نتایج جستجو برای: lighting characteristics

تعداد نتایج: 676385  

2010
Hu Han Shiguang Shan Laiyun Qing Xilin Chen Wen Gao

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...

Journal: :IEEE Trans. Vis. Comput. Graph. 2003
Joe Michael Kniss Simon Premoze Charles D. Hansen Peter Shirley Allen McPherson

Direct volume rendering is a commonly used technique in visualization applications. Many of these applications require sophisticated shading models to capture subtle lighting effects and characteristics of volumetric data and materials. For many volumes, homogeneous regions pose problems for typical gradient based surface shading. Many common objects and natural phenomena exhibit visual quality...

Journal: :Vision research 2017
Frances Rucker Mark Henriksen Tiffany Yanase Christopher Taylor

A previous experiment showed that blue light (as a component of white light) protected against low temporal frequency dependent eye growth. This experiment investigated the role of temporal contrast. White leghorn chicks were exposed to white (with blue) or yellow (without blue) LED lighting modulated at either low (0.2Hz) or high (10Hz) temporal frequencies. Four cone contrast conditions were ...

2007
Hai Nam Ha Patrick Olivier

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 ...

Journal: :Computer Graphics Forum 2022

Product lighting design is a laborious and time-consuming task. With product illustrations being increasingly rendered, the challenge transferred to virtual realm. Our approach targets in context of scene with fixed objects, materials, camera parameters, illuminated by environmental lighting. solution offers control over depiction material characteristics shape details optimizing illuminating e...

Journal: :IEEE Trans. Pattern Anal. Mach. Intell. 1993
Berthold K. P. Horn Richard Szeliski Alan L. Yuille

Abmact-In this correspondence, we show that images that could not have arisen from shading on a smooth surface with uniform reflecting properties and lighting exist. Much work has been done on recovering surface shape from images, and there has been some attention paid to the question of uniqueness. It has been shown, for example, that singular points curtail ambiguity. However, little has been...

2013
Georgiy Bobashev James Bittle Lynn Davis Mike Lamvik Karmann Mills Sarah Shepherd Eric Solano

2007

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...

2007

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...

Journal: :CoRR 2017
Hao Zhou Jin Sun Yaser Yacoob David W. Jacobs

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...

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