A. G. Jones

Learn More
Existing Shape from Shading algorithms are not robust enough to work reliably with real images. We present a new paradigm for Shape from Shading based upon & scale space surface representation. Using this representation, the Shape from Shading problem becomes one of forming a surface from gaussian basis functions in such a way that the shading in the(More)
Ill-posed inverse problems are widely encountered in computer vision. examples include shape from shading, surface reconstruction from sparse data and optic flow. Unique solutions to these problems are conventionally found by minimizing an objective function regularized by a smoothness constraint. However, objective functions of this form often contain many(More)
Shape-from-shading algorithms that use a single image often find incorrect solutions because of ambiguity in the image shading. We describe a robust shape-from-shading algorithm using scale space tracking that can resolve most of these ambiguities by using two images taken from slightly different positions. Further improvements are obtained by combining(More)
AIMS To determine the prevalence and clinical characteristics of absolute insulin deficiency in long-standing Type 2 diabetes, using a strategy based on home urinary C-peptide creatinine ratio measurement. METHODS We assessed the urinary C-peptide creatinine ratios, from urine samples taken at home 2 h after the largest meal of the day, in 191(More)
  • 1