Age estimation from human faces is an important yet challenging task in computer vision because of the large differences between physical age and apparent age. Although many inspiring works have focused on the age estimation of a single human face through deep learning, ...

Optic disc (OD) and Optic Cup (OC) segmentation play an important role in the automatic assessment of eye health where the Convolutional Neural Networks (CNNs) have been extensively employed. The application of CNNs requires identical image size to work properly but the eye&...

In this paper, we focus on improving binary 2D instance segmentation to assist humans in labeling ground truth datasets with polygons. Humans labeler just have to draw boxes around objects, and polygons are generated automatically. To be useful, our system has to run on...

Aerial photographs of buildings are often used as memorabilia sold by trading companies. Such photographs come with an issue regarding the address of the shown buildings, since the recording location of the camera may be known, but shows a spatial distance to the actual...

The evaluation of the quality of videos is posing a significant problem in research on video processing, including compression. Different algorithms and their modifications aim to improve the quality of the video, while keeping the necessary bitrate as low as possible, and every ti...

We propose a novel method to obtain a 3D model of a tree based on a single input image by fitting parameters for some procedural plant generator. Unlike other methods, our approach can work with any plant generator, treating it as a black-box function. It is&#...

Content generation is a heavy task in virtual worlds design. Procedural content generation techniques aim to agile this process by automating the 3D modelling with some degree of parametrisation. The novelty of this work is the procedural generation of the marine alga (Aspar...

There are over 285 million blind people in the world, with approximately 87% of them living in developing countries. However, in the third world countries, there is currently very little technology to help the visually impaired, especially with financial independence. In this...

It is estimated that breast cancer incidences will increase by more than 50% by 2030 from 2011. Mitosis counting is one of the most commonly used methods of assessing the level of progression, and is a routine task for every patient diagnosed with invasive cancer. Althoug...

The paper presents a study of a lossy compression impact on depth estimation and virtual view quality. Two scenarios were considered: the approach based on ISO/IEC 23090-12 coder-agnostic MPEG Immersive video standard, and the more general approach based on simulcast video c...

In this paper, the authors describe the real-time CPU-based implementation of the virtual view synthesis algorithm for high-resolution omnidirectional content. The proposed method allows a user of the immersive video virtually navigating within the scene captured by a multiview system ...

Rate-Distortion Optimized Quantization (RDOQ) is an encoding optimization technique that may be applied to any transform-based compression technique preserving bitstream compliance with the standard. In the paper, the application of the RDOQ to Motion JPEG is described and evaluated. The&#...

Many modern autonomous systems use disparity maps for recognition and interpretation of their environment. The depth information of these disparity maps can be utilised for point cloud generation. Real-time and high-quality processing of point clouds is necessary for reliable detection...

In the paper we convey the lessons learned along the path we have gone through several years since establishing a room-sized CAVE installation at our university, from craft manufacturing and ad-hoc software reuse of VR soft- ware products to the robust feature driven so...

In this article we propose a method of mesh compression and streaming, that can be used for real-time rendering applications. While most of other existing compression methods require decompression on CPU before rendering and streaming methods use only non-compressed models, our a...

This paper addresses the problem of using deep learning for makeup style transfer. For solving this problem, we propose a new supervised method. Additionally, we present a technique for creating a synthetic dataset for makeup transfer used to train our model. The obtained&#x...

With rapid advances in the field of deep learning, explainable artificial intelligence (XAI) methods were introduced to gain insight into internal procedures of deep neural networks. Information gathered by XAI methods can help to identify shortcomings in network architectures and ima...

Central venous catheters (CVC) are commonly inserted into the large veins of the neck, e.g. the internal jugu- lar vein (IJV). CVC insertion may cause serious complications like misplacement into an artery or perforation of cervical vessels. Placing a CVC under sonographic guidance ...

The fast classification of shapes is an important problem in shape analysis and of high relevance for many possible applications. In this paper, we consider the use of very fast and easy to compute statistical techniques for assessing shapes, which may for instance be&#...

Cardiac image segmentation is a powerful tool in regard to diagnostics and treatment of cardiovascular diseases. Purely feature-based detection of anatomical structures like the mitral valve is a laborious task due to specifically required feature engineering and is especially challenging&...