Kaleigh Smith

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This paper presents a quick and simple method for converting complex images and video to perceptually accurate greyscale versions. We use a two-step approach first to globally assign grey values and determine colour ordering, then second, to locally enhance the greyscale to reproduce the original contrast. Our global mapping is image independent and(More)
We present a new approach for enhancing local scene contrast by unsharp masking over arbitrary surfaces under any form of illumination. Our adaptation of a well-known 2D technique to 3D interactive scenarios is designed to aid viewers in tasks like understanding complex or detailed geometric models, medical visualization and navigation in virtual(More)
Animated mosaics are a traditional form of stop-motion animation created by arranging and rearranging small objects or tiles from frame to frame. While this animation style is uniquely compelling, the traditional process of manually placing and then moving tiles in each frame is time-consuming and labourious. Recent work has proposed algorithms for static(More)
We present a framework for detecting probes in oligonucleotide microarrays that may add significant error to measurements in hybridization experiments. Four types of so-called degenerate probe behavior are considered: secondary structure formation, self-dimerization, cross-hybridization, and dimerization. The framework uses a well-established model for(More)
We present a method for automatically depicting material appearance using pen and ink. Starting from a classical computer graphics representation – color map, normal map, illumination, etc. – we introduce an abstraction layer to bridge between this unsuited input and generic control parameters of pen-and-ink systems, such as primitive shape, size and(More)
High Dynamic Range (HDR) images capture the full range of luminance present in real world scenes, and unlike Low Dynamic Range (LDR) images, can simultaneously contain detailed information in the deepest of shadows and the brightest of light sources. For display or aesthetic purposes, it is often necessary to perform tone mapping, which creates LDR(More)
Much research has gone into developing methods for enhancing the contrast of displayed 3D scenes. In the current study, we investigated the perceptual impact of an algorithm recently proposed by Ritschel et al. that provides a general technique for enhancing the perceived contrast in synthesized scenes. Their algorithm extends traditional image-based(More)
A Hidden Markov Model (HMM) is a stochastic model that captures the statistical properties of observed real world data. A good HMM accurately models the real world source of the observed data and has the ability to simulate the source. Machine Learning techniques based on HMMs have been successfully applied to problems including speech recognition, optical(More)