Based on depth perception of individual stereo cameras, spatial structures can be derived as point clouds. The quality such three-dimensional data is technically restricted by sensor limitations, latency recording, and insufficient object reconstructions caused surface illustration. Additionally external physical effects like lighting conditions, material properties, reflections lead to deviati...

This manuscript makes two contributions to the field of change-point detection. In a general setting, we provide generic algorithm for aggregating local homogeneity tests into an estimator change-points in time series. Interestingly, establish that error rates collection directly translate detection properties estimator. scheme is then applied various problems including covariance detection, no...

We propose a new method for analysis of multivariate point pattern data observed in heterogeneous environment and with complex intensity functions. suggest semiparametric models the functions that depend on an unspecified factor common to all types points. This is example well suited analyzing spatial covariate effects events such as street crime activities occur urban environment. A multinomia...

Here, we present the status of an ongoing project aimed at developing a point spread function (PSF) reconstruction software for adaptive optics (AO) observations. In particular, test first time implementation pyramid wave-front sensor data on our algorithms. As step in assessing its reliability, applied to bright, on-axis, point-like sources using two independent sets observations, acquired wit...