Path tracing has become a de facto standard for photo-realistic rendering due to its conceptual and algorithmic simplicity. Over the last few years, it has been successfully applied to the rendering ...of participating media, although it has not seen widespread adoption. Most implementations are targeted at specific platforms or hardware, which makes them difficult to deploy or extend. However, recent advancements in web technologies enable us to access graphics hardware from a web browser in a platform-agnostic manner. Therefore, in this paper, we present an implementation of a state-of-the-art volumetric path tracer developed in JavaScript using WebGL 2.0. The presented solution supports the use of arbitrary 2D transfer functions and heterogeneous volumetric data, aims to be interactive, platform-agnostic, easily extensible, and runs in real-time - both on desktop and mobile devices.
The paper presents our web-based 3D medical data visualization framework with emphasis on user collaboration. The framework supports visualization of volumetric data and 3D meshes in web browsers. ...The paper focuses on integration of user-shareable 3D view-aligned hand drawn or written annotations into the visualization framework. Annotations are created on separate transparent canvases which are aligned with selected views. View parameters are part of annotations and can be shared with other users over the network. Our implementation allows for real-time sharing of annotations during creation. Annotations from the same or different users can be overlaid within the same view. Annotations were implemented through adaptation of the framework's rendering pipeline, which allows for combining multiple visualization layers into a unified final render. View aligned annotations were added in addition to text annotations pinned to 3D locations on the displayed model. In the framework, users can list through all annotations, whereby upon selection of a 3D view-aligned annotation the camera is positioned according to the stored parameters and the annotation is displayed.
The paper addresses the task of automatic audio chord estimation using stacked generalization of multiple classifiers over Hidden Markov model (HMM) estimators. We evaluated two feature types for ...chord estimation: a new compositional hierarchical model and standard chroma feature vectors. The compositional hierarchical model is presented as an alternative deep learning approach. Both feature types are further modelled with two separate Hidden Markov models (HMMs) in order to estimate chords in music recordings. Further, a binary decision tree and support vector machine are proposed binding the HMM estimations into a new feature vector. The additional stacking of the classifiers provides a classification boost by 17.55% with a binary decision tree and and 21.96% using the support vector machine.
In this paper we present a proof-of-concept implementation of fast volumetric data segmentation, conversion to polygonal mesh geometry and rendering. All parts of the method are implemented on the ...graphical processing unit, which allows high degree of parallelization. Implementations of presented algorithms are done in the OpenCL framework and are integrated in blood vessel visualisation software Neck Veins. This paper presents where and to what degree parts of method can be parallelized. In results we also show to what degree we can speed-up the implementation by using parallel computing power of the graphical processing units.
This study presents an evaluation of two interfaces for gathering user feedback in online surveys. We evaluated the intuitiveness, usability and time complexity of the proposed interfaces in ...comparison to the more standard approaches. Over 900 users first participated in an online survey exploring the influence of mood on their emotional responses to music and colors. We included several new interfaces in this survey, so after it was completed, users were asked to complete a second survey where they evaluated various aspects of the interfaces. Our analysis shows reduced time complexity and increased intuitiveness of the new interfaces, compared to standard approaches, resulting in lower mental difficulty and frustration of participants.
