The color and distribution of illuminants can significantly alter the appearance of a scene. The goal of color constancy (CC) is to remove the color bias introduced by the illuminants. Most existing CC algorithms assume a uniformly illuminated scene. However, more often than not, this assumption is an insufficient approximation of realworld illumination conditions (multiple light sources, shadows, interreflections, etc.). Thus, illumination should be locally determined, taking under consideration that multiple illuminants may be present. In this paper we investigate the suitability of adapting 5 state-of-the-art color constancy methods so that they can be used for local illuminant estimation. Given an arbitrary image, we segment it into superpixels of approximately similar color. Each of the methods is applied independently on every superpixel. For improved accuracy, these independent estimates are combined into a single illuminant-color value per superpixel. We evaluated different fusion methodologies. Our experiments indicate that the best performance is obtained by fusion strategies that combine the outputs of the estimators using regression.

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This Working Paper is issued under the auspices of the Institute for Monetary and Financial Stability (IMFS). Any opinions expressed here are those of the author(s) and not those of the IMFS. Research disseminated by the IMFS may include views on policy, but the IMFS itself takes no institutional policy positions. The Institute for Monetary and Financial Stability aims at raising public awareness of the importance of monetary and financial stability. Its main objective is the implementation of the "Project Monetary and Financial Stability" that is supported by the Foundation of Monetary and Financial Stability. The foundation was established on January 1, 2002 by federal law. Its endowment funds come from the sale of 1 DM gold coins in 2001 that were issued at the occasion of the euro cash introduction in memory of the D-Mark. The IMFS Working Papers often represent preliminary or incomplete work, circulated to encourage discussion and comment. Citation and use of such a paper should take account of its provisional character.

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This paper analyses the bail-in tool under the BRRD and predicts that it will not reach its policy objective. To make this argument, this paper first describes the policy rationale that calls for mandatory private sector involvement (PSI). From this analysis the key features for an effective bail-in tool can be derived. These insights serve as the background to make the case that the European resolution framework is likely ineffective in establishing adequate market discipline through risk-reflecting prices for bank capital. The main reason for this lies in the avoidable embeddedness of the BRRD's bail-in tool in the much broader resolution process which entails ample discretion of the authorities also in forcing private sector involvement. Finally, this paper synthesized the prior analysis by putting forward an alternative regulatory approach that seeks to disentangle private sector involvement as a precondition for effective bank-resolution as much as possible from the resolution process as such.

This article explores the specific effects of work-related family policies on poverty risks among various educational groups. Based on European Union Statistics on Income and Living Conditions (EU-SILC) data (2005–2010) and policy indicators drawn from the Multilinks project, we estimated a series of multilevel models for approximately 123,000 households with children below the age of 6 years in 25 European countries. The results emphasize clear education-specific differences and thus are essential for the ongoing social-policy discourse. Interestingly, with respect to infant childcare, the strongest poverty-reducing effect was identified among women with mid-level education and their families, followed by low-educated women. In contrast, full-time care for children aged 3–5 years reduced the poverty risk only among women with mid- and high-level education and their families, whereas a medium length of well-paid parental leave was observed to be of particular importance to low-qualified mothers.

Context Patients with classic congenital adrenal hyperplasia (CAH) often fail to achieve their full growth potential. Adrenarche may accelerate bone maturation and thereby result in decreased growth in CAH. Objective To analyze the impact of growth during adrenarche on final height of adequately treated classic CAH patients. Design Retrospective, multi-center study. Setting Four academic pediatric endocrinology centers. Participants Fourty-one patients with classical CAH, born between 1990 and 2012. Main outcome measures We assessed skeletal maturation (bone age), growth velocity and (projected) adult height outcomes, and analyzed potential influencing factors, such as sex, genotype, and glucocorticoid therapy. Results Patients with classic CAH were shorter than peers (-0.4SDS±0.8SD) and their parents (corrected final height -0.6SDS±1.0SD). Analysis of growth during adrenarche revealed two different growth patterns: patients with accelerating bone age (49%), and patients with non-accelerating bone age compared to chronological age (BA-CA). Patients with accelerating BA-CA were taller than the normal population during adrenarche years (p=0.001) and were predicted to achieve a lower adult height SDS (-0.9SDS, 95%CI -1.3;-0.5) than non-accelerating patients when assessed during adrenarche (0.2SDS, 95%CI -0.3;0.8). Final adult height was similarly reduced in both accelerating and non-accelerating BA-CA groups (-0.4SDS, 95%CI -0.9;0.1 vs -0.3SDS, 95%CI -0.8;0.1). Conclusions Patients with and without significant bone age advancement, and thus differing height prediction during adrenarche, showed similar (predicted) final height when reassessed during pubertal years. Bone age alone should not be used during adrenarche as clinical marker for metabolic control in CAH treatment.

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