Computer Vision, Graphics, and Image Processing
Surface Reflection: Physical and Geometrical Perspectives
IEEE Transactions on Pattern Analysis and Machine Intelligence
Models of light reflection for computer synthesized pictures
SIGGRAPH '77 Proceedings of the 4th annual conference on Computer graphics and interactive techniques
A reflectance model for computer graphics
SIGGRAPH '81 Proceedings of the 8th annual conference on Computer graphics and interactive techniques
Extracting the Shape and Roughness of Specular Lobe Objects Using Four Light Photometric Stereo
IEEE Transactions on Pattern Analysis and Machine Intelligence
Object shape and reflectance modeling from observation
Proceedings of the 24th annual conference on Computer graphics and interactive techniques
Image-based rendering of diffuse, specular and glossy surfaces from a single image
Proceedings of the 28th annual conference on Computer graphics and interactive techniques
A signal-processing framework for inverse rendering
Proceedings of the 28th annual conference on Computer graphics and interactive techniques
The Radiometry of Multiple Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Object shape and reflectance modeling from observation
Modelling from reality
The great Buddha project: modeling cultural heritage through observation
Modelling from reality
Recovery of Reflectances and Varying Illuminants from Multiple Views
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part III
Recovering 3-D shape and reflectance from a small number of photographs
EGRW '03 Proceedings of the 14th Eurographics workshop on Rendering
Displaying Shiny Objects under Virtual Lighting
VSMM '01 Proceedings of the Seventh International Conference on Virtual Systems and Multimedia (VSMM'01)
PG '03 Proceedings of the 11th Pacific Conference on Computer Graphics and Applications
A signal-processing framework for reflection
ACM Transactions on Graphics (TOG)
IEEE Transactions on Pattern Analysis and Machine Intelligence
Mixture of Spherical Distributions for Single-View Relighting
IEEE Transactions on Pattern Analysis and Machine Intelligence
Building Illumination Coherent 3D Models of Large-Scale Outdoor Scenes
International Journal of Computer Vision
Recovering surface reflectance and multiple light locations and intensities from image data
Pattern Recognition Letters
Using specularities in comparing 3D models and 2D images
Computer Vision and Image Understanding
Recovering Light Directions and Camera Poses from a Single Sphere
ECCV '08 Proceedings of the 10th European Conference on Computer Vision: Part I
Accurately estimating reflectance parameters for color and gloss reproduction
Computer Vision and Image Understanding
Correction of color information of a 3D model using a range intensity image
Computer Vision and Image Understanding
International Journal of Computer Vision
The digital michelangelo project
3DIM'99 Proceedings of the 2nd international conference on 3-D digital imaging and modeling
Sketch-based warping of RGBN images
Graphical Models
Variational shape and reflectance estimation under changing light and viewpoints
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part I
Classification of photometric factors based on photometric linearization
ACCV'06 Proceedings of the 7th Asian conference on Computer Vision - Volume Part II
Image-based BRDF measurement including human skin
EGWR'99 Proceedings of the 10th Eurographics conference on Rendering
Camera and light calibration from reflections on a sphere
Computer Vision and Image Understanding
An optimisation approach to the recovery of reflection parameters from a single hyperspectral image
Computer Vision and Image Understanding
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The authors discuss a method of recovering reflectance properties of a surface from a range image given by a range finder and a brightness image given by a standard TV camera. The Torrance-Sparrow model is used for the reflectance model. The model consists of the Lambertian and specular components: its reflectance properties consist of the relative strength between the Lambertian and specular components and specular sharpness as well as light source direction. An iterative least square fitting method is used to obtain these parameters based on the range and brightness images. An input image is segmented into four different parts using the parameters: Lambertian reflection, specular reflection, interreflection, and shadow part. The authors also reconstruct ideal images that consist of only Lambertian or specular reflection.