We illustrate how to consider a network of cameras as a single generalized camera in a framework proposed by Nayar [13]. We derive the discrete structure from motion equations for generalized cameras, and illustrate the corollaries to the epi-polar geometry. This formal mechanism allows one to use a network of cameras as if they were a single imaging device, even when they do not share a common...

A number of methods have been proposed in the literature for estimating scene-structure and ego-motion from a sequence of images using dynamical models. Despite the fact that all methods may be derived from a “natural” dynamical model within a unified framework, from an engineering perspective there are a number of trade-offs that lead to different strategies depending upon the applications and...

Non-rigid Structure from Motion (NRSfM) is a classical computer vision problem. And the main methods used to solve it are in general based on shape models or trajectory models. This paper will provide an overview over kinds of solutions proposed in these researches. It not only gives out the theoretical insights proposed by researchers in recent years, but also discusses them with their pros an...

The task of community detection in a graph formalizes the intuitive task of grouping together subsets of vertices such that vertices within clusters are connected tighter than those in disparate clusters. This paper approaches community detection in graphs by constructing Markov random walks on the graphs. The mixing properties of the random walk are then used to identify communities. We use co...

Most current planners assume complete domain models and focus on generating correct plans. Unfortunately, domain modeling is a laborious and error-prone task, thus real world agents have to plan with incomplete domain models. While domain experts cannot guarantee completeness, often they are able to circumscribe the incompleteness of the model by providing annotations as to which parts of the d...

In this paper we present the framework of our reconstruction and visualization system for planar cross sectional data. Threedimensional reconstructions are used to analyze the patterns and functions of dying (apoptotic) and dividing (mitotic) cells in the early developing nervous system. Reconstructions are built-up from high resolution scanned, routinely stained histological serial sections (s...

Reliable forecasts of the timing of sea ice advance are needed in order to reduce risks associated with operating in the Arctic as well as planning of human and environmental emergencies. This study investigates the use of a simple statistical model relating the timing of ice retreat to the timing of ice advance, taking advantage of the inherent predictive power supplied by the seasonal ice-alb...

Our participation in TREC 2004 aims to extend and improve the use of the DFR (Divergence From Randomness) models with Query Expansion (QE) for the robust track. We experiment with a new parameter-free version of Rocchio’s Query Expansion and use the information theory based function, InfoDFR to predict the AP (Average Precision) of queries. We also study how the use of an external collection af...

The BiographyNet project aims at inspiring historians when setting up new research projects. The goal is to create a semantic knowledge base by extracting links between people, historic events, places and time periods from a variety of Dutch biographical dictionaries. A demonstrator will be developed providing visualization and browsing techniques for the knowledge base. In order to establish i...

The main purpose of the paper is to present a statistical model-based iterative approach to the problem of image reconstruction from projections. This originally formulated reconstruction algorithm is based on a maximum likelihood method with an objective adjusted to the probability distribution of measured signals obtained from an x-ray computed tomograph with parallel beam geometry. Various f...