Learn More
Image differencing is used for many applications involving change detection. Although it is usually followed by a thresholding operation to isolate regions of change there are few methods available in the literature specific to (and appropriate for) change detection. We describe four different methods for selecting thresholds that work on very different(More)
We present a simple and fast mesh denoising method, which can remove noise effectively while preserving mesh features such as sharp edges and corners. The method consists of two stages. First, noisy face normals are filtered iteratively by weighted averaging of neighboring face normals. Second, vertex positions are iteratively updated to agree with the(More)
We propose a novel method for detecting mesh saliency, a perceptually-based measure of the importance of a local region on a 3D surface mesh. Our method incorporates <i>global</i> considerations by making use of spectral attributes of the mesh, unlike most existing methods which are typically based on <i>local</i> geometric cues. We first consider the(More)
We describe methods to measure the following properties of grey level corners: subtended angle, orientation, contrast, bluntness (or rounding of the apex), and boundary curvature (for cusps). Unlike most of the published methods for extracting these properties these methods are relatively simple, efficient and robust. They rely on the corner being(More)
Diffusion weighted (DW) MRI facilitates non-invasive quantification of tissue microstructure and, in combination with appropriate signal processing, three-dimensional estimates of fibrous orientation. In recent years, attention has shifted from the diffusion tensor model, which assumes a unimodal Gaussian diffusion displacement profile to recover fibre(More)
3D mesh models are now widely available for use in various applications. The demand for automatic model analysis and understanding is ever increasing. Mesh segmentation is an important step towards model understanding, and acts as a useful tool for different mesh processing applications, e.g. reverse engineering and modeling by example. We extend a random(More)
In this paper, we propose and evaluate a novel shape measure describing the extent to which a 3D polygon mesh is rectilinear. The rectilinearity measure is based on the maximum ratio of the surface area to the sum of three orthogonal projected areas of the mesh. It has the following desirable properties: 1) the estimated rectilinearity is always a number(More)
  • Paul L. Rosin
  • 1999
The partitioning of 2D shapes into subparts is an important component of shape analysis. This paper deenes a formulation of convexity a s a criterion of good part decomposition. It's appropriateness is validated by applying it to some simple shapes as well as against showing its close correspondence with Hooman and Singh's part saliency factors.
The objective of this paper is to develop an approach for efficiently and quantitatively evaluating thresholding algorithms for change detection in a surveillance environment. Previous evaluation in the literature has either been subjective or small scale, in part due to the difficulties and/or the time and effort involved in determining appropriate ground(More)