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This paper presents the temporal enhancement of the graph-based depth estimation method, designed for multiview systems with arbitrarily located cameras. The primary goal of the proposed enhancement is to increase the quality of estimated depth maps and simultaneously decrease the time of estimation. The method consists of two stages: the temporal enhancement of segmentation required in used depth...
Localization of a resected tumor lodge after a breast cancer surgery is a challenging task for the radiotherapy planning. Currently, the problem is handled by creating radiation dose margins, which take into account the lack of information about lodge localization. We propose an alternative approach based on the image registration techniques, that aims to align computed tomography 3D images before...
This paper explores the subject of extracting skeletons from 3D binary images. It draws attention to the flaws found in the available skeletonization implementations. The most popular algorithm devised by Lee, Kashyap and Chu is analyzed. It is shown that despite good results, some aspects of said algorithm can be further improved upon. An own implementation, with some modifications is made and compared...
The perception of the spatial effect of 3D video is influenced by various factors. One of the most interesting and important factors is the content of the observed video sequence. This factor is relatively little investigated. The content of the scene can be described by particular parameters. The parameters have to describe spatial, temporal, depth and brightness distribution in sequences. We have...
Possibilities of constructing an anatomically correct and accurate geometric model of brain blood vessels basing on clinical 1.5T magnetic resonance images are explored. A high-resolution ToF MR image (0.49 mm3 voxel) was used to build a reference geometric model of selected real-brain arteries. This model was STL-described and 3D printed using a photopolymer material. The printed phantom was submerged...
A recent and fascinating interest in computational symmetry for computer vision and computer graphics applications has led to a remarkable realization of new symmetry detection algorithms. Such a concern is culminated in a symmetry detection competition as a workshop affiliated with the 2011 and 2013 CVPR Conferences. In this paper, we propose a method based on the computation of the symmetry level...
Segmentation of point clouds has been studied under a variety of scenarios. However, the segmentation of scanned point clouds for a clustered indoor scene remains significantly challenging due to noisy and incomplete data, as well as scene complexity. Based on the observation that objects in an indoor scene vary largely in scale but are typically supported by planes, we propose a co-segmentation approach...
Keypoint detection is a basic step in many computer vision algorithms aimed at recognition of objects, automatic navigation, medicine and other application fields. Successful implementation of higher level image analysis tasks, however, is conditioned by reliable detection of characteristic image local regions termed keypoints. A large number of keypoint detection algorithms has been proposed and...
In this paper we consider immersive visual media that are currently researched within scientific community. These include the well-established technologies, like 360-degree panoramas, as well as those being intensively developed, like free viewpoint video and point-cloud based systems. By the use of characteristic examples, we define the features of the immersive visual media that distinguish them...
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