Multiple view geometry in computer visiond
Multiple view geometry in computer visiond
Statistical Optimization for Geometric Computation: Theory and Practice
Statistical Optimization for Geometric Computation: Theory and Practice
Accuracy of 3D Scanning Technologies in a Face Scanning Scenario
3DIM '05 Proceedings of the Fifth International Conference on 3-D Digital Imaging and Modeling
3D acquisition system using uncalibrated line-laser projec
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 01
Point Clouds Construction Algorithm from a Home-Made Laser Scanner
ISDA '08 Proceedings of the 2008 Eighth International Conference on Intelligent Systems Design and Applications - Volume 01
Approximate regularization for structural optical flow estimation
ACIVS'12 Proceedings of the 14th international conference on Advanced Concepts for Intelligent Vision Systems
Semi-variational registration of range images by non-rigid deformations
ACIVS'12 Proceedings of the 14th international conference on Advanced Concepts for Intelligent Vision Systems
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We develop a calibration algorithm and a three-dimensional reconstruction algorithm for a handheld 3D laser scanner. Our laser scanner consists of a color camera and a line laser oriented in a fixed relation to each other. Besides the three-dimensional coordinates of the observed object our reconstruction algorithm returns a comprehensive measure of uncertainty for the reconstructed points. Our methods are computationally efficient and precise. We experimentally evaluate the applicability of our methods on several practical examples. In particular, for a calibrated sensor setup we can estimate for each pixel a human-interpretable upper bound for the reconstruction quality. This determines a "working area" in the image of the camera where the pixels have a reasonable accuracy. This helps to remove outliers and to increase the computational speed of our implementation.