A5049081008- Particle physics theoretical and experimental studies
- Quantum Chromodynamics and Particle Interactions
- Advanced Optical Sensing Technologies
- High-Energy Particle Collisions Research
- Image Processing Techniques and Applications
- Advanced Vision and Imaging
- Optical measurement and interference techniques
- Particle Detector Development and Performance
- Atomic and Subatomic Physics Research
- Sparse and Compressive Sensing Techniques
- Superconducting Materials and Applications
- Dark Matter and Cosmic Phenomena
- Radioactive Decay and Measurement Techniques
- Black Holes and Theoretical Physics
- Advanced Optical Imaging Technologies
- Analytical Chemistry and Sensors
- Plasma Diagnostics and Applications
- Video Surveillance and Tracking Methods
- Advanced Data Storage Technologies
- Infrared Target Detection Methodologies
- CCD and CMOS Imaging Sensors
- Particle Accelerators and Free-Electron Lasers
- Robotics and Sensor-Based Localization
- Microwave Imaging and Scattering Analysis
- Advanced Measurement and Metrology Techniques
University of Siegen
2006-2022
Folkwang University of the Arts
1989-2022
European Organization for Nuclear Research
1988-1990
The double ratio R of the relative decay rates short- and long-lived neutral kaons into two charged pions was measured to be 0.980±0.004±0.005. deviation from CP violation in transition CP-odd K2 with ϵ′/ϵ=(3.3 ± 1.1)×10−3.
Modern time-of-flight measuring camera systems are able to provide accurate depth images but there problems with regard their usage in a dynamic environment due measurement principle. The Centre for Sensor Systems recently proposed new 2D/3D avoiding this drawback by the monocular combination of 2D and 3D sensor. In paper, is presented an approach detecting erroneous values movement made.
This paper describes a system for detection and classification of moving objects based on support vector machines (SVM) using 3D data. Two kinds camera systems are used to provide the with range images: time-of-flight (TOF) stereo vision system. While former uses modulated infrared lighting source information in each pixel photonic mixer device (PMD) sensor, latter employs disparity map from images calculate three dimensional The proposed is classify different dynamic environment under...
Time-of-flight (Tof) imaging based on the photonic mixer device (PMD) or similar ToF solutions has been limited to short distances in past, due lighting devices and low sensitivity of chips. Long-range distance measurements are typically domain laser scanning systems. In this paper, PMD medium- long-range working together with a 2-D/3-D camera presented several measurement results discussed. The proposed systems suffer from two systematic limitations addition problems wind insufficient...
The multipath interference (MPI) adds noises to the time-of-flight (TOF) measurements and then causes depth estimation inaccuracy. This paper combines multi-frequency TOF (MFT) acquisition compressive sensing (CS) approaches reconstruct reflections. Mismatch model resolution problems will be analyzed achieve a good measurement accuracy with high probability.
We present the principal aspects and concept of a monocular combination scanning 3D time-of-flight sensor with large-scale conventional 2D image sensor. While profits from whole field view an F-Mount photo film format lens, smaller-sized is mounted onto highly precise XY linear move stage. Thus, by means macro-scanning, can be moved to interesting parts scene so as provide second modality e.g. for classification purposes, or, in same setup, micro-scanning applied enhance lateral resolution....
The mismatch model errors incur after discretization in many compressed sensing (CS) applications, e.g., target discrimination, direction-of-arrival (DOA) estimation because the true parameters do not lie on discretized grids. Superresolution CS techniques aim to reduce these through design of discrete Fourier transformation (DFT) matrix with a finer grid system. However, without hardware updates, large refinement factor leads high coherence and consequently poor reconstruction performances....
This paper introduces a new scenario, named combined based on minimum distance orthogonal matching pursuit (CMD-OMP) which utilizes the strength of two available recovery methods at different ranges distance. Particularly, OMP with global optimization and non-negative constrained least square algorithm (a MATLAB function implemented as modification step) will be studied comparatively then interacted together to improve signal support performance in super-resolution compressed sensing.