Iterative point matching for registration of free-form curves and surfaces
International Journal of Computer Vision
Real-time 3D model acquisition
Proceedings of the 29th annual conference on Computer graphics and interactive techniques
A Theory of Shape by Space Carving
International Journal of Computer Vision - Special issue on Genomic Signal Processing
Extracting Realistic 3D Facial Animation Parameters from Multiview Video Clips
IEEE Computer Graphics and Applications
The Visual Hull Concept for Silhouette-Based Image Understanding
IEEE Transactions on Pattern Analysis and Machine Intelligence
New Methods for Surface Reconstruction from Range Images
New Methods for Surface Reconstruction from Range Images
Scalable self-calibrating display technology for seamless large-scale displays
Scalable self-calibrating display technology for seamless large-scale displays
Automatic projector calibration with embedded light sensors
Proceedings of the 17th annual ACM symposium on User interface software and technology
A Comparison and Evaluation of Multi-View Stereo Reconstruction Algorithms
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 1
Shape-from-Silhouette with two mirrors and an uncalibrated camera
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part II
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This paper presents a new system for rapidly acquiring complete 3-D surface models using a single orthographic structured light projector, a pair of planar mirrors, and one or more synchronized cameras. Using the mirrors, we project structured light patterns that illuminate the object from all sides (not just the side of the projector) and are able to observe the object from several vantage points simultaneously. This system requires that projected planes of light to be parallel, so we construct an orthographic projector using a Fresnel lens and a commercial DLP projector. A single Gray code sequence is used to encode a set of vertically-spaced light planes within the scanning volume, and five views of the illuminated object are obtained from a single image of the planar mirrors located behind it. From each real and virtual camera we recover a dense 3-D point cloud spanning the entire object surface using traditional structured light algorithms. A key benefit of this design is to ensure that each point on the object surface can be assigned an unambiguous Gray code sequence, despite the possibility of being illuminated from multiple directions. In addition to presenting a prototype implementation, we also develop a complete set of mechanical alignment and calibration procedures for utilizing orthographic projectors in computer vision applications. As we demonstrate, the proposed system overcomes a major hurdle to achieving full 360^o reconstructions using a single structured light sequence by eliminating the need for merging multiple scans or multiplexing several projectors.