A Method for Registration of 3-D Shapes
IEEE Transactions on Pattern Analysis and Machine Intelligence - Special issue on interpretation of 3-D scenes—part II
Specularities Reduce Ambiguity of Uncalibrated Photometric Stereo
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part II
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Efficiently combining positions and normals for precise 3D geometry
ACM SIGGRAPH 2005 Papers
Can Two Specular Pixels Calibrate Photometric Stereo?
ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision - Volume 2
IEEE Transactions on Pattern Analysis and Machine Intelligence
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part II
Fusing Multiview and Photometric Stereo for 3D Reconstruction under Uncalibrated Illumination
IEEE Transactions on Visualization and Computer Graphics
The Geometry of Reflectance Symmetries
IEEE Transactions on Pattern Analysis and Machine Intelligence
A closed-form solution to uncalibrated photometric stereo via diffuse maxima
CVPR '12 Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
Multi-view Photometric Stereo with Spatially Varying Isotropic Materials
CVPR '13 Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition
Calibrating Photometric Stereo by Holistic Reflectance Symmetry Analysis
CVPR '13 Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition
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We propose an auto-calibration method for photometric stereo. Our method exploits constraints placed on light sources to recover their positions and the surface normals of an object up to a scaling and planar rotation ambiguity. The ambiguity is resolved with multi-view consistency constraints leading to a Euclidean reconstruction of the geometric shape of the object. Auto-calibration methods are helpful to overcome the limitations imposed by calibrating objects. We evaluate our algorithm with experiments on real world scenes.