Structured Highlight Inspection of Specular Surfaces
IEEE Transactions on Pattern Analysis and Machine Intelligence
The information available to a moving observer from specularities
Image and Vision Computing - 4th Alvey Vision Meeting
Shape from shading
Extracting shape and reflectance of hybrid surfaces by photometric sampling
Proceedings of a workshop on Image understanding workshop
Surface Reflection: Physical and Geometrical Perspectives
IEEE Transactions on Pattern Analysis and Machine Intelligence
Constraining Object Features Using a Polarization Reflectance Model
IEEE Transactions on Pattern Analysis and Machine Intelligence
Surface Shape Reconstruction of a Nonrigid Transport Object Using Refraction and Motion
IEEE Transactions on Pattern Analysis and Machine Intelligence
Robot Vision
3D Surface Estimation and Model Construction From Specular Motion in Image Sequences
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Theory of Specular Surface Geometry
International Journal of Computer Vision
On the Motion and Appearance of Specularities in Image Sequences
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part I
View Alignment of Aerial and Terrestrial Imagery in Urban Environments
ISD '99 Selected Papers from the International Workshop on Integrated Spatial Databases, Digital Inages and GIS
Recognition and reconstruction of buildings from multiple aerial images
Computer Vision and Image Understanding
Weighted Minimal Hypersurface Reconstruction
IEEE Transactions on Pattern Analysis and Machine Intelligence
Shape Recovery of Specular Surface Using Color Highlight Stripe and Light Source Coding
MIRAGE '09 Proceedings of the 4th International Conference on Computer Vision/Computer Graphics CollaborationTechniques
An Improved Structured Light Inspection of Specular Surfaces Based on Quaternary Coding
MIRAGE '09 Proceedings of the 4th International Conference on Computer Vision/Computer Graphics CollaborationTechniques
Joint Estimation of Shape and Reflectance using Multiple Images with Known Illumination Conditions
International Journal of Computer Vision
Simulation of automated visual inspection systems for specular surfaces quality control
PSIVT'07 Proceedings of the 2nd Pacific Rim conference on Advances in image and video technology
Recovering shape and reflectance model of non-lambertian objects from multiple views
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
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In many remote sensing and machine vision applications, the shape of a specular surface such as water, glass, or polished metal must be determined instantaneously and under natural lighting conditions. Most image analysis techniques, however, assume surface reflectance properties or lighting conditions that are incompatible with these situations. To retrieve the shape of smooth specular surfaces, a technique known as specular surface stereo was developed. The method analyzes multiple images of a surface and finds a surface shape that results in a set of synthetic images that match the observed ones. An image synthesis model is used to predict image irradiance values as a function of the shape and reflectance properties of the surface, camera geometry, and radiance distribution of the illumination. The specular surface stereo technique was tested by processing four numerical simulations-a water surface illuminated by a low- and high-contrast extended light source, and a mirrored surface illuminated by a low- and high-contrast extended light source. Under these controlled circumstances, the recovered surface shape showed good agreement with the known input.