Improved methods of estimating shape from shading using the light source coordinate system
Artificial Intelligence
Volume/surface octrees for the representation of three-dimensional objects
Computer Vision, Graphics, and Image Processing
Marching cubes: A high resolution 3D surface construction algorithm
SIGGRAPH '87 Proceedings of the 14th annual conference on Computer graphics and interactive techniques
Estimation of Illuminant Direction, Albedo, and Shape from Shading
IEEE Transactions on Pattern Analysis and Machine Intelligence
A comprehensive physical model for light reflection
Proceedings of the 18th annual conference on Computer graphics and interactive techniques
Measuring and modeling anisotropic reflection
SIGGRAPH '92 Proceedings of the 19th annual conference on Computer graphics and interactive techniques
Rapid octree construction from image sequences
CVGIP: Image Understanding
Inverting an illumination model from range and intensity maps
CVGIP: Image Understanding
Generalization of Lambert's reflectance model
SIGGRAPH '94 Proceedings of the 21st annual conference on Computer graphics and interactive techniques
Default shape theory: with application to the computation of the direction of the light source
CVGIP: Image Understanding
SIGGRAPH '96 Proceedings of the 23rd annual conference on Computer graphics and interactive techniques
Reflectance analysis for 3D computer graphics model generation
Graphical Models and Image Processing
Non-linear approximation of reflectance functions
Proceedings of the 24th annual conference on Computer graphics and interactive techniques
Object shape and reflectance modeling from observation
Proceedings of the 24th annual conference on Computer graphics and interactive techniques
Proceedings of the 25th annual conference on Computer graphics and interactive techniques
Inverse global illumination: recovering reflectance models of real scenes from photographs
Proceedings of the 26th annual conference on Computer graphics and interactive techniques
The digital Michelangelo project: 3D scanning of large statues
Proceedings of the 27th annual conference on Computer graphics and interactive techniques
Acquiring the reflectance field of a human face
Proceedings of the 27th annual conference on Computer graphics and interactive techniques
A Reflectance Model for Computer Graphics
ACM Transactions on Graphics (TOG)
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 Simple Strategy for Calibrating the Geometry of Light Sources
IEEE Transactions on Pattern Analysis and Machine Intelligence
Complete Dense Stereovision Using Level Set Methods
ECCV '98 Proceedings of the 5th European Conference on Computer Vision-Volume I - Volume I
Estimation of Illuminant Direction and Intensity of Multiple Light Sources
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part IV
Photorealistic Scene Reconstruction by Voxel Coloring
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Shape and Source from Shading
A Theory of Shape by Space Carving
A Theory of Shape by Space Carving
Animatable facial reflectance fields
EGSR'04 Proceedings of the Fifteenth Eurographics conference on Rendering Techniques
A survey of methods for volumetric scene reconstruction from photographs
VG'01 Proceedings of the 2001 Eurographics conference on Volume Graphics
Recovering surface reflectance and multiple light locations and intensities from image data
Pattern Recognition Letters
Reconstruction of shape and reflectance properties based on visual hull
Proceedings of the 2009 Computer Graphics International Conference
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In this paper, we present a complete framework for recovering an object shape, estimating its reflectance properties and light sources from a set of images. The whole process is performed automatically. We use the shape from silhouette approach proposed by R. Szeliski (1993) combined with image pixels for reconstructing a triangular mesh according to the marching cubes algorithm. A classification process identifies regions of the object having the same appearance. For each region, a single point or directional light source is detected. Therefore, we use specular lobes, lambertian regions of the surface or specular highlights seen on images. An identification method jointly (i) decides what light sources are actually significant and (ii) estimates diffuse and specular coefficients for a surface represented by the modified Phong model (Lewis, 1994). In order to validate our algorithm efficiency, we present a case study with various objects, light sources and surface properties. As shown in the results, our system proves accurate even for real objects images obtained with an inexpensive acquisition system.