This paper reports on an extension to Geographic Information Systems (GIS) that can intelligently analyse and record qualitative information of the surrounding area when adding a feature to a map. This recorded qualitative spatial information can be utilised to perform queries such as path generation using landmarks. Although, there is a lot of research on qualitative spatial reasoning, none of...

To compare and integrate brain data, data from multiple subjects are typically mapped into a canonical space. One method to do this is to conformally map cortical surfaces to the sphere. It is well known that any genus zero Riemann surface can be mapped conformally to a sphere. Since the cortical surface of the brain is a genus zero surface, conformal mapping offers a convenient method to param...

In this paper we define a multi-scale distance between shapes based on geodesics in the shape space. The proposed distance, robust to outliers, uses shape matching to compare shapes locally. The multi-scale analysis is introduced in order to address local and global variabilities. The resulting similarity measure is invariant to translation, rotation and scaling independently of constraints or ...

This paper attacks the problem of automatic calibration of a mobile robot in an indoor environment. The problem is that the robot must locate itself accurately with respect to given landmarks, before it starts to navigate. In this paper, we examine the problem in a special case, where the ground plane is assumed to be horizontal and there are two locally parallel sidelines available. This assum...

BACKGROUND Although ultrasonography is recommended in internal jugular vein (IJV) catheterization, the landmark-guided technique should still be considered. The central landmark using the two heads of the sternocleidomastoid muscle is widely used, but it is inaccurate for IJV access. As an alternative landmark, we investigated the accuracy of the new landmark determined by inspection of the res...

We explore the applicability of deep convolutional neural networks (CNNs) for multiple landmark localization in medical image data. Exploiting the idea of regressing heatmaps for individual landmark locations, we investigate several fully convolutional 2D and 3D CNN architectures by training them in an end-to-end manner. We further propose a novel SpatialConfiguration-Net architecture that effe...

Visual appearance of landmark photos changes significantly in different weather conditions. In this work, we obtain weather information from a weather forecast website based on a landmark photo’s geotag and taken time information. With weather information, we adaptively adjust weightings for combining distances obtained based on different features and thus propose a weather-adaptive distance me...

We introduce a new dual-landmark heuristic for the A* algorithm that references a data structure of size θ(|L| + |V |), where L represents a set of strategically chosen landmark vertices and V the set of vertices in the graph. This heuristic’s benefits are permitted by a new approach for computing lower bounds based on generalized polygon inequalities, in which each landmark stores the distance...