A modified Sammon's algorithm was applied to display a relationship between proteins based on their amino acid composition. In the first stage of the method the 19-dimensional compositional space of representative proteins was mapped into 2-dimensinal space using the original Sammon projection to create a contour map. In the second stage, the contour map was used as a reference for newly projec...

The goal of this paper is to extract automatically the building contours regardless of shape. By extracting these contours, detection results will be more accurate, giving useful information about urban area, which is important for many tasks, like map updating and disaster management. First, we extract local feature points from the image, based on a modification of Harris detector’s saliency f...

In this paper, a robust approach using a shape distribution histogram (SDH) feature and modified sparse representation classification (MSRC) for pedestrian detection in thermal infrared imagery is proposed. In this framework, the candidate regions that are more likely to contain the pedestrians are first detected based on the Contour Saliency Map. Then distances between random points on the thi...

In order to gain a better understanding of visual saliency, we have developed and algorithm which simulates the phenomenon of contour integration for the purpose of visual saliency. The model developed consists of the classical butterfly pattern of connection between orientation selective neurons in the primary visual cortex. In addition, we also add a local group suppression gain control to el...

The encoding of image partitions plays a key role in the overall efficiency of the so-called region-based image coding techniques. Recently, a method based on the novel concept of “transition point” was proposed for the lossless encoding of arbitrary contour maps. This paper addresses the problem of partition simplification in the context of this new encoding method. A new simplification approa...

We propose a new descriptor for human identification based on gait. The current and most prevailing trend in gait representation revolves around encoding body shapes as silhouettes averaged over gait cycles. Our method, however, captures geometric properties of the silhouettes boundaries. Namely, we evaluate contour curvatures locally using Gauss maps. This results in an improved shape represen...

Calculating the projective transformation which maps the two sides of a symmetric contour onto each other is an important step in the recognition of objects with symmetric contours, such as planar symmetric objects or surfaces of revolution. Within a more complex recognition system, many such calculations have to be performed as part of the hypotheses generation process, and it is therefore ess...

Standard methods for image interpolation are based on smoothly fitting the image intensity surface. Recent edgedirected interpolation methods add limited geometric information (edge maps) to build more accurate and visually appealing interpolations at key contours in the image. This paper presents a method for geometry-based interpolation that smoothly fits the isophote (intensity level curve) ...

This paper describes a general system which maps from a phonological specification of an utterance’s intonation to a F0 contour. The system can accommodate a variety of feature based phonological description schemes. Speaker dependent characteristics can be modelled and an automatic method of determining these is described.