Abstract:Multiuser can collaboratively complete complex visualization tasks that cannot be completed by a single user. Although multiuser collaboration system has made great progress, there are many challenges in the collaborative visualization of 3D volumetric scientific data due to the difficulties in multiuser collaboration, and collaborative slice analysis. This article proposes a client‐server based collaborative visualization system, which consists of a 3D volume explorer and a 2D slice analyzer, to help domain e… Show more
“…Transfer function, which is an interactive analysis method, enables users to select RGBA values of different hardness values, so as to obtain the final interpretation effect [10]. According to the terms of dimensionality, we can easily classify data-centric transfer functions into one-dimensional, two-dimensional, and higher-dimensional forms.…”
Section: Data-centric Transfer Functionsmentioning
Underground flow paths (UFP) often play an important role in the illustration of geological data by geologists, especially in illustrating geological data and revealing stratigraphic structures, which can help domain experts in their exploration of petroleum information. In this paper, we present a new immersive visualization tool to help domain experts better illustrate stratigraphic data. We use a visualization method based on bit-array-based 3-D texture to represent stratigraphic data. Our visualization tool has three major advantages: it allows for flexible interaction at the immersive device, it enables domain experts to obtain their desired UFP structure through the execution of quadratic surface queries, and supports different stratigraphic display modes, as well as switching and integration geological information flexibly. Feedback from domain experts has shown that our tool can contribute more for domain experts in the scientific exploration of stratigraphic data, compared to the existing UFP visualization tools in the field. Thus, experts in geology can have a more comprehensive understanding and more effective illustration of the structure and distribution of UFPs.
“…Transfer function, which is an interactive analysis method, enables users to select RGBA values of different hardness values, so as to obtain the final interpretation effect [10]. According to the terms of dimensionality, we can easily classify data-centric transfer functions into one-dimensional, two-dimensional, and higher-dimensional forms.…”
Section: Data-centric Transfer Functionsmentioning
Underground flow paths (UFP) often play an important role in the illustration of geological data by geologists, especially in illustrating geological data and revealing stratigraphic structures, which can help domain experts in their exploration of petroleum information. In this paper, we present a new immersive visualization tool to help domain experts better illustrate stratigraphic data. We use a visualization method based on bit-array-based 3-D texture to represent stratigraphic data. Our visualization tool has three major advantages: it allows for flexible interaction at the immersive device, it enables domain experts to obtain their desired UFP structure through the execution of quadratic surface queries, and supports different stratigraphic display modes, as well as switching and integration geological information flexibly. Feedback from domain experts has shown that our tool can contribute more for domain experts in the scientific exploration of stratigraphic data, compared to the existing UFP visualization tools in the field. Thus, experts in geology can have a more comprehensive understanding and more effective illustration of the structure and distribution of UFPs.
“…In the learning situations, the teacher usually explains the phenomena or operation, and other participants will be observing a demonstration, but a true collaboration with active participants can also be arranged. Luxenburger et al [23] demonstrated a system where the participants studied shared electronic patient records in VR and Liu et al [24] had a collaborative VR system where several domain experts can study the same medical data. Butnaru and Girbacia [25] explored collaborative bone surgery planning in a tele-immersive environment with networked Cave Automatic Virtual Environment (CAVE) systems and other stereoscopic desktop displays.…”
Three-dimensional (3D) medical images are used for diagnosis and in surgical operation planning. Computer-assisted surgical simulations (CASS) are essential for complex surgical procedures that are often performed in an interdisciplinary manner. Traditionally, the participants study the designs on the same display. In 3D virtual reality (VR) environments, the planner is wearing a head-mounted display (HMD). The designs can be then examined in VR by other persons wearing HMDs, which is a practical use case for the medical metaverse. A multi-user VR environment was built for the planning of an orthognathic–surgical (correction of facial skeleton) operation. Four domain experts (oral and maxillofacial radiologists) experimented with the pilot system and found it useful. It enabled easier observation of the model and a better understanding of the structures. There was a voice connection and co-operation during the procedure was natural. The planning task is complex, leading to a certain level of complexity in the user interface.
“…Recent decades have seen a growing interest and demand for human-centered collaborative systems, [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15] which allow people to work together and achieve the same goals over computer networks. One of the most popular human-centered collaborative systems is real-time collaborative editors (co-editors).…”
Co-editors are a class of human-centered collaborative systems that allow multiple geographically dispersed people to freely and concurrently edit shared documents at the same time over networks. The most important building co-editors technique is consistency maintenance. Even though OT (operational transformation) is a widely adopted consistency maintenance technique, researchers and practitioners have persistently explored alternative techniques to OT. One of the representative techniques is AST (Address Space Transformation), which replaces OT's transformation components with basic manipulation on an additional object sequence. However, the additional object sequence causes an unbounded metadata overhead problem. To solve the problem, this work proposes an optimized AST algorithm called ASTO, which is equipped with a specially designed self-compressing object sequence. ASTO can automatically compress the object sequence and keep the metadata overhead under control.The effectiveness and feasibility of ASTO are verified by simulation experiments and a publicly accessible prototype system.
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