Danny Gibbins

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This paper describes a method for extracting salient local features from 3D models using shape variation which has application to 3D surface registration. In the proposed technique, the surface shape at a point is specified by a quantitative measure known as the shape index. It is invariant to rigid transformations such as translation and rotation. The(More)
Received February 3, 1993; revised manuscript received July 22, 1993; accepted July 22, 1993 We examine the pioneering method of Pentland [J. Opt. Soc. Am. 72, 448 (1982)] for automatically estimating the direction of the "sun" (light source) from a single image. It is shown that, under the assumptions used in the derivation of the method, the estimate of(More)
Traditionally, Inverse Synthetic Aperture Radar (ISAR) image frames are classified individually in an automatic target recognition system. When information from different image frames is combined, it is usually in the context of timeaveraging to remove statistically independent noise fluctuations between images. The sea state induced variability of the ship(More)
A framework for extracting salient local features from 3D models is presented in this paper. In the proposed method, the amount of curvature at a surface point is specified by a positive quantitative measure known as the curvedness. This value is invariant to rigid body transformation such translation and rotation. The curvedness at a surface position is(More)
This paper presents a novel stochastic microwave method for the detection, location and reconstruction of electric properties of breast cancer in a simplified breast phantom. The method is based on the inversion of time domain data. The problem is recast as an optimization one by defining a suitable cost function which is then minimized using an efficient(More)
In this paper, we present a method for extracting salient local features from 3D models using surface curvature which has application to 3D object recognition. In the developed technique, the amount of curvature at a point is specified by a positive number known as the curvedness. This value is invariant to rotation as well as translation. A local(More)
Detecting background changes in scenes containing significant numbers of moving objects has several applications in video surveillance. One important example is the detection of suspicious packages left in busy airport terminals or train stations. This paper outlines a statistical approach to automatically detecting long term changes to the stationary(More)
In this paper we present a methodical evaluation of the performance of a new and two traditional approaches to automatic target recognition (ATR) based on silhouette representation of objects. Performance is evaluated under the simulated conditions of imperfect localization by a region of interest (ROI) algorithm (resulting in clipping and scale changes) as(More)
This paper presents an investigation of ISAR image classification based on a comparison of range-Doppler imagery to 3D ship reference models. This comparison is performed in the image domain by estimating the motion of a sequency of ISAR images, generating 3D reference models corresponding to the same motion and matching the models with the given ISAR(More)