We present a Bayesian approach to color constancy which utilizes a nonGaussian probabilistic model of the image formation process. The parameters of this model are estimated directly from an uncalibrated image set and a small number of additional algorithmic parameters are chosen using cross validation. The algorithm is empirically shown to exhibit RMS error lower than other color constancy alg...

Recent managerial evidence and academic research has suggested that consumer decisions are influenced not only by the prices of individual items but also by a retailer's price image, which reflects a consumer's impression of the overall price level of a retailer. Despite the increasing importance of price image in marketing theory and practice, existing research has not provided a clear picture...

When a transparent surface is present between an observer and an object, an image reflected by the surface may be superimposed on the image of the observed object. We present a new approach to recover the scenes (layers) and to classify which is the reflected/transmitted one, based on imaging through a polarizing filter at two orientations. Estimates of the separate layers are obtained by weigh...

We propose a novel method for quantitative interpretation of uncalibrated optical images which is derived explicitly from an analysis of the image formation model. Parameters characterising the tissue are recovered from images acquired using filters optimised to minimise the error. Preliminary results are shown for the skin, where the technique was successfully applied to aid the diagnosis and ...

We describe the tradeoff between the performance in a visual recognition problem and the control authority that the agent can exercise on the sensing process. We focus on the problem of “visual search” of an object in an otherwise known and static scene, propose a measure of control authority, and relate it to the expected risk and its proxy (conditional entropy of the posterior density). We sh...

We apply an eye-on-hand Robot Vision system for treating the following three tasks: (a) Tracking objects for obstacle avoidance; (b) Arranging certain viewing conditions; (c) Acquiring an object recognition function. The novelty is the use of so-called compatibilities between motion features and view sequence features. Under real image formation, compatibilities are more general and appropriate...

The Shroud of Turin is a large piece of linen that shows the faint image of a man on its surface: it has been claimed to be the shroud of Jesus. Here we report evidences that colour can be produced by reactions between reducing sugars, left on the cloth by the manufacturing procedure, and amines deriving from the decomposition of a corpse. Treatment of a cloth prepared according to the ancient ...

In this section of the course we consider the basic questions of image content and re-use. In particular, we describe the physical information content of a typical image, based on the simplest camera model and the complex behavior of light in a 3D scene. After reviewing the important effects contributing to the appearance of an image, we focus on the issue of image re-use: when and how is it po...

Lei Yang 1,†, Song Zhou 2,*, Lifan Zhao 3 and Mengdao Xing 4 1 Tianjin Key Laboratory for Advanced Signal Processing, Civil Aviation University of China, Tianjin 300300, China; [email protected] or [email protected] 2 School of Electronic Information and Engineering, Nanchang University, Nanchang 330031, China 3 School of Electrical and Electronic Engineering, Nanyang Technological Univers...

We present an algorithm for subpixel material identi cation that is invariant to the illumination and atmospheric conditions. The target material spectral re ectance is the only prior information required by the algorithm. A target material subspace model is constructed from the re ectance using an image formation model and a background subspace model is estimated directly from the image. These...