Damir Filko

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—A range image segmentation approach is presented. A range image obtained by a 3D sensor is transformed to a 2.5D triangle mesh. This mesh is then segmented into approximately convex surfaces by an iterative procedure based on the incremental convex hull algorithm and region growing. The proposed approach is designed as a fast mid-level tool whose task is(More)
A fast robot pose tracking algorithm based on planar segments extracted from range images is presented. A range image obtained from a 3D sensor is transformed to a 2.5D triangle mesh from which planar segments are extracted. Using information provided by each planar segment based on its size and orientation, a directed search hypothesis generation algorithm(More)
—Global localization of a mobile robot using planar surface segments extracted from depth images is considered. The robot's environment is represented by a topological map consisting of local models, each representing a particular location modeled by a set of planar surface segments. The discussed localization approach segments a depth image acquired by a(More)
—A fruit recognition approach based on segmenting the point cloud acquired by a 3D camera into approximately convex surfaces is considered. A segmentation approach which transforms a depth image into a triangular mesh and then segments this mesh into approximately convex segments is applied to depth images of fruits on trees. An analysis of the results(More)
Wound characterization is important task in chronic wounds treatment, because changes of the wound size and tissue types are indicators of the healing progress. Developed color image processing software analyze digital wound image and based on learned tissue samples performs tissue classification. Implemented statistical pattern recognition algorithm(More)
The advent of inexpensive RGB-D sensors pioneered by the original Kinect sensor, has paved the way for a lot of innovations in computer and robot vision applications. In this article, we propose a system which uses the new Kinect 2 sensor in a medical application for the purpose of detection and 3D reconstruction of chronic wounds. Wound detection is based(More)
This work gives improvement of gradient learning algorithms for adjusting neural network weights. Suggested improvement results in alternative method that converge in less iteration and is inherently parallel, convenient for implementation on computer grid. Experimental results show time savings in multiple thread execution for a wide range of MLP neural(More)