TAURUS II in imaging mode, shows clearly the red arcs which delineate the 11′′ × 18′′ dust ellipse detected previously...

Objectives To evaluate the abdominal visceral fat area (VFA), we developed novel ultrasonographic (US) methods for estimating. Methods 100 male volunteers were recruited, and their VFA was calculated by two novel US methods, the triangle method and the ellipse method. The VFA calculated by these methods was compared with the VFA calculated by CT. Results Both the VFA calculated by the trian...

Detecting circles and ellipses in images is the first step of many computer vision applications including industrial robotic operations and autonomous navigation. To this end, point sequences constituting elliptic arcs are detected by image processing operations, and then an ellipse equation is fitted to them. In the past, many methods have been proposed for ellipse fitting [1], [3], [4]. Howev...

Suppose that N inputs to a linear, time-invariant channel are designed to maximize the minimum L , distance between channel outputs. It is assumed that all inputs are zero outside the finite time window [ T , TI and are constrained in energy. The jointly optimal inputs and channel frequency response H(f) for which the minimum distance is maximized is studied, subject to the constraint that the ...

Computer vision algorithms have historically been difficult to deploy in resource-constrained embedded systems. Ellipse detection or fitting is an important subproblem in computer vision, and these algorithms are computationally complex enough to pose significant design challenges when targeting an embedded system problem domain. This work describes a least squares ellipse fitting system target...