TL;DR: This survey presents an overview on the subject of color scales by focusing on important guidelines, experimental research work and tools proposed to help non-expert users.

TL;DR: The proposed approach aims to organize multiple representations (and associated information) around a semantic description model with the goal of defining a system for the multi-field analysis of buildings.

TL;DR: A novel declarative modeling approach that enables designers to concentrate on stating what they want to create instead of on describing how they should model it, and which represents a significant step towards providing more user control and flexibility in procedural modeling of virtual worlds.

TL;DR: An interactive segmentation method for 3D medical images that reconstructs the surface of an object using energy-minimizing, smooth, implicit functions called variational interpolation is presented and how to speed up the algorithm to achieve almost real-time calculation times while preserving the overall segmentation quality is shown.

TL;DR: This report presents a multiview reconstruction tool chain composed from various freely available, open source components and a practical application example in the form of a 3D model of an archaeological site.

TL;DR: A robust and blind watermarking algorithm for three-dimensional (3D) meshes that embeds the watermark through a modified scalar Costa quantization of the zero-order volume moments of some selected candidate patches.

TL;DR: This special section contains seven papers on mobile AR, covering a range of topics from tracking, user studies, visualization, and collaborative applications.

TL;DR: An extended PIA (EPIA) format is developed, which allows that the number of the control points is less than that of the given data points, and which has great potential in large scale data fitting.

TL;DR: This proposed completion framework will iteratively conduct symmetry-based and template-based repairs and will greatly benefit subsequent archeological and anthropological processing and analysis.

TL;DR: It was found that micro-CT could produce accurate high-resolution ''virtual'' artefacts that resolve features greater than [email protected] and it was possible to visualise the key features of percussion, which distinguish intentionally made flakes from natural breakage.

TL;DR: Aroundplot is presented, a novel focus+context interface for providing multiple location cues for off-screen objects in an immersive 3D environment that could find the target object for a given location cue faster and more accurately with Aroundplot than with a top-down 2D radar.

TL;DR: An out-of-core editing system for point clouds, which allows selecting and modifying arbitrary parts of a huge point cloud interactively, and an algorithm to alleviate the artifacts when rendering a point cloud with large discrepancies in density in different areas by estimating point sizes heuristically.

TL;DR: A probabilistic framework is introduced in which the segmentation and the correspondences of neighboring feature points allow us to enhance or moderate the authors' certainty of a feature-point similarity.

TL;DR: The insight is that the use of quasi-uniform mesh sampling, an interesting option now that very large meshes can be edited and displayed in real-time, provides the right framework for expressing and efficiently processing arbitrary changes of topological genus.

TL;DR: This paper presents a novel algorithm of mesh segmentation from original scanning data points, which essentially consists of three steps: normal based initial decomposing, further segmentation based on curvature criteria and Gauss mapping, followed by the detection of quadric surface features.

TL;DR: An efficient and robust method based on the culling approach for computing the minimum distance between two Bezier curves or Beziers surfaces is presented.

TL;DR: An iterative algorithm to seek for the optimal polycube domain and mapping, with the constraint on using a restricted number of cubes, and an effective optimization framework to compute polycube mapping are presented.

TL;DR: By re-defining the surface metric as its equi-affine version, the surface with its modified metric tensor can be treated as a canonical Euclidean object on which most classical Euclidesan processing and analysis tools can be applied.

TL;DR: This paper identified four grand challenges which synthesise the open issues in common to the considered fields and represent a roadmap towards semantic 3D media and gives an overview of the various aspects of semantics required to optimise tasks and processes related to 3D content in different application domains.

TL;DR: This work introduces a caricature tool that interactively emphasizes the differences between two three-dimensional meshes, represented in the manifold harmonic basis of the shape to be caricatured, providing intrinsic controls on the deformation and its scales.

TL;DR: This work interactsively reduce the amount of geometry needed to represent the foliage through a view-dependent multiresolution scheme, and introduces a new management system for efficiently handling level of detail objects in order to improve performance for forest scenes.

TL;DR: In this article, an example-based approach to synthesize stipple illustrations for static 2D images that produces scale-dependent results appropriate for an intended spatial output size and resolution is presented.

TL;DR: A fast model of the cardiac electrophysiology based on an eikonal formulation implemented with an anisotropic fast marching method is proposed and demonstrated in the context of a simulator of radio-frequency ablation of cardiac arrhythmia from patient-specific medical imaging data.

TL;DR: The number of matching candidates is reduced to achieve fast camera parameters estimation by tentative camera parameter estimation and by assigning priorities to landmarks, and image templates of landmarks are adequately compensated for by considering the local 3-D structure of a landmark using the dense depth information obtained by a laser range sensor.

TL;DR: This work introduces a new geometric weighted average of two sets, defined for positive weights and when one weight is negative (corresponding to extrapolation) and used to interpolate between cross-sections of a 3D object in a piecewise way.

TL;DR: This paper presents a pipeline that enables interactive visual exploration and semi-automatic segmentation and classification of CEUS data, and proposes a robust method to derive expressive enhancement measures from small spatio-temporal neighborhoods.

TL;DR: This paper presents a method that identifies staircase artifacts which result from image inhomogeneities and binary segmentation in medical image data for subsequent removal by adaptive mesh smoothing, and proves the general suitability of context-aware smoothing.

TL;DR: This work base their approach to computing 3D shape complexity on the (dis)similarity matrix of the shape's 2D views, and introduce measures to compute shape complexity through point dispersion in the resulting MDS plot.

TL;DR: The proposed method takes advantage of using a new technique for the capture and recognition of a robust sample of projective invariant patterns, which allows to capture simultaneously more than one invariant pattern in the tracking area and recognize each pattern individually as well as each marker that composes them.