Figure 1: This sequence of water sloshing back and forth in an invisible tank demonstrates our cartoon rendering style for liquid animations. The sequence begins when the fluid is released from a cuboid shape, sloshes against the opposite wall, back against the first wall, and eventually settles on the ground. In this paper we present a visually compelling and informative cartoon rendering style for liquid animations. Our style is inspired by animations such as Futurama, 1 The Little Mermaid, 2 and Bambi 2. We take as input a liquid surface obtained from a three-dimensional physically based liquid simulation system and output animations that evoke a cartoon style and convey liquid movement. Our method is based on four cues that emphasize properties of the liquid’s shape and motion. We use bold outlines to emphasize depth discontinuities, patches of constant color to highlight near-silhouettes and areas of thinness, and, optionally place temporally coherent oriented textures on the liquid surface to help convey motion. CR Categories: I.3.7 [Computer Graphics]: Three-Dimensional Graphics and Realism—Animation;

Abstract — – The elucidation upon fly’s neuronal patterns as a link to computer graphics and human vision, is investigated for the phenomenon by propounding a unified theory of Einstein’s two known relativities. It is conclusive that flies could contribute a certain amount of neuromatrices indicating an imagery function based on a visual-computational system of n-artificial ommatidia into computer graphics and visual superimposition. The visual system involves the time aspect, whereas flies possess faster pulses compared to humans ’ visual ability due to charge Q’s E-field state on an active fly’s eye surface. This behaviour can be tested on a dissected fly specimen at its ommatidia. Electro-optical contacts and electrodes are wired through the flesh at the dorsal to the fly’s anterior, forming organic emitter layer to stimulate light emission, thereby to a computer circuit adjacent to artificial compound eyes. The next step is applying a threshold voltage with secondary voltages to the circuit denoting an array of essential electrodes for bit switch. As a result, dormant pulses of biochemical-electrical in some parts of the circuit versus active pulses of biovielectroluminescence relative to the specimen’s environment are recorded. The outcome matrix,

Fig. 1. Interactive virtual probe with flow visualization approaches, enabling exploration of cardiovascular 4D MRI blood-flow data. Color in the leftmost rendition encodes the blood-flow vorticity, while color in other renditions conveys the local blood-flow speed. Abstract—Better understanding of hemodynamics conceivably leads to improved diagnosis and prognosis of cardiovascular diseases. Therefore, an elaborate analysis of the blood-flow in heart and thoracic arteries is essential. Contemporary MRI techniques enable acquisition of quantitative time-resolved flow information, resulting in 4D velocity fields that capture the blood-flow behavior. Visual exploration of these fields provides comprehensive insight into the unsteady blood-flow behavior, and precedes a quantitative analysis of additional blood-flow parameters. The complete inspection requires accurate segmentation of anatomical structures, encompassing a time-consuming and hard-to-automate process, especially for malformed morphologies. We present a way to avoid the laborious segmentation process in case of qualitative inspection, by introducing an interactive virtual probe. This probe is positioned semi-automatically within the blood-flow field, and serves as a navigational object for visual exploration. The difficult task of determining position and orientation along the view-direction is automated by a fitting approach, aligning the probe with the orientations of the velocity field. The aligned probe provides an interactive seeding basis for various flow visualization approaches. We demonstrate illustration-inspired particles, integral lines and integral surfaces, conveying distinct characteristics of the unsteady blood-flow. Lastly, we present the results of an evaluation with domain experts, valuing the practical use of our probe and flow visualization techniques. Index Terms—Probing, Flow visualization, Illustrative visualization, Multivalued images, Phase-contrast cine MRI. 1

There are many applications for which it is necessary to illustrate motion in a static image using visual cues which do not represent a physical entity in the scene, yet are widely understood to convey motion. For example, consider the task of illustrating the desired movements for exercising, dancing, or a given sport technique. Traditional artists have developed techniques to specify desired movements precisely (technical illustrators) and suggest motion (cartoonists) in an image. In this paper, we present an interactive system to synthesize a 2D image of an animated character by generating artist-inspired motion cues derived from 3D skeletal motion capture data. The primary cues include directed arrows, noise waves, and stroboscopic motion. First, the user decomposes the animation into short sequences containing individual motions which can be represented by visual cues. The system then allows the user to determine a suitable viewpoint for illustrating the movement, to select the proper level in the joint hierarchy, as well as to fine-tune various controls for the depiction of the cues themselves. While the system does provide adapted default values for each control, extracted from the motion capture data, it allows fine-tuning for greater expressiveness. Moreover, these cues are drawn in real time, and maintain a coherent display with changing viewpoints. We demonstrate the benefit of our interactive system on various motion capture sequences.

This paper introduces interaction mechanisms for conveying temporal characteristics of time-varying volume data based on temporal styles. We demonstrate the flexibility of the new concept through different temporal style transfer function types and we define a set of temporal compositors as operators on them. The data is rendered by a multi-volume GPU raycaster that does not require any grid alignment over the individual time-steps of our data nor a rectilinear grid structure. The paper presents the applicability of the new concept on different data sets from partial to full voxel alignment with rectilinear and curvilinear grid layout. 1.

In this paper, we provide an overview of SwarmVis, a tool for visualizing swarm systems. SwarmVis integrates several visualization techniques to create informative still images and videos of swarm systems moving through two- and three- dimensional space. SwarmVis allows swarm researchers to observe characteristics of swarm systems by visualizing information about such systems. We provide an overview of the types of information relevant to current swarm research and explain, in detail, the capabilities of SwarmVis to visualize this information. Finally, we demonstrate how SwarmVis can be used to analyze both the local agent and global swarm behaviors of multi-agent systems. 1

Abstract. Visualization has become an indispensable tool for scientists to extract knowledge from large amounts of data and convey that knowledge to others. Visualization may be exploratory or illustrative. Exploratory visualization generally provides multiple views of the data at different levels of abstraction and should be highly interactive, whereas illustrative visualization is often made offline at high quality with sufficient knowledge about the data and features of interest. Techniques used by professional illustrators may be borrowed to enhance the clarity and aesthetics of the visualization. This paper presents a set of visualization techniques for presenting the evolution of 3D flow. While the spatial features of the data is rendered in 3D space, the temporal behaviors of the flow are depicted using image-based methods. We demonstrate visualization results generated using three data sets obtained from simulations. Key words: volume visualization, time-varying data visualization, image processing, evolution drawing, non-photorealistic rendering 1

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Interactive visualization is widely used in many applications for efficient representation of complex data. Many techniques make use of the focus+context approach in a static manner. These techniques do not fully make use of the interaction semantics. In this paper we present a dynamic focus+context approach that highlights salient features during user interaction. We explore rotation, panning, and zooming interaction semantics and propose several methods of changing visual representations, based on a suggested engagement-estimation method. We use DVR-MIP interpolation and a radial opacity-change approach, exploring rotation, panning, and zooming semantics. Our approach adds short animations during user interaction that help to explore the data efficiently and aid the user in the detection of unknown features.

Cardiovascular morphology is significantly influenced by the unsteady behavior of flowing blood. Insight into the hemodynamics promises valuable diagnostic information for various cardiovascular diseases (CVD). At