Showing papers in "Computers & Graphics in 2012"

TL;DR: A detailed review of the DoG operator and its extensions is offered, highlighting useful relationships to other image processing techniques and presenting many new results spanning a variety of styles, including pencil-shading, pastel, hatching, and woodcut.

TL;DR: This review of the state-of-the-art virtual environments for ball sports focuses on just ball sports, and was carried out as part of a current project developing training tools for rugby.

TL;DR: A novel platform is proposed to flexibly synthesize any arbitrary meaningful facial expression in the absence of actor performance data for that expression by extracting from the random noise the perceptually relevant expression parameters.

TL;DR: A new objective metric is proposed for the visual quality assessment of 3D meshes based on a mesh local roughness measure derived from Gaussian curvature that can predict the extent of the visual difference between a reference mesh and a distorted version.

TL;DR: An enhanced telepresence system that offers fully dynamic, real-time 3D scene capture and continuous-viewpoint, head-tracked stereo 3D display without requiring the user to wear any tracking or viewing apparatus is described.

TL;DR: A user study comparing navigation with information typically provided by currently available handheld AR browsers, to navigation with a digital map, and a combined map and AR condition found no overall difference in task completion time, but found evidence that AR browsers are less useful for navigation in some environment conditions.

TL;DR: An up-to-date overview of the current state-of-the-art flow visualization techniques, including surface construction techniques and visualization methods applied to surfaces, with a focus on surface-based techniques.

TL;DR: The proposed crowd modeling method is free-of-collision, simple to implement, robust, computationally efficient, and suited to the interactive control of simulated crowds.

TL;DR: A novel parallel algorithm for computing the convex hull of a set of points in 3D using the CUDA programming model based on the QuickHull approach and starts by constructing an initial tetrahedron using four extreme points, discards the internal points, and distributes the external points to the four faces.

TL;DR: A hybrid algorithm to compute the convex hull of points in three or higher dimensional spaces using a GPU-based interior point filter to cull away many of the points that do not lie on the boundary and a pseudo-hull that is contained inside the conveX hull of the original points is computed.

TL;DR: The Augmented Reflection Technology (ART) system provides an augmented reality environment that contributes to this increasingly rich area of research and presents the first qualitative evidence for the utility of the approach and system for stroke recovery and motor rehabilitation.

TL;DR: A new algorithm for the progressive compression of manifold polygon meshes that combines vertex removal and local remeshing, and includes two methods that improve the rate-distortion performance: a wavelet formulation with a lifting scheme and an adaptive quantization technique.

TL;DR: The results show that the presented method highly improves the illusion in mixed-reality applications and significantly diminishes the artificial look of virtual objects superimposed onto real scenes.

TL;DR: A new shape skeleton pruning algorithm based on contour approximation and the integer medial axis that effectively removes unwanted branches, conserves the connectivity of the skeleton and respects the topological properties of the shape.

TL;DR: A video summarization approach that automatically extracts and visualizes movie storylines in a static image for the purposes of efficient representation and quick overview and can be used to assist viewers to understand video contents when they are familiar with the context of the video or when a text synopsis is provided.

TL;DR: An automatic hole-filling method that first extracts the feature vertices around a hole of a CAD model and classify them into different feature sets to produce missing feature curves and corners, which is suitable for CAD systems.

TL;DR: A method enabling the evaluation of inertial-sensor aided visual tracking methods without real inertial sensor data is proposed, and a gravity-adaptive approach that performs image-rectification only when beneficial is developed.

TL;DR: An algorithm to generate point distributions with high-quality blue noise characteristics on discrete surfaces based on the concept of Capacity-Constrained Surface Triangulation (CCST), which approximates the underlying continuous surface as a well-formed triangle mesh with uniform triangle areas.

TL;DR: Novel concepts for the intuitive and interactive handling of complex procedural grammars allowing even amateurs and non-programmers to easily modify and combine existing procedural models that are not limited to the subdivision of boxes are presented.

TL;DR: This paper proposes a new method for solving inverse lighting design problems that can include diverse sources such as diffuse roof skylights or artificial light sources, using a metaheuristic technique for optimization.

TL;DR: Gaze data revealed that NPR rendering of images might reduce emotional response to an image by producing confusion, creating distracting visual artifacts, causing the loss of meaningful semantic information, or causing users to lose interest in the resulting image.

TL;DR: This special section is pleased to present extended versions of the best research papers from this 2011 CAe 2011, and includes 10 papers, covering a broad range of topics associated with expressive aesthetics, depiction, interaction, and modeling.

TL;DR: It is concluded that using the TD error term and the SD error term leads to surface fitting algorithms that converge much faster than using the PD error term.

TL;DR: A new algorithm for compressing surfaces created from oriented points, sampled using a laser range scanner or created from polygonal surfaces is presented, providing a progressive encoding technique that encodes the octree structure as well as the plane equations.

TL;DR: This work presents an algorithm for reconstruction of 3D polygonal models from scanned urban facades using a set of specific grammar rules and a dictionary of basic shapes that regularize the problem space while still offering a flexible model.

TL;DR: A new framework for rendering large-scale forest scenes realistically and quickly that integrates extracting level of detail (LOD) tree models, rendering real-time shadows for large- scale forests, and transmitting forest data for network applications is presented.

TL;DR: This work proposes an approach to perform statistical shape analysis in a posture-invariant way based on a local representation that is obtained using the Laplace operator.

TL;DR: A new operator for detecting step edges is developed, which outperforms the existing edge detectors in terms of feature preservation and edge localization and can produce more attractive and impressive line illustrations with a variety of photographs.

TL;DR: A new 3D surface modeling approach that enables curve-based creation and modification of smooth surfaces by sketching, thus eliminating the need for a laborious, iterative adjustment of the curve network for smooth surface creation.

TL;DR: This paper seeks to optimize shape preservation with a generalization of the Cauchy-Riemann equations to optimization of volumetric conformal optimization, which is fast and easily adaptable to existing harmonic mapping methods.