Existing works on orthogonal moments are mainly focused on optimizing classical orthogonal Cartesian moments, such as Legendre moments, Gauss-Hermite moments, Gegenbauer moments, and Chebyshev moments. Research in this area generally includes accurate calculation, fast computation, robustness/invariance&...

Automatic analysis of actions in sports training can provide useful feedback for athletes. Fencing is one of the sports disciplines in which the correct technique for performing actions is very important. For any practical appli cation, temporal segmentation of movement in continuous&#...

Virtual hands have a wide range of applications, including education, medical simulation, training, animation, and gaming. In education and training, they can be used to teach complex procedures or simulate realistic scenarios. This extends to medical training and therapy to simulate&...

River generation is an integral part of realistic terrain generation, since rivers shape terrains and changes in terrain, e.g., due to tectonic movements can change the path of rivers. Fast existing terrain generation methods often result in non-realistic river patterns, whereas ...

The Blocky Volume Package (BVP) format is a distributed, platform-independent and API-independent format for storing static and temporal volumetric data. It is designed for efficient transfer over a network by supporting sparse volumes, multiple resolutions, random access, and streaming, a...

We present a novel image reconstruction method from scattered data based on multigrid relaxation of the Poisson equation and convolutional neural networks (CNN). We first formulate the image reconstruction problem as a Poisson equation with irregular boundary conditions, then propose ...

The photometric stereo (PS) problem consists in reconstructing the 3D-surface of an object, thanks to a set of photographs taken under different lighting directions. In this paper, we propose a multi-scale architecture for PS which, combined with a new dataset, yields state-of-th...

Energy consumption for computing and using hypersurface curvature in volume dataset analysis and visualization is studied here. Usage in both the base case and when more energy-optimal strategies, particularly computational (especially for linear algebraic steps) strategies, are the primary...

We present a novel methodological approach for the interactive editing of big point clouds. Based on the mathematics of fiber bundles, the proposed approach to model a data structure that is efficient for visualization, modification and I/O including an unlimited mult...

Surrounding lighting conditions cannot always be sufficiently controlled during videoconferences, yielding situa tions in which disturbing reflections might appear on the participants glasses. In this article, we present a retrained neural network to convincingly reduce such reflections. For real...

3D landscapes generation is an interdisciplinary field that requires expertise in both computer graphics and ge ographic informations systems (GIS). It is a complex and time-consuming process. In this paper, we present a new approach to simplify 3D environment generation process, by&#x...

We present an approach for visualizing deviations between a 3d printed object and its digital twin. The correspond ing 3d visualization for instance allows to highlight particularly critical sections that indicate high deviations along with corresponding annotations. Therefore, the 3d print...

Tracking errors severely impact the effectiveness of augmented reality display techniques for indoor navigation. In this work we take a look at the sources of error and accuracy of existing tracking technologies. We derive important design criteria for robust display techniques a...

Real samples are costly to acquire in many real-world problems. Thus, employing synthetic samples is usually the primary solution to train models that require large amounts of data. However, the difference between synthetically generated and real images, called domain gap, is the...

We introduce a Monte Carlo based real-time diffusion process for shape-based analysis in volumetric data. The diffusion process is carried out by using tiny massless particles termed shapetons, which are used to capture the shape information. Initially, these shapetons are randomly&#x...

The detection of mirrors is a challenging task due to their lack of a distinctive appearance and the visual similarity of reflections with their surroundings. While existing systems have achieved some success in mirror segmentation, the design of lightweight models remains unexpl...

Criteria capable of texture spectral similarity evaluation are presented and compared. From the fifteen evaluated criteria, only four criteria guarantee zero or minimal spectral ranking errors. Such criteria can support texture modeling algorithms by comparing the modeled texture with corr...

Computational photography has revolutionized the way we capture and interpret images. Light fields, in particular, offer a rich representation of a scene’s geometry and appearance by encoding both spatial and angular information. In this paper, we present a novel approach to ligh...

We propose a novel cut-and-paste approach to synthesize a training dataset for shelf item detection, reflecting the alignments of items in the real image dataset. The conventional cut-and-paste approach synthesizes large numbers of training images by pasting foregrounds on background ...

eXpressive B-Spline Curve (XBSC) is a resolution-independent and computationally efficient technique for vector-based stroke modeling and rendering with the flexibility in defining and adjusting the shape and other parameters of the stroke. It generalizes the existing Disk B-Spline ...