In this paper, we summarize recent research results from a new technique of sensor calibration called Shape from Motion Calibration. We first present the basic technique, which is an eigenspace analysis, and show that it includes the rigor of least squares without the full burden of measuring all the applied inputs. Next we present new research that removes another constraint of the calibration...

This paper deals with the concept of auto-calibration, i.e. methods to calibrate a camera on-line. In particular, we deal with minimal conditions on the intrinsic parameters needed to make a Euclidean reconstruction, called flexible calibration. The main theoretical results are that it is only needed to know that one intrinsic parameter is constant. The method is based on an initial projective ...

Radiometric calibration is the basis of both hyperspectral data applications and quantitative remote sensing. While at present, there is no good and suitable method for radiometric calibration in the aerospace hyperspectral data. The paper uses the highest spectral resolution Hyperion EO-1 satellite data in current world Spaceflight sensor as information source, using a variety of calibration m...

Compared to a 2D plate camera calibration and a traditional 3D calibration cage, it is generally regarded that a wand-based camera calibration of 3D photogrammetric systems is more user-friendly. Not surprisingly, nowadays commercially available 3D kinematic systems for a human motion analysis are offering almost exclusively a wand calibration. Still a 2D calibration plate is continuously used ...

The paper presents a calibration model suitable for software-based calibration of Kinect-type RGB-D sensors. Additionally, it describes a twostep calibration procedure assuming a use of only a simple checkerboard pattern. Finally, the paper presents a calibration case study, showing that the calibration may improve sensor accuracy 3 to 5 times, depending on the anticipated use of the sensor. Th...

Calibration estimation, where the sampling weights are adjusted to make certain estimators match known population totals, is commonly used in survey sampling. The generalized regression estimator is an example of a calibration estimator. Given the functional form of the calibration adjustment term, we establish the asymptotic equivalence between the functional-form calibration estimator and an ...

introduction: planning and management of water resource and river basins needs use of conceptual hydrologic models which play a significant role in predicting basins response to different climatic and meteorological processes. evaluating watershed response through mathematical hydrologic models requires finding a set of parameter values of the model which provides thebest fit between observed a...

Response calibration is the process of inferring how much the measured data depend on the signal one is interested in. It is essential for any quantitative signal estimation on the basis of the data. Here, we investigate self-calibration methods for linear signal measurements and linear dependence of the response on the calibration parameters. The common practice is to augment an external calib...