Face recognition in photographic positive and negative was examined in a same/different matching task in five lighting direction conditions using untextured 3-D laser-scanned faces. The lighting directions were +60, +30, 0, -30 and -60 degrees, where negative values represent bottom lighting and positive values represent top lighting. Recognition performance was better for faces in positive tha...

Illumination variation is one of intractable yet crucial problems in face recognition and many lighting normalization approaches have been proposed in the past decades. Nevertheless, most of them preprocess all the face images in the same way thus without considering the specific lighting in each face image. In this paper, we propose a lighting aware preprocessing (LAP) method, which performs a...

Automatic lighting design aims to provide users with semi-automated approaches, and easy-to-use tools, to configure lighting for 3D scenes. We present LIGHTOPEX the first fully automatic example-based local illumination lighting design system. Utilizing a wavelet-based lighting design framework, by which image quality is modeled using a cognitively inspired objective function, this approach to ...

Preface The Code of Practice for Energy Efficiency of Lighting Installations (Lighting Code) developed by the Electrical & Mechanical Services Department (EMSD) aims to set out the minimum design requirements on energy efficiency of lighting installations. It forms a part of a set of comprehensive Building Energy Codes (BEC) that addresses energy efficiency requirements in building services ins...

i Preface The Code of Practice for Energy Efficiency of Lighting Installations (Lighting Code) developed by the Electrical & Mechanical Services Department (EMSD) aims to set out the minimum design requirements on energy efficiency of lighting installations. It forms a part of a set of comprehensive Building Energy Codes (BEC) that addresses energy efficiency requirements in building services i...

Nowadays, the use of intelligent control systems to reduce human error is one of the most popularresearch fields. Design and implementation of such controllers requires to actual knowledge of theenvironment conditions. Traffic lights as one of the inputs of intelligent control systems are significant.usually the traffic lights have the various physical structure. also, generally in image proces...

Lighting estimation from face images is an important task and has applications in many areas such as image editing, intrinsic image decomposition, and image forgery detection. We propose to train a deep Convolutional Neural Network (CNN) to regress lighting parameters from a single face image. Lacking massive ground truth lighting labels for face images in the wild, we use an existing method to...