This paper presents a novel approach to finding a priori interesting regions in mammograms. We propose a topographic representation called the iso-level contour map consisting of iso-level contours at multiple intensity levels, in order to delineate those regions of interest (ROI’s) in mammograms which appear to be salient. Such salient areas form a dense quasi-concentric pattern of iso-level c...

One fundamental problem in mobile robotics research is Simultaneous Localization and Mapping (SLAM): A mobile robot has to localize itself in an unknown environment, and at the same time generate a map of the surrounding area. One fundamental part of SLAM algorithms is loop closing: The robot detects whether it has reached an area that has been visited before, and uses this information to impro...

The validity of using conventional saliency map models to predict human attention was investigated for video captured with an egocentric camera. Since conventional visual saliency models do not take into account visual motion caused by camera motion, high visual saliency may be erroneously assigned to regions that are not actually visually salient. To evaluate the validity of using saliency map...

Depth information has been shown to affect identification of visually salient regions in images. In this paper, we investigate the role of depth in saliency detection in the presence of (i) competing saliencies due to appearance, (ii) depth-induced blur and (iii) centre-bias. Having established through experiments that depth continues to be a significant contributor to saliency in the presence ...

TEM image is rapidly gaining prominence in various fields. Since high resolution TEM image captures huge amount of information, it is important to understand image segmentation techniques on it. The goal of image segmentation is to cluster pixels into salient image regions, i.e., regions corresponding to individual surfaces, objects, or natural parts of objects. To have region based image retri...

We propose a novel method using a perfectly local facial representation based on ICA. We named our method “LS-ICA method”. In the LS-ICA method, basis images are made from their corresponding ICA basis images simply by removing non-salient regions. The LS-ICA basis images display perfectly local characteristics because they contain only locally salient feature regions. This enables us to effect...

We present a novel approach to the coding and representation of shapes using intersections. Our algorithm combines contour and region based approaches. After exploring hitherto unvisited regions of the shape, we find salient features on the boundary in that region. Our method has a number of attractive features. First, it is efficient to compute, since only small yet salient regions are retriev...

Verbal communication plays an important role in our economy. Laryngeal high-speed videos have emerged as a state of the art method to investigate vocal fold vibrations in the context of voice disorders affecting verbal communication. Segmentation of the glottis from these videos is required to analyze vocal fold vibrations. The vast amount of data produced makes manual segmentation impossible i...

In this paper, we discuss the reproducibility of our work presented at EuroVis 2014 [LKEP14], which describes an illustrative rendering method tailored to molecular surfaces. We distinguish between the reproducibility of the data sets that were used for figures and performance analysis and the reproducibility in the sense of re-implementing the method. For the latter, we focus on each step of t...

The vector-space retrieval model and Latent Semantic Indexing approaches to retrieval have been used heavily in the field of text information retrieval over the past years. The use of these approaches in image retrieval, however, has been somewhat limited. In this paper, we present methods for using these techniques in combination with an invariant image representation based on local descriptor...