We present a new method for creating n-dimensional rotation matrices from manipulating the projections of n-dimensional data coordinate axes onto a viewing plane. A user interface for n-dimensional rotation is implemented. The interface is shown to have no rotational hysteresis. 1 Introduction Many techniques for visualizing n-dimensional data sets separate the data into its component dimensions, allowing the user to look at various coordinate combinations in a way that hopefully brings understanding. These methods do well at avoiding the traditional projection to two dimensions that hides data. However the data relationships are not immediately intuitive to our brains, which are used to transforming large amounts of information from thre...
This article concerns the benefits of presenting abstract data in 3D. Two experiments show that moti...
Best Paper AwardInternational audienceScatterplots remain one of the most popular and widely-used vi...
Multidimensional projections map data points, defined in a high-dimensional data space, into a 1D, 2...
When visually exploring a multidimensional dataset with a 2D visualization (e.g. scatterplots), us-e...
High-dimensional data is challenging to visualize. To gain some insight in the field, there has been...
Transformations are integral part of graphics programs for visualization. Rotation transformations a...
We introduce a set of integrated interaction techniques to interpret and interrogate dimensionality-...
This paper investigates a design for a new form of interactivity with information projected onto a s...
Two dimensions plane, angle, rotationThis Demonstration allows you to explore some of the features o...
Part 1: Long and Short PapersInternational audienceExploring a multidimensional dataset with visuali...
In an experiment input methods for object rotation with differing degrees of freedom were assessed. ...
Many people interact with scientific data by means of 2D or 3D representations such as scatterplots....
Displaying multidimensional information has always been a challenge. Projecting multiple dimensions ...
Purpose. We investigate the processing of visual information about rotations in three-dimensional sp...
We report results from a formal user study of interactive 3D rotation using the mouse-driven Virtual...
This article concerns the benefits of presenting abstract data in 3D. Two experiments show that moti...
Best Paper AwardInternational audienceScatterplots remain one of the most popular and widely-used vi...
Multidimensional projections map data points, defined in a high-dimensional data space, into a 1D, 2...
When visually exploring a multidimensional dataset with a 2D visualization (e.g. scatterplots), us-e...
High-dimensional data is challenging to visualize. To gain some insight in the field, there has been...
Transformations are integral part of graphics programs for visualization. Rotation transformations a...
We introduce a set of integrated interaction techniques to interpret and interrogate dimensionality-...
This paper investigates a design for a new form of interactivity with information projected onto a s...
Two dimensions plane, angle, rotationThis Demonstration allows you to explore some of the features o...
Part 1: Long and Short PapersInternational audienceExploring a multidimensional dataset with visuali...
In an experiment input methods for object rotation with differing degrees of freedom were assessed. ...
Many people interact with scientific data by means of 2D or 3D representations such as scatterplots....
Displaying multidimensional information has always been a challenge. Projecting multiple dimensions ...
Purpose. We investigate the processing of visual information about rotations in three-dimensional sp...
We report results from a formal user study of interactive 3D rotation using the mouse-driven Virtual...
This article concerns the benefits of presenting abstract data in 3D. Two experiments show that moti...
Best Paper AwardInternational audienceScatterplots remain one of the most popular and widely-used vi...
Multidimensional projections map data points, defined in a high-dimensional data space, into a 1D, 2...