SIGGRAPH '96 Proceedings of the 23rd annual conference on Computer graphics and interactive techniques
A Theory of Specular Surface Geometry
International Journal of Computer Vision
A Flexible New Technique for Camera Calibration
IEEE Transactions on Pattern Analysis and Machine Intelligence
Theory of Reconstruction from Image Motion
Theory of Reconstruction from Image Motion
Bundle Adjustment - A Modern Synthesis
ICCV '99 Proceedings of the International Workshop on Vision Algorithms: Theory and Practice
Acquiring 3D Object Models from Specular Motion Using Circular Lights Illumination
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
High-accuracy stereo depth maps using structured light
CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
General specular surface triangulation
ACCV'06 Proceedings of the 7th Asian conference on Computer Vision - Volume Part II
Camera pose estimation using images of planar mirror reflections
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part IV
Display-camera calibration using eye reflections and geometry constraints
Computer Vision and Image Understanding
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We consider the task of computing the pose of an object relative to a camera, for the case where the camera has no direct view of the object. This problem was encountered in work on vision-based inspection of specular or shiny surfaces, that is often based on analyzing images of calibration grids or other objects, reflected in such a surface. A natural setup consists thus of a camera and a calibration grid, put side-by-side, i.e. without the camera having a direct view of the grid. A straightforward idea for computing the pose is to place planar mirrors such that the camera sees the calibration grid’s reflection. In this paper, we consider this idea, describe geometrical properties of the setup and propose a practical algorithm for the pose computation.