Real-time numerical peak detector
Signal Processing
Localization and Noise in Edge Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
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
Better optical triangulation through spacetime analysis
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
Object Recognition from Local Scale-Invariant Features
ICCV '99 Proceedings of the International Conference on Computer Vision-Volume 2 - Volume 2
Non-photorealistic camera: depth edge detection and stylized rendering using multi-flash imaging
ACM SIGGRAPH 2004 Papers
Laser Stripe Peak Detector for 3D Scanners. A FIR Filter Approach
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 3 - Volume 03
Efficiently combining positions and normals for precise 3D geometry
ACM SIGGRAPH 2005 Papers
A Bayesian method for probable surface reconstruction and decimation
ACM Transactions on Graphics (TOG)
Bayesian surface reconstruction via iterative scan alignment to an optimized prototype
SGP '07 Proceedings of the fifth Eurographics symposium on Geometry processing
4-points congruent sets for robust pairwise surface registration
ACM SIGGRAPH 2008 papers
Laser scanner super-resolution
SPBG'06 Proceedings of the 3rd Eurographics / IEEE VGTC conference on Point-Based Graphics
A benchmark for surface reconstruction
ACM Transactions on Graphics (TOG)
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Optical triangulation laser scanners produce errors at surface discontinuities and sharp features. These systematic errors are anisotropic. We examine the causes of these errors theoretically, and we study the correlation of systematic error with edge size and orientation experimentally. We then present a novel processing method for removing systematic errors, by combining scans taken at several different orientations. We apply an anisotropic filter to the separate scans, and use it to weight the data in a final combination step. Unlike previous approaches, our method does not require access to the scanner's internal data or firmware. We demonstrate the technique on data from laser range scanners by two different manufacturers.