Associate Professor, University of Utah
In this paper, ten key challenges and their implications for CAD cyber education are discussed. The purpose of this paper is not to provide a dismal outlook for cyberlearning, but to incite discussion, research, and development into these areas with the anticipation of a viable and attractive alternative to traditional classroom education.
Continue readingIn this paper, we propose a new framework to implement visualization peer review in the classroom to engage students. This framework can be customized for incremental and double-blind review to inspire students and reinforce critical thinking about visualization.
Continue readingA hybrid solution to calculating augmented join trees of 2d scalar fields in parallel Paul Rosen, Junyi Tu, and Les Piegl
Continue readingThis patent describes a technique for visualization of the movement of data within a computer for software optimization.
Continue readingThe topological notion of robustness introduces mathematically rigorous approaches to interpret vector field data. Robustness quantifies the structural stability of critical points with respect to perturbations and has been shown to be useful for increasing the visual interpretability of vector fields. We define a new Galilean invariant robustness framework that enables the simultaneous visualization of robust critical points across the dominating reference frames in different regions of the data.
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In this paper, we investigate a point cloud-based approach to direct slicing of NURBS-based models. It uses the original NURBS model and converts the model into a point cloud based on layer thickness and accuracy requirements for direct slicing.
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We propose a new data scalable design for representing and exploring data relationships in PCPs. The approach exploits the point/line duality property of PCPs and a local linear assumption of data to extract and represent relationship summarizations. This approach simultaneously shows relationships in the data and the consistency of those relationships.
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In this paper, we propose a novel technique for analyzing multiway dependencies through an overview+detail visualization. In this approach, the overview represents all pairwise, 3-, and 4-way dependencies in the data using glyphs that provide a global visual exploration interface for selecting candidate relationships.
Continue readingPoint cloud-based datasets have been critical to a number of research communities, including graphics, robotics, and CAD because in many ways, points better represent many data sources than triangulations. Visualizing points on remote devices remains somewhat problematic to this day. Very large datasets have the problem of needing to be transmitted, have any data structures built locally, and rendered on the local machine. This paper addresses the question of what’s the point in rendering billions of points, when the display only has 2 million pixels?
Continue readingPoint cloud computation for object slicing in 3-d printing William Oropallo, Les A. Piegl, Paul Rosen, and Khairan Rajab In CAD Conference
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