Goal‐based Caustics

We propose a novel system for designing and manufacturing surfaces that produce desired caustic images when illuminated by a light source. Our system is based on a nonnegative image decomposition using a set of possibly overlapping anisotropic Gaussian kernels. We utilize this decomposition to construct an array of continuous surface patches, each of which focuses light onto one of the Gaussian kernels, either through refraction or reflection. We show how to derive the shape of each continuous patch and arrange them by performing a discrete assignment of patches to kernels in the desired caustic. Our decomposition provides for high fidelity reconstruction of natural images using a small collection of patches. We demonstrate our approach on a wide variety of caustic images by manufacturing physical surfaces with a small number of patches.     

Time‐Lapse Photometric Stereo and Applications

This paper presents a technique to recover geometry from time‐lapse sequences of outdoor scenes. We build upon photometric stereo techniques to recover approximate shadowing, shading and normal components allowing us to alter the material and normals of the scene. Previous work in analyzing such images has faced two fundamental difficulties: 1. the illumination in outdoor images consists of time‐varying sunlight and skylight, and 2. the motion of the sun is restricted to a near‐planar arc through the sky, making surface normal recovery unstable. We develop methods to estimate the reflection component due to skylight illumination. We also show that sunlight directions are usually non‐planar, thus making surface normal recovery possible. This allows us to estimate approximate surface normals for outdoor scenes using a single day of data. We demonstrate the use of these surface normals for a number of image editing applications including reflectance, lighting, and normal editing.     

The Microstructure and Properties of Carbon Thin Films on Nanobainitic Steel

The aim of this study was to assess whether it is possible to produce a high adhesive carbon coating by applying low-temperature RFCVD and glow discharge methods on nanobainitic X37CrMoV5-1 steel with and without nitrided sublayer. For this purpose, several methods of investigation were used: observations of coating morphology by scanning electron microscopy (SEM), analysis of bonds found in coatings (Raman spectroscopy), microhardness tests and adhesion of coatings (Scratch tests). Our research has shown that low-temperature RFCVD and glow discharge processes of nanobainitic X37CrMoV5-1 steel allow producing carbon coatings that can be described as hardened carbon coatings with very high hardness—> 2000 HV 0.25 in case of RFCVD processes and > 3300 HV 0.025 for glow discharge process and low friction coefficient—near 0.12 at 5 N load. However, the adhesion of produced coatings to the steel substrate strongly depends on the appropriate selection of the process parameters and on the proper preparation of the substrate before the deposition regarding the thermal stability of nanobainite.

     

State of the Art in Methods and Representations for Fabrication‐Aware Design

Computational manufacturing technologies such as 3D printing hold the potential for creating objects with previously undreamed‐of combinations of functionality and physical properties. Human designers, however, typically cannot exploit the full geometric (and often material) complexity of which these devices are capable. This STAR examines recent systems developed by the computer graphics community in which designers specify higher‐level goals ranging from structural integrity and deformation to appearance and aesthetics, with the final detailed shape and manufacturing instructions emerging as the result of computation. It summarizes frameworks for interaction, simulation, and optimization, as well as documents the range of general objectives and domain‐specific goals that have been considered. An important unifying thread in this analysis is that different underlying geometric and physical representations are necessary for different tasks: we document over a dozen classes of representations that have been used for fabrication‐aware design in the literature. We analyze how these classes possess obvious advantages for some needs, but have also been used in creative manners to facilitate unexpected problem solutions.     

e-Infrastructure for Remote Instrumentation

Despite the tremendous growth of the capacity of computation and storage IT solutions over the last years there is still a deep mismatch between the e-Infrastructures and the e-Science applications that use instruments, sensors, and laboratory equipment. The efficiency of using instruments in a remote way, i.e. Remote Instrumentation, might be largely improved by integration with the existing distributed computing and storage infrastructures, like Grids. The paper discusses major activities towards the e-Infrastructure for Remote Instrumentation – a Grid-based Information and Communication Technology environment capable of covering all the issues arising around enabling Remote Instrumentation for e-Science applications.     

Gamut Mapping Spatially Varying Reflectance with an Improved BRDF Similarity Metric

Recent spatially varying reflectance (svBRDF) printing systems can reproduce an input document as a combination of matte, glossy and metallic inks. Due to the limited number of inks, this reproduction process incurs some distortion. In this work, we present an svBRDF gamut mapping algorithm that minimizes distortions in the angular and spatial domains. To preserve a material's perceived variation with lighting and view, we introduce an improved BRDF similarity metric that builds on both experimental results on reflectance perception and on the statistics of natural lighting environments. Our experiments show better preservation of object color and highlights, as validated quantitatively as well as through a perceptual study. As for the spatial domain, we show how to adapt traditional color gamut mapping methods to svBRDFs. Our solution takes into account the contrast between regions, achieving better preservation of textures and edges.