An Experimental Study of Reconstruction of Tool Cutting Edge Features Using Space Carving Method
ISVC '08 Proceedings of the 4th International Symposium on Advances in Visual Computing, Part II
Generic Scene Recovery Using Multiple Images
SSVM '09 Proceedings of the Second International Conference on Scale Space and Variational Methods in Computer Vision
Facial Geometry Estimation Using Photometric Stereo and Profile Views
ICB '09 Proceedings of the Third International Conference on Advances in Biometrics
Integrating the Normal Field of a Surface in the Presence of Discontinuities
EMMCVPR '09 Proceedings of the 7th International Conference on Energy Minimization Methods in Computer Vision and Pattern Recognition
Dynamic shape capture using multi-view photometric stereo
ACM SIGGRAPH Asia 2009 papers
Palmprint recognition using 3-D information
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Joint Estimation of Shape and Reflectance using Multiple Images with Known Illumination Conditions
International Journal of Computer Vision
3D and Appearance Modeling from Images
CIARP '09 Proceedings of the 14th Iberoamerican Conference on Pattern Recognition: Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
Multi-view reconstruction under varying illumination conditions
ICME'09 Proceedings of the 2009 IEEE international conference on Multimedia and Expo
Geometric and radiometric modeling of 3D scenes
ICME'09 Proceedings of the 2009 IEEE international conference on Multimedia and Expo
Optimal coverage for multiple hovering robots with downward facing cameras
ICRA'09 Proceedings of the 2009 IEEE international conference on Robotics and Automation
A coaxial optical scanner for synchronous acquisition of 3D geometry and surface reflectance
ACM SIGGRAPH 2010 papers
A quality controllable multi-view object reconstruction method for 3D imaging systems
Journal of Visual Communication and Image Representation
Visibility subspaces: uncalibrated photometric stereo with shadows
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part II
DECHO—a framework for the digital exploration of cultural heritage objects
Journal on Computing and Cultural Heritage (JOCCH)
Shape reconstruction and texture sampling by active rectification and virtual view synthesis
Computer Vision and Image Understanding
Towards full 3D Helmholtz stereovision algorithms
ACCV'10 Proceedings of the 10th Asian conference on Computer vision - Volume Part I
Robust photometric stereo via low-rank matrix completion and recovery
ACCV'10 Proceedings of the 10th Asian conference on Computer vision - Volume Part III
International Journal of Computer Vision
Self-calibrated, Multi-spectral Photometric Stereo for 3D Face Capture
International Journal of Computer Vision
Shape from Silhouette Consensus
Pattern Recognition
Improved reconstruction of deforming surfaces by cancelling ambient occlusion
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part I
Full body performance capture under uncontrolled and varying illumination: a shading-based approach
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part IV
Removing the example from example-based photometric stereo
ECCV'10 Proceedings of the 11th European conference on Trends and Topics in Computer Vision - Volume Part II
A 3D Imaging Framework Based on High-Resolution Photometric-Stereo and Low-Resolution Depth
International Journal of Computer Vision
LaserGun: a tool for hybrid 3D reconstruction
ICVS'13 Proceedings of the 9th international conference on Computer Vision Systems
Evaluating the effect of diffuse light on photometric stereo reconstruction
Machine Vision and Applications
Auto-calibrating photometric stereo using ring light constraints
Machine Vision and Applications
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This paper addresses the problem of obtaining complete, detailed reconstructions of textureless shiny objects. We present an algorithm which uses silhouettes of the object, as well as images obtained under changing illumination conditions. In contrast with previous photometric stereo techniques, ours is not limited to a single viewpoint but produces accurate reconstructions in full 3D. A number of images of the object are obtained from multiple viewpoints, under varying lighting conditions. Starting from the silhouettes, the algorithm recovers camera motion and constructs the object's visual hull. This is then used to recover the illumination and initialise a multi-view photometric stereo scheme to obtain a closed surface reconstruction. There are two main contributions in this paper: Firstly we describe a robust technique to estimate light directions and intensities and secondly, we introduce a novel formulation of photometric stereo which combines multiple viewpoints and hence allows closed surface reconstructions. The algorithm has been implemented as a practical model acquisition system. Here, a quantitative evaluation of the algorithm on synthetic data is presented together with complete reconstructions of challenging real objects. Finally, we show experimentally how even in the case of highly textured objects, this technique can greatly improve on correspondence-based multi-view stereo results.