3-D Reconstruction Using Mirror Images Based on a Plane Symmetry Recovering Method
IEEE Transactions on Pattern Analysis and Machine Intelligence
Three-dimensional computer vision: a geometric viewpoint
Three-dimensional computer vision: a geometric viewpoint
Utilizing symmetry in the reconstruction of three-dimensional shape from noisy images
ECCV '94 Proceedings of the third European conference on Computer vision (vol. 1)
Multiple view geometry in computer vision
Multiple view geometry in computer vision
Machine Vision and Applications
The use of vanishing point for the classification of reflections from foreground mask in videos
IEEE Transactions on Image Processing
Geometrical scene analysis using co-motion statistics
ACIVS'07 Proceedings of the 9th international conference on Advanced concepts for intelligent vision systems
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We assume the presence of mirror symmetry in the viewed scene. In this scene we consider planar point sets and their mirror reflections. We observe the existence of a homology that maps the image of such a planar point set to the image of its mirror reflection. We show how to compute the vertex and the axis of this homology. Finally, the homology is used to reduce image noise by “symmetrization”.