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Dive into the research topics where Neil A. Dodgson is active.

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Featured researches published by Neil A. Dodgson.


electronic imaging | 2004

Variation and extrema of human interpupillary distance

Neil A. Dodgson

Mean interpupillary distance (IPD) is an important and oft-quoted measure in stereoscopic work. However, there is startlingly little agreement on what it should be. Mean IPD has been quoted in the stereoscopic literature as being anything from 58 mm to 70 mm. It is known to vary with respect to age, gender and race. Furthermore, the stereoscopic industry requires information on not just mean IPD, but also its variance and its extrema, because our products need to be able to cope with all possible users, including those with the smallest and largest IPDs. This paper brings together those statistics on IPD which are available. The key results are that mean adult IPD is around 63 mm, the vast majority of adults have IPDs in the range 50-75 mm, the wider range of 45-80 mm is likely to include (almost) all adults, and the minimum IPD for children (down to five years old) is around 40 mm.


european conference on computer vision | 2010

Real-time spatiotemporal stereo matching using the dual-cross-bilateral grid

Christian Richardt; Douglas A. H. Orr; Ian Davies; Antonio Criminisi; Neil A. Dodgson

We introduce a real-time stereo matching technique based on a reformulation of Yoon and Kweons adaptive support weights algorithm [1]. Our implementation uses the bilateral grid to achieve a speedup of 200× compared to a straightforward full-kernel GPU implementation, making it the fastest technique on the Middlebury website. We introduce a colour component into our greyscale approach to recover precision and increase discriminability. Using our implementation, we speed up spatialdepth superresolution 100×. We further present a spatiotemporal stereo matching approach based on our technique that incorporates temporal evidence in real time (>14 fps). Our technique visibly reduces flickering and outperforms per-frame approaches in the presence of image noise. We have created five synthetic stereo videos, with ground truth disparity maps, to quantitatively evaluate depth estimation from stereo video. Source code and datasets are available on our project website.


Archive | 2005

Advances in Multiresolution for Geometric Modelling

Neil A. Dodgson; Michael S. Floater; Malcolm A. Sabin

Compression.- Recent Advances in Compression of 3D Meshes.- Shape Compression using Spherical Geometry Images.- Data Structures.- A Survey on Data Structures for Level-of-Detail Models.- An Algorithm for Decomposing Multi-dimensional Non-manifold Objects into Nearly Manifold Components.- Encoding Level-of-Detail Tetrahedral Meshes.- Multi-Scale Geographic Maps.- Modelling.- Constrained Multiresolution Geometric Modelling.- Multi-scale and Adaptive CS-RBFs for Shape Reconstruction from Clouds of Points.- Parameterization.- Surface Parameterization: a Tutorial and Survey.- Variations on Angle Based Flattening.- Subdivision.- Recent Progress in Subdivision: a Survey.- Optimising 3D Triangulations: Improving the Initial Triangulation for the Butterfly Subdivision Scheme.- Simple Computation of the Eigencomponents of a Subdivision Matrix in the Fourier Domain.- Subdivision as a Sequence of Sampled Cp Surfaces.- Reverse Subdivision.-


IEEE Transactions on Broadcasting | 2011

Three-Dimensional Displays: A Review and Applications Analysis

Nicolas S. Holliman; Neil A. Dodgson; Gregg E. Favalora; Lachlan Pockett


IEEE Transactions on Image Processing | 1997

Quadratic interpolation for image resampling

Neil A. Dodgson

\sqrt 5


Pattern Recognition | 2007

Decolorize: Fast, contrast enhancing, color to grayscale conversion

Mark Grundland; Neil A. Dodgson


Computer Aided Geometric Design | 2002

An interpolating 4-point C 2 ternary stationary subdivision scheme

Mohamed F. Hassan; I.P. Ivrissimitzis; Neil A. Dodgson; Malcolm A. Sabin

-subdivision.- Geometrically Controlled 4-Point Interpolatory Schemes.- Thinning.- Adaptive Thinning for Terrain Modelling and Image Compression.- Simplification of Topologically Complex Assemblies.- Topology Preserving Thinning of Vector Fields on Triangular Meshes.- Wavelets.- Periodic and Spline Multiresolution Analysis and the Lifting Scheme.- Nonstationary Sibling Wavelet Frames on Bounded Intervals: the Duality Relation.- Haar Wavelets on Spherical Triangulations.


eye tracking research & application | 2012

Robust real-time pupil tracking in highly off-axis images

Lech Świrski; Andreas Bulling; Neil A. Dodgson

S. Benton published a definitive taxonomy of the first one hundred and seventy years of 3D displays covering the field up to the year 2000. In this article we review how display technologies have advanced in the last ten years and update Bentons taxonomy to include the latest additions. Our aim is to produce a display taxonomy suitable for content producers highlighting which displays have common requirements for image delivery. We also analyze key technical characteristics of 3D displays and use these characteristics to suggest the future applications for each category of display.


Computer Graphics Forum | 2012

Coherent Spatiotemporal Filtering, Upsampling and Rendering of RGBZ Videos

Christian Richardt; Carsten Stoll; Neil A. Dodgson; Hans-Peter Seidel; Christian Theobalt

Nearest-neighbor, linear, and various cubic interpolation functions are frequently used in image resampling. Quadratic functions have been disregarded largely because they have been thought to introduce phase distortions. This is shown not to be the case, and a family of quadratic functions is derived. The interpolating member of this family has visual quality close to that of the Catmull-Rom cubic, yet requires only 60% of the computation time.


Applied Optics | 1996

Analysis of the viewing zone of the Cambridge autostereoscopic display

Neil A. Dodgson

We present a new contrast enhancing color to grayscale conversion algorithm which works in real-time. It incorporates novel techniques for image sampling and dimensionality reduction, sampling color differences by Gaussian pairing and analyzing color differences by predominant component analysis. In addition to its speed and simplicity, the algorithm has the advantages of continuous mapping, global consistency, and grayscale preservation, as well as predictable luminance, saturation, and hue ordering properties.

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Jiri Kosinka

University of Cambridge

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