Structured Light Using Pseudorandom Codes
IEEE Transactions on Pattern Analysis and Machine Intelligence
Range Imaging With Adaptive Color Structured Light
IEEE Transactions on Pattern Analysis and Machine Intelligence
A robust-coded pattern projection for dynamic 3D scene measurement
Pattern Recognition Letters
A Taxonomy and Evaluation of Dense Two-Frame Stereo Correspondence Algorithms
International Journal of Computer Vision
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IEEE Transactions on Pattern Analysis and Machine Intelligence
A Space-Sweep Approach to True Multi-Image Matching
CVPR '96 Proceedings of the 1996 Conference on Computer Vision and Pattern Recognition (CVPR '96)
Better optical triangulation through spacetime analysis
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
Real-Time Range Acquisition by Adaptive Structured Light
IEEE Transactions on Pattern Analysis and Machine Intelligence
Build your own 3D scanner: 3D photography for beginners
ACM SIGGRAPH 2009 Courses
Optimised De Bruijn patterns for one-shot shape acquisition
Image and Vision Computing
A state of the art in structured light patterns for surface profilometry
Pattern Recognition
Flexible voxels for motion-aware videography
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part I
KinectFusion: real-time 3D reconstruction and interaction using a moving depth camera
Proceedings of the 24th annual ACM symposium on User interface software and technology
Real-time human pose recognition in parts from single depth images
CVPR '11 Proceedings of the 2011 IEEE Conference on Computer Vision and Pattern Recognition
Structured light 3D scanning in the presence of global illumination
CVPR '11 Proceedings of the 2011 IEEE Conference on Computer Vision and Pattern Recognition
CVPR '11 Proceedings of the 2011 IEEE Conference on Computer Vision and Pattern Recognition
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Single-shot structured light methods allow 3D reconstruction of dynamic scenes. However, such methods lose spatial resolution and perform poorly around depth discontinuities. Previous single-shot methods project the same pattern repeatedly; thereby spatial resolution is reduced even if the scene is static or has slowly moving parts. We present a structured light system using a sequence of shifted stripe patterns that is decodable both spatially and temporally. By default, our method allows single-shot 3D reconstruction with any of our projected patterns by using spatial windows. Moreover, the sequence is designed so as to progressively improve the reconstruction quality around depth discontinuities by using temporal windows. Our method enables motion-aware reconstruction for each pixel: The best spatio-temporal window is automatically selected depending on the scene structure, motion, and the number of available images. This significantly reduces the number of pixels around discontinuities where depth cannot be recovered in traditional approaches. Our decoding scheme extends the adaptive window matching commonly used in stereo by incorporating temporal windows with 1D spatial windows. We demonstrate the advantages of our approach for a variety of scenarios including thin structures, dynamic scenes, and scenes containing both static and dynamic regions.