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- ArticleJune 2013
Analytic Bilinear Appearance Subspace Construction for Modeling Image Irradiance under Natural Illumination and Non-Lambertian Reflectance
CVPR '13: Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern RecognitionJune 2013, Pages 1446–1451https://doi.org/10.1109/CVPR.2013.190Conventional subspace construction approaches suffer from the need of "large-enough" image ensemble rendering numerical methods intractable. In this paper, we propose an analytic formulation for low-dimensional subspace construction in which shading ...
- ArticleJune 2012
Intelligent Illumination Model-Based Lighting Control
ICDCSW '12: Proceedings of the 2012 32nd International Conference on Distributed Computing Systems WorkshopsJune 2012, Pages 245–249https://doi.org/10.1109/ICDCSW.2012.75Lighting in commercial office environments is a major factor in workplace comfort, productivity, and stress. Modern work environments strive to improve these conditions by better selection of luminaires (fixtures), wall, floor, and furniture colour and ...
- ArticleMay 2011
Modeling Lambertian Surfaces Under Unknown Distant Illumination Using Hemispherical Harmonics
CRV '11: Proceedings of the 2011 Canadian Conference on Computer and Robot VisionMay 2011, Pages 293–300A surface reflectance function represents the process of turning irradiance signals into outgoing radiance. Irradiance signals can be represented using low-order basis functions due to their low-frequency nature. Spherical harmonics (SH) have been used ...
- ArticleMay 2011
Illumination-invariant Statistical Shape Recovery with Contiguous Occlusion
CRV '11: Proceedings of the 2011 Canadian Conference on Computer and Robot VisionMay 2011, Pages 301–308https://doi.org/10.1109/CRV.2011.47Spherical harmonics (SH) has been an attractive fit for illumination modeling in shape recovery after the conclusion drawn by Basri and Jacobs [1]. The main challenge is the computation of the spherical harmonics projection (SHP) images to be robust ...
- research-articleJuly 2009
Modeling daytime and night illumination
SCSC '09: Proceedings of the 2009 Summer Computer Simulation ConferenceJuly 2009, Pages 33–39Modeling illumination of outdoor objects by natural light sources - the Sun, the Moon and the stars - is a very difficult problem due to highly complex physics of light rays and the Earth's atmosphere. Although there are many studies in the literature ...
- ArticleMarch 2007
Illumination compensation algorithm using eigenspaces transformation for facial images
MIRAGE'07: Proceedings of the 3rd international conference on Computer vision/computer graphics collaboration techniquesMarch 2007, Pages 192–199This paper presents a new low-dimensional face representation using the proposed eigenspaces transformation. The proposed algorithm is based on face images which is acquired with c illumination conditions. We define face images as a non-illumination ...
- articleNovember 2003
Illumination ratio image: synthesizing and recognition with varying illuminations
Pattern Recognition Letters (PTRL), Volume 24, Issue 15November 2003, Pages 2703–2710https://doi.org/10.1016/S0167-8655(03)00113-2Illumination ratio images are presented in the paper to illuminate the faces. Our rendering method can simulate the distribution of the images with varying illuminations and generate new training images for face recognition with single frontal view. We ...
- articleSeptember 2002
Multi-View Scene Capture by Surfel Sampling: From Video Streams to Non-Rigid 3D Motion, Shape and Reflectance
International Journal of Computer Vision (IJCV), Volume 49, Issue 2-3September-October 2002, Pages 175–214https://doi.org/10.1023/A:1020145606604In this paper we study the problem of recovering the 3D shape, reflectance, and non-rigid motion properties of a dynamic 3D scene. Because these properties are completely unknown and because the scene's shape and motion may be non-smooth, our approach ...
- articleOctober 1992
Modeling pigmented materials for realistic image synthesis
ACM Transactions on Graphics (TOG), Volume 11, Issue 4Pages 305–335https://doi.org/10.1145/146443.146452This article discusses and applies the Kubelka-Munk theory of pigment mixing to computer graphics in order to facilitate improved image synthesis. The theories of additive and subtractive color mixing are discussed and are shown to be insufficient for ...