Local Shape from Mirror Reflections
International Journal of Computer Vision
3D Acquisition of mirroring objects using striped patterns
Graphical Models
Variational Surface Interpolation from Sparse Point and Normal Data
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Theory of Refractive and Specular 3D Shape by Light-Path Triangulation
International Journal of Computer Vision
Using specularities in comparing 3D models and 2D images
Computer Vision and Image Understanding
Shape from Specular Reflection and Optical Flow
International Journal of Computer Vision
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
ACCV'07 Proceedings of the 8th Asian conference on Computer vision - Volume Part II
Image invariants for smooth reflective surfaces
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part II
ACCV'10 Proceedings of the 10th Asian conference on Computer vision - Volume Part II
General specular surface triangulation
ACCV'06 Proceedings of the 7th Asian conference on Computer Vision - Volume Part II
Acquiring reflectance and shape from continuous spherical harmonic illumination
ACM Transactions on Graphics (TOG) - SIGGRAPH 2013 Conference Proceedings
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We present an novel algorithm that reconstructs voxels of a general3D specular surface from multiple images of a calibrated camera. Acalibrated scene (i.e. points whose 3D coordinates are known) isreflected by the unknown specular surface onto the image plane ofthe camera. For every viewpoint, surface normals are associated tothe voxels traversed by each projection ray formed by thereflection of a scene point. A decision process then discardsvoxels whose associated surface normals are not consistent with oneanother. The output of the algorithm is a collection of voxels andsurface normals in 3D space, whose quality and size depend onuser-set thresholds. The method has been tested on synthetic andreal images. Visual and quantified experimental results arepresented.