IEEE Computer Graphics and Applications最新文献

In 3D model scanning, the raw texture of a 3D model often requires segmentation into distinct regions to apply different material properties to each region. Current methods, such as manual segmentation, are labor-intensive, while automatic segmentation techniques lack user control. We propose an interactive tool that combines automatic segmentation with minimal manual intervention, striking an optimal balance between efficiency and control. Following a multiview automatic segmentation process that divides the texture into small subsegments, users cluster the subsegments into segments by drawing simple scribbles in the 3D model view. We show that our approach results in more detailed subsegments compared to automatic segmentation approaches. Furthermore, a user study confirms that our approach improves segmentation accuracy and quality compared to manual segmentation with standard 3D computer graphics software. This research paves the way to more efficient texture segmentation in 3D model scanning.

Research has shown that an audiences' age impacts their engagement in digital media. Interactive narrative visualization is an increasingly popular form of digital media that combines data visualization and storytelling to convey important information. However, audience age is often overlooked by interactive narrative visualization authors. Using an established visualization engagement questionnaire, we ran an empirical experiment where we compared end-user engagement to audience age. We found a small difference in engagement scores where older age cohorts were less engaged than the youngest age cohort. Our qualitative analysis revealed that the terminology and overall understanding of interactive narrative patterns integrated into narrative visualization was more apparent in the feedback from younger age cohorts relative to the older age cohorts. We conclude this paper with a series of recommendations for authors of interactive narrative visualization on how to design inclusively for audiences according to their age.

In this article, we share an image library of anthropomorphic motifs found in the traditional patterns of the Li ethnic group, an indigenous population living on the island of Hainan, China. Existing pattern databases of the motifs lack visual coherence and accessibility for nonexperts. Our image-based framework enhances accessibility for artists and visual users through visual search features intended to facilitate easier understanding of multilayered patterns. This study applies semantic analysis and image processing algorithms to identify and deconstruct key elements within the motifs. We also present a modern redesign of these motifs for cultural innovation, offering new avenues for design in application.

Resource allocation problems touch almost every aspect of modernity. We examine communication bandwidth optimization and negotiation in NASA's early stage Mars Sample Return (MSR) mission, which places multiple robots into a single region on Mars. We present a design study conducted over two years at the NASA Jet Propulsion Laboratory with MSR, which characterizes the design and evaluation of the deployed MarsIPAN schedule browser. We find that MarsIPAN changes the schedule analysis process, providing new insight into how bandwidth is allocated and enabling individual spacecraft teams to openly negotiate for scarce resources. This visibility leads to changes in how spacecraft teams apportion bandwidth, plan staffing, and organize and share resources. We reflect on the design study methodology as revealing, documenting, and supporting existing communication processes and software infrastructure within knowledge-intensive organizations.

Plume visualization is essential for unveiling the dynamics of hydrothermal systems. This article introduces an interactive exploration tool, PlumeViz, designed to facilitate the extraction and visualization of multifaceted plume characteristics from data collected by a sonar device. The tool addresses the challenges posed by undersampled volume data and intricate plume structures by providing an interactive platform for plume identification, visual representation, and analysis. Key functionalities of PlumeViz encompass comprehensive plume evolution, plume feature extraction, and in-depth exploration of specific regions of interest. We demonstrate the efficacy of PlumeViz in visualizing hydrothermal plumes through a case study and a range of illustrative results.

This article presents the urban data visualization (UDV) card deck, a tool designed to facilitate reflective discussions and inform the collaborative design process of urban data visualization. The UDV card deck was developed to bridge the gap between theoretical knowledge and practice in workshop settings, fostering inclusive and reflective approaches to visualization design. Drawing from urban visualization design literature and the results from a series of expert workshops, these cards summarize key considerations when designing urban data visualizations. The card deck guides different activities in an engaging, collaborative, and structured format, promoting inclusion of diverse urban actors. We introduce the card deck and its goals, demonstrate its use in four case studies, and discuss our findings. Feedback from workshop participants indicates that the urban data visualization card deck can serve as a supportive and reflective tool for urban data visualization researchers, designers, and practitioners.

Virtual self-representations, commonly known as avatars, play a critical and often underexplored role in the design and effectiveness of educational games. This article explores various dimensions of avatar design and their impact on educational game outcomes. We examine how an avatar's voice can influence player identification, how certain colors can distract from educational material, and how the presence of a digital role model of a similar ethnic background and gender can help drive interaction. In addition, this article addresses scenarios where avatar identification might be less desirable. Specifically, when players struggle, our data suggest that abstract avatars might be more beneficial than humanoid avatars. These insights can help lead to the design of more effective educational games.

The interactive modeling of 3-D shapes is an important application of computer graphics. A versatile and interactive method for anisotropic shape deformation is cage-based deformation. We have released the CageModeler open-source project to provide the computer graphics community with a large collection of the most relevant methods for cage-based deformation. To facilitate practical use and future research, our project provides an extensible tool for interactive modeling. Our project is designed for collaborative open-source development, in order to enable researchers to implement their own methods building upon our project. In addition, our project includes evaluation functionality to investigate performance metrics, such as run time or local deformation influence. In this article, we present and review the design of our software in the light of open-source development. Important key aspects of our software design are automated dependence management, usage of available open-source libraries, and modular code design. To reflect on our design choices, we describe our lessons learned during the development process.

Earth, our home planet, is changing at an unprecedented rate due to human industrial activity. Data visualization can uniquely illuminate these complex transformations by revealing hidden patterns, thereby translating abstract data into compelling narratives and increased understanding. How can we harness visualization's full potential to inform and inspire our generation toward environmental awareness and stewardship? This article reports on insights and key challenges from the 2024 IEEE VIS workshop on climate action and sustainability whose submissions paint a rich picture of the current, yet still nascent, landscape of how the field of visualization can help empower people to take meaningful steps toward environmental stewardship. Drawing from the presented works and the collective workshop discussions, we propose future research directions and invite the visualization community, both researchers and practitioners, to join this vital effort in addressing one of our planet's greatest challenges.

This article proposes a novel approach to address the need for visual analysis tools in the transportation domain. Transportation planners require a tool to understand the interplay between vehicles, personnel, transported goods, and routes dynamically over time. Existing tools focus on map visualizations and are limited to animations when depicting changes over time in large amounts of data. We propose a design built from three views: absolute, relative, and topological, each showing a different data facet. We show how transport planners' trust in optimization algorithms can be achieved and how the same tool can be used to develop the optimization algorithm further.