Structured Highlight Inspection of Specular Surfaces
IEEE Transactions on Pattern Analysis and Machine Intelligence
Computer Vision, Graphics, and Image Processing
The information available to a moving observer from specularities
Image and Vision Computing - 4th Alvey Vision Meeting
Constraining Object Features Using a Polarization Reflectance Model
IEEE Transactions on Pattern Analysis and Machine Intelligence
Understanding of surface reflections in computer vision by color and multiple views
Understanding of surface reflections in computer vision by color and multiple views
Separation of Reflection Components Using Color and Polarization
International Journal of Computer Vision
Robot Vision
Retrieving Shape Information from Multiple Images of a Specular Surface
IEEE Transactions on Pattern Analysis and Machine Intelligence
Shape and model from specular motion
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
Parameter estimation and classification of machine parts based on specular or mirror-like image data (robot vision, shape from shading, surface classification)
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
Local Analysis for 3D Reconstruction of Specular Surfaces - Part II
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part II
Transparent Surface Modeling from a Pair of Polarization Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
What do reflections tell us about the shape of a mirror?
APGV '04 Proceedings of the 1st Symposium on Applied perception in graphics and visualization
Extracting layers and analyzing their specular properties using epipolar-plane-image analysis
Computer Vision and Image Understanding
Local Shape from Mirror Reflections
International Journal of Computer Vision
Extracting and depicting the 3D shape of specular surfaces
APGV '05 Proceedings of the 2nd symposium on Applied perception in graphics and visualization
3D Acquisition of mirroring objects using striped patterns
Graphical Models
Sketching shiny surfaces: 3D shape extraction and depiction of specular surfaces
ACM Transactions on Applied Perception (TAP)
Surface Dependent Representations for Illumination Insensitive Image Comparison
IEEE Transactions on Pattern Analysis and Machine Intelligence
Novel 3D model reconstruction method for the co-existence of diffuse and specular object surfaces
SPPR'07 Proceedings of the Fourth conference on IASTED International Conference: Signal Processing, Pattern Recognition, and Applications
Retrieving multiple light sources in the presence of specular reflections and texture
Computer Vision and Image Understanding
Using specularities in comparing 3D models and 2D images
Computer Vision and Image Understanding
Accurately estimating reflectance parameters for color and gloss reproduction
Computer Vision and Image Understanding
Novel 3D model reconstruction method for the co-existence of diffuse and specular object surfaces
SPPRA '07 Proceedings of the Fourth IASTED International Conference on Signal Processing, Pattern Recognition, and Applications
ACCV'07 Proceedings of the 8th Asian conference on Computer vision - Volume Part II
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
Geometry construction from caustic images
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part V
Surface reconstruction via helmholtz reciprocity with a single image pair
CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
ACCV'10 Proceedings of the 10th Asian conference on Computer vision - Volume Part II
Rapid classification of specular and diffuse reflection from image velocities
Pattern Recognition
How to compute the pose of an object without a direct view?
ACCV'06 Proceedings of the 7th Asian conference on Computer Vision - Volume Part II
International Journal of Computer Vision
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A theoretical framework is introduced for the perception of specularsurface geometry. When an observer moves in three-dimensional space,real scene features such as surface markings remain stationary withrespect to the surfaces they belong to. In contrast, a virtualfeature which is the specular reflection of a real feature, travelson the surface. Based on the notion of caustics, a featureclassification algorithm is developed that distinguishes real andvirtual features from their image trajectories that result fromobserver motion. Next, using support functions of curves, aclosed-form relation is derived between the image trajectory of avirtual feature and the geometry of the specular surface it travelson. It is shown that, in the 2D case, where camera motion and thesurface profile are coplanar, the profile is uniquely recovered bytracking just two unknown virtual features. Finally, these resultsare generalized to the case of arbitrary 3D surface profiles that aretraveled by virtual features when camera motion is not confined to aplane. This generalization includes a number of mathematical resultsthat substantially enhance the present understanding of specularsurface geometry. An algorithm is developed that uniquely recovers 3Dsurface profiles using a single virtual feature tracked from theoccluding boundary of the object. All theoretical derivations andproposed algorithms are substantiated by experiments.