Daniel Weingaertner

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In this article we propose a novel biometric identification method for newborn babies using their palmprints. A new high resolution optical sensor was developed, which obtains images with enough ridge minutiae to uniquely identify the baby. The palm and footprint images of 106 newborns were analysed, leading to the conclusion that palmprints yield more(More)
This work presents an efficient CUDA implementation of the Canny edge detection Filter for the Insight Segmentation and Registration Toolkit (ITK). The algorithm is tested on three generations of NVidia GPGPUs, showing performance gains of 3.6 to 50 times when compared to the standard ITK Canny running on two CPU models. The CUDA-enabled Canny is also(More)
This paper presents a method for recognizing hand configurations of the Brazilian sign language (LIBRAS) using 3D meshes and 2D projections of the hand. Five actors performing 61 different hand configurations of the LIBRAS language were recorded twice, and the videos were manually segmented to extract one frame with a frontal and one with a lateral view of(More)
This work investigates, whether openEHR with its reference model, archetypes and templates is suitable for the digital representation of demographic as well as clinical data. Moreover, it elaborates openEHR as a tool for modelling Hospital Information Systems on a regional level based on a national logical infrastructure. OpenEHR is a dual model approach(More)
This paper describes a hierarchical evolutionary technique developed to design and train feedforward neural networks with different activation functions on their hidden layer neurons (Heterogeneous Neural Networks). At an upper level, a genetic algorithm is used to determine the number of neurons in the hidden layer and the type of the activation function(More)
This paper describes research investigating the evolution of coordination strategies in robot soccer teams. Each player (viewed as an agent) is provided with a common set of skills and is assigned to perform over a delimited area inside a soccer field. The idea is to optimize the whole team behavior by means of a spatial co- adaptation process in which new(More)
BACKGROUND Despite good long-term results of primary total knee arthroplasty, it is a commonly accepted aim to stave off joint replacement as long as possible, particularly in younger patients. In this situation the surgeon has to make a careful decision whether an arthroscopic procedure will be promising, a corrective osteotomy may be sensible or a joint(More)
Booting operating systems over the network is a well established method to simplify system administration in medium to large computer environments. Remote booting Linux and using PXE based environments for large scale system deployments are widely adopted by many system administrators. While scaling very well in controlled subnets they can not easily cross(More)
This paper describes research investigating the evolution of coordination strategies in robot soccer teams. Each player (viewed as an agent) is provided with a common set of skills and is assigned to perform over a delimited area inside a soccer field. The idea is to optimize the whole team behavior by means of a spatial coadaptation process in which new(More)
Diagnosis of lung diseases is usually accomplished by detecting abnormal characteristics in Computed Tomography (CT) scans. We report an initial study for classifying texture patterns in High-Resolution lung CTs using the Completed Local Binary Pattern (CLBP) descriptor with a Support Vector Machine (SVM). The main contribution of the proposed method is(More)