Torsten Edeler

Learn More
In this paper, we propose a novel way of using time-of-flight camera depth and amplitude images to reduce the noise in depth images with prior knowledge of spatial noise distribution, which is correlated with the incident light falling on each pixel. The denoising is done in wavelet space and the influence and implications of the extended noise model to(More)
In this paper we propose a novel way of using time-of-flight camera depth and intensity images to produce a higher resolution depth image with prior knowledge of spatial noise distribution, which is correlated with the incident light falling on each pixel. The proposed method is compared to well-established methods, and results with real image data are(More)
In this paper a novel approach of initializing region-based active contours using unimodahty analysis is introduced. Two different initialization methods using dip test and excess mass test to adapt the initial radii of the active contours are developed. Both methods are compared to state of the art methods and a method which is based on kurtosis and(More)
—In this paper, we present a new compressed-sensing (CS) setup together with a new scalable CS model, which allows the tradeoff between system complexity (number of detectors) and time (number of measurements). We describe the calibration of the system with respect to model parameters and show the reconstruction of compressed measurements according to the(More)
In this paper we present two novel methods for initializing region-based active contours. First we use an analysis of higher order statistic attributes of the complete image and the regions of the initial contour candidates. Then we extend this approach by taking the dissimilarity between the initialized regions and the complete image into account. We(More)
Time-of-flight (Tof) range imaging is a new suitable choice for measurement and modeling in many different applications such as robotics, machine vision, medical imaging, multimedia and so forth. But due to the technology's relatively new appearance on the market the knowledge of its capabilities is very low. This paper presents an uncertainty analysis for(More)
In this paper we present a new compressed sensing model and reconstruction method for multi-detector signal acquisition. We extend the concept of the famous single-pixel camera to a multi-detector device with the benefit of reducing measurement time, while still providing resolution enhancement and deblurring. We provide a scalable model which allows the(More)