In this paper, we describe a real-time 3D video system that is based on active stereo. Combining a NTSC standard camera/projector equipment and a suitable color code, the geometric and photometric information of a scene is robustly obtained in 30fps. Our main motivation to develop this system is to create a platform for investigating the issues that will be posed by the next generation of digital video and how it can shape up new media.

Measuring reflection properties of a 3D object involves capturing images for numerous viewing and lighting directions. We present a method to select advantageous measurement directions based on analyzing the estimation of the bi-directional reflectance distribution function (BRDF

Additive manufacturing processes have the potential to change the way we produce everyday objects. Design for additive manufacturing focuses on dealing with the characteristics and constraints of a given additive process. These constraints include both geometric and material constraints which have a major impact on the feasibility, quality and cost of the printed object. When designing for additive manufacturing, one of the desirable objectives is to reduce the amount of material while maximising the strength of the printed part. For this, the inclusion of cellular structures in the design has been an efficient way to address these constraints while supporting other application specific requirements. These structures, which are commonly inspired by shapes found in nature, provide high strength while maintaining a low mass. In this paper we propose the Adaptive Voids algorithm, an automatic approach to generate, given a volume boundary, a parametrised adaptive infill primal and/or dual cellular structure for additive manufacturing. The produced output can potentially be applied in various applications, including design and engineering, architecture, clothing and protective equipment, furniture and biomedical applications.

We describe how we have acquired geometrical models of many periodic tilings of regular polygons from two large collections of images. These models are based on a simplification of the representation recently proposed by us that uses complex numbers. We also describe an algorithm for deciding when two representations give the same tiling, which was used to identify coincidences in these collections.

After years of mass digitisation initiatives inNatural History institutions, large biodiversity collections have emerged on the web as open data. Studies on climate change and nature conservation rely heavily on this data to understand the distribution, presence/absence, changes over time, and interaction of species, and community ecology. For the institutions that hold this data, the exploration and verification of the records they produce are critical to support new modes of studying, analysing, and accessing biodiversity information. However, the process of data verification is challenging given the complex relationships between the data. This poses difficulties to the diagnosis of completeness, correctness, and good coverage of the domain. To this day, there is no clear understanding of to what extent existing visualization techniques can systematically support the task of data verification. To support research in this area, this paper reviews the visualisation solutions by focusing on a function-based visual exploration concept that can be integrated into a data verification pipeline for biodiversity datasets. Beyond reviewing the state of the art, we describe a data verification pipeline following such concept for biodiversity collections of the National Museum/Federal University of Rio de Janeiro, Brazil. The pipeline is targeted to domain expert users in supporting strategic decisions on data maintenance, as well as also having the potential to support general users in contextualising the datasets.