This paper addresses face recognition under varying light via 3D reconstruction based on the techniques of shape from shading (SFS). First, we improve the geometric-based SFS by introducing the integrability constraint as one of the regular terms. This operation preserves the local curvedness of the recovered surface. Second, we propose a novel method to investigate human face recognition in th...

A growing number of companies are extracting value from the digital data produced by our modern society using Machine learning (ML) techniques. Most of these companies rely today on centralized or tightly coupled ML systems hosted in data centers or in the cloud [5, 6]. This is problematic as this concentration poses strong risks to the privacy of users, and limits the scope of ML applications ...

optimization of maintenance resources to maximize the system availability is a major concern in different manufacturing systems. therefore, a lot of effort is put to construct optimization models to reach the maximum availability level and to reduce the costs of lack of availability. however, despite these efforts, data uncertainty in the real world problems was neglected in proposed models whi...

This paper addresses the problem of rejecting interference due to secondary specular reflections, cross-talk and other mechanisms in an active light stripe scanner for robotic applications. Conventional scanning methods control the environment to ensure the brightness of the stripe exceeds that of all other features. However, for a robot operating in an uncontrolled environment, valid measureme...

We present a conditional experiment involving a parametric amplifier and an avalanche photodetector to generate highly nonclassical states of the radiation field. The nonclassicality is robust against amplifier gain, detector efficiency and dark counts. At the output all the generalized Wigner functions have negative values, and this is exploited in order to reveal the nonclassicality through q...

Introducing robots to provide flexible logistics in a smart factory and cohabitation of robot workers and human operators will require robots to recognize and interpret the same cues in the environment as humans do. In this paper, we describe a novel method to detect machine light signal towers as one such cue that are frequently seen on production machines. It uses color information to determi...

We consider the design of tapers for coupling power between uniform and slowlight periodic waveguides. We describe new optimization methods for designing robust tapers, which not only perform well under nominal conditions, but also over a given set of parameter variations. When the set of parameter variations models the inevitable variations typical in the manufacture or operation of the couple...

Combating the effects of disorder on light transport in micro- and nano-integrated photonic devices is of major importance from both fundamental and applied viewpoints. In ordinary waveguides, imperfections and disorder cause unwanted back-reflections, which hinder large-scale optical integration. Topological photonic structures, a new class of optical systems inspired by quantum Hall effect an...

We report on the development of a general purpose text categorization system designed to automatically assign biomedical categories to any input text. Unlike usual automatic text categorization systems, which rely on data-intensive models extracted from large sets of training data, our categorizer is largely dataindependent and so it can be used when training data are not available provided tha...

The main purpose of this paper is to trace epistemological roots of conventional and Islamic finance. Based on an extensive literature review, this paper aims to highlight, explain, and discuss an ideal conventional and Islamic financial system. The ideal conventional financial system is discussed in light of various writings by Smith and Arrow, based on Arrow-Debreu model. On the other ...