Data augmentation consists in adding slightly modified copies of the existing data to the training set, which increases the total amount of data and generally results in better results obtained by machine learning algorithms. The fast.ai library has some predefined values for...

This paper describes a method for dysgraphia disorder detection based on the classification of handwritten text. In the experiment we have verified proposed approach based on the conventional signal theory. Input data consists of the handwritten text by dysgraphia diagnos...

In recent years, deep learning and object detection has continuously attracted more attention. Especially in the automotive world where many car manufacturers are currently investigating its possible applications. On production lines, even if processes are more and more automatized mistake...

Many objects in the real world exhibit specular reflections. Due to the limitations of the basic RGB-D cameras, it is particularly challenging to accurately capture their 3D shapes. In this work, we present an approach to correct the depth of close-range specular objects...

This paper proposes an acceleration method for direct volume rendering (DVR). Our approach works like a wrapper or braces surrounding raycasting implementations and requires very few changes to the existing code. Visualization systems can significantly improve their rendering performance i...

In this paper, we present a new deep convolutional neural network to classify 2d contours, described by a sequence of points coordinates representing the boundary of objects. Several works dealt with this subject, even those using learning, but few works use deep learning. This...

Diagnosis of craniofacial conditions is shifting towards pre- and peri-natal stages, since early assessment has shown to be crucial for the effective treatment of functional and developmental aspects of children. 3D Morphable Models are a valuable tool for such evaluation. However,&#x...

3D human pose estimation by grouping human body joints according to anatomical relationship is currently a popular and effective method. For grouped pose estimation, fusing features of different groups together effectively is the key step to ensure the integrity of whole body...

Mobile Science Center is a Polish project that seeks to bring astronomy knowledge to wider social groups through various applications. In its development it is necessary to design a graphical interface that explains a concept that is difficult to assimilate such as spatial&#...

A chatbot can automatically process a user’s request, e.g. to provide a requested information. In doing so, the user starts a conversation with the chatbot and can specify the request by further inquiry. Due to the developments in the field of NLP in recent years,&...

In this paper we propose improvements to the 3D radial layouts that make it possible to visualize centrality mea- sures of the nodes in a graph. Our improvements mainly relate edge drawing and the evaluation of the 3D radial layouts. First, we projected not only&#x...

Digital Games are nowadays used for several purposes beyond entertainment. Such purposes include but are not limited to education, promoting cultural heritage, and improving well-being aspects. A rich body of literature presents experimental studies, investigating whether a serious game ac...

Typically, prostate evaluation is done by using different imaging sequences of magnetic resonance imaging. Dy- namic contrast enhancement, one of such scanning modalities, allow to spot higher vascular permeability and density caused by the malignant tissue. Authors of this paper inve...

3D line skeletons are simplistic representations of a shape’s topology which are used for a wide variety of geometry-processing tasks, including shape recognition, retrieval, and reconstruction. Numerous methods have been proposed to generate a skeleton from a given 3D shape. While&#x...

Highly resolved flow simulation data is becoming more common. These simulations frequently feature high tur- bulence with complex flow patterns. Finding these regions often requires expert knowledge, and in more complex cases, flow patterns of interest may remain hidden. The concept&#...

The need to multispectral cameras is growing in different fields. The goal is to provide inexpensive, flexible, or high resolution acquisition set-ups for different applications. Production of cheap and easy-to-use multispectral cameras requires the design and development of specific multi...

Presentation attacks are weak points of facial biometrical authentication systems. Although several presentation attack detection methods were developed, the best of them require a sufficient amount of training data and rely on computationally intensive deep learning based features. Thus, ...

Particle advection is the approach for extraction of integral curves from vector fields. Efficient parallelization of particle advection is a challenging task due to the problem of load imbalance, in which processes are assigned unequal workloads, causing some of them to idle...

This paper describes three methods to encode a region of interest (ROI) of arbitrary shape in the JPEG standard. The ROI is part of the image encoded with higher quality than the rest of the image. Two of the described methods are based on thresholding of ...