We propose a new general approach to the problem of head pose estimation, based on semi-supervised low-dimensional topographic feature mapping. We show how several recently proposed nonlinear manifold learning methods can be applied in this general framework, and additionally, we present a new algorithm, IsoScale, which combines the best aspects of some of the other methods. The efficacy of the...

Multidimensional Positive Definite Advection Transport Algorithm (MPDATA) and Monotonic Upstream Schemes for Conservation Laws (MUSCL) are compared and evaluated in a biogeochemical-like tracer model. Based on the MUSCL scheme, an adapted scheme for r-coordinate models (MUSCL_VD) is presented. These schemes are first implemented in idealized experiments configured for a closed channel with and ...

Feature-based matching is commonly employed for object surface reconstruction in topographic and stereo close-range photogrammetry, but rarely in conjunction with convergent photogrammetric networks. This paper describes a new feature-based matching approach to automated 3D object reconstruction from highly convergent, multi-image networks. Geometric diversity and redundancy in the network desi...

This paper describes the efficient combination of topographical surveying techniques, photogrammetric drawings and laser scanning point cloud acquisition for constitution of a three-dimensional model of an historical site, the Abbey of Niedermunster, in its current state. This site is remarkable all over its architecture and its history, but today only ruins remain. Without works of passionate ...

The Latrobe Valley has an extensive monitoring network to measure the environmental impacts of mining and power generation operations. Regional groundwater and topographic survey data have been recorded for over 40 years. This data is used to calibrate mathematical models for the prediction of groundwater drawdown and subsidence. The concept of artificially recharging aquifers through re-inject...

The characterization of imaging methods as three-dimensional (3D) linear filtering operations provides a useful way to compare the 3D performance of optical surface topography measuring instruments, such as coherence scanning interferometry, confocal and structured light microscopy. In this way, the imaging system is defined in terms of the point spread function in the space domain or equivalen...

JAMSTEC now has been developing several underwater platforms includes underwater vehicles as the useful tool to deal with various issues relating to the deep ocean. It is required that they are equipped with observation sensors to visualize deep-seabed including topography and benthic organism. One of methods to realize that is a stereo vision system. It can provide not only the 3D shape and co...

In Parkinson’s Disease, pacemaker-like stimulation of the Subthalamic Nucleus (STN) at a frequency near 130 Hz can suppress symptoms like tremor, rigidity and bradykinesia. However, the mechanism by which this so-called Deep Brain Stimulation (DBS) exerts its effect is unknown. In order to increase our understanding of the network in which the STN is involved (the basal ganglia, among others in...

In this paper we describe radio wave propagation within mixed residential area consisting of vegetation and houses. We assume no specific knowledge of the houses and vegetation location, but only of their statistical parameters. A three-dimensional (3D) stochastic approach, which is based on the statistical description of the terrain features, houses and vegetation, and deterministic descriptio...

The paper presents the methodology of modelling tooth flanks of cylindrical gears in the CAD environment. The modelling consists in a computer simulation of gear generation. A model of tooth flanks is an envelope curve of a family of envelopes that originate from the rolling motion of a solid tool model in relation to a solid model of the cylindrical gear. The surface stereometry and topography...