Laparoscopy is a reliable imaging method to examine the liver. However, due to the limited field of view, a lot of experience is required from the surgeon to interpret the observed anatomy. Reconstruction of organ surfaces provide valuable additional information to the surgeon for a reliable diagnosis. Without an additional external tracking system the structure can be recovered from feature co...

The recent availability of low-cost RGB-D sensors and the maturity of machine vision algorithms makes shape-based parametric modeling of 3D objects in natural environments more practical than ever before. In this paper, we investigate the use of RGB-D based modeling of natural objects using RGB-D sensors and a combination of volumetric 3D reconstruction and parametric shape modeling. We apply t...

This paper reports the findings of a preliminary analysis of 15 case studies of inshore marine protected areas in the UK. It draws on the common-pool resource (CPR) literature and is premised on the thesis that building partnership capacity amongst relevant authorities and resource users provides a critical basis for overcoming collective action problems (CAPs), through the development of incen...

A prerequisite for any system that enhances drivers' awareness of road conditions and threatening situations is the correct sensing of the road geometry and the vehicle's relative pose with respect to the lane despite shadows and occlusions. In this paper we propose an approach for lane segmentation and tracking that is robust to varying shadows and occlusions. The approach involves color-based...

Abstract Avoided crossings of level pairs with opposite slopes can form potential-energy minima for the external degree freedom quantum particles, giving rise to metastable states on avoided (MSACs). Nonadiabatic decay MSACs is studied by solving two-component Schrödinger equation in diabatic and adiabatic representations. Non-perturbative lifetime values are found evaluating wave function flux...

Sampling-based algorithms in the mould of RANSAC have emerged as one of the most successful methods for the fully automated registration of point clouds acquired by terrestrial laser scanning (TLS). Sampling methods in conjunction with 3D keypoint extraction, have shown promising results, e.g. the recent K-4PCS (Theiler et al., 2013). However, they still exhibit certain improbable failures, and...

In this paper, we propose a robust technique using genetic algorithm for detecting inliers and estimating accurate motion parameters from putative correspondences containing any percentage of outliers. The proposed technique aims to increase computational efficiency and modelling accuracy in comparison with the state-of-the-art via the following contributions: i) guided generation of initial po...