7,984 Works

Style-aware Robust Color Transfer

Hristina Hristova, Olivier Le Meur, Rémi Cozot & Kadi Bouatouch
Transferring features, such as light and colors, between input and reference images is the main objective of color transfer methods. Current state-of-the-art methods focus mainly on the complete transfer of the light and color distributions. However, they do not successfully grasp specific light and color variations in image styles. In this paper, we propose a local method for carrying out a transfer of style between two images. Our method partitions both images to Gaussian distributed...

Semi-Automatic Digital Epigraphy from Images with Normals

Sema Berkiten, Xinyi Fan & Szymon Rusinkiewicz
We present a semi-automated system for converting photometric datasets (RGB images with normals) into geometry-aware non-photorealistic illustrations that obey the common conventions of epigraphy (black-and-white archaeological drawings of inscriptions). We focus on rock inscriptions formed by carving into or pecking out the rock surface: these are characteristically rough with shallow relief, making the problem very challenging for previous line drawing methods. Our system allows the user to easily outline the inscriptions on the rock surface,...

SVM-based Sketch Recognition: Which Hyperparameter Interval to Try?

Kemal Tugrul Yesilbek, Cansu Sen, Serike Cakmak & T. Metin Sezgin
Hyperparameters are among the most crucial factors that affect the performance of machine learning algorithms. In general, there is no direct method for determining a set of satisfactory parameters, so hyperparameter search needs to be conducted each time a model is to be trained. In this work, we analyze how similar hyperparameters perform across various datasets from the sketch recognition domain. Results show that hyperparameter search space can be reduced to a subspace despite differences...

MatCap Decomposition for Dynamic Appearance Manipulation

Carlos Jorge Zubiaga, Adolfo Muñoz, Laurent Belcour, Carles Bosch & Pascal Barla
In sculpting software, MatCaps (a shorthand for "Material Capture") are often used by artists as a simple and efficient way to design appearance. Similar to LitSpheres, they convey material appearance into a single image of a sphere, which can be easily transferred to an individual 3D object. Their main purpose is to capture plausible material appearance without having to specify lighting and material separately. However, this also restricts their usability, since material or lighting cannot...

GPU-based Out-of-Core HLBVH Construction

Mahmoud Zeidan, Taymoor Nazmy & Mostafa Aref
Recently the GPU has been used extensively in building indexing structures for moderately complex scenes that fit inside the GPU core. However, only few methods have been developed for constructing indexing structures for massive models larger than GPU memory. In this paper, we present an out-of-core HLBVH algorithm, a new method for constructing spatial hierarchies suitable for massive models that cannot fit into GPU device memory. A key insight of our method is how to...

EnvirVis 2015 Workshop on Visualisation in Environmental Sciences

Karsten Rink, Ariane Middel & Gunther Weber

EuroRV3 2015 EuroVis Workshop on Reproducibility, Verification, and Validation in Visualization

Paul Rosenthal, Wolfgang Aigner & Carlos Scheidegger

EG PGV 2015 - Eurographics Symposium on Parallel Graphics and Visualization

Carsten Dachsbacher & Paul Navrátil

Learning Geometric Primitives in Point Clouds

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Symposium on Geometry Processing 2014 - Posters

Partial 3D Object Retrieval combining Local Shape Descriptors with Global Fisher Vectors

Michalis A. Savelonas, Ioannis Pratikakis & Konstantinos Sfikas
This work introduces a partial 3D object retrieval method, applicable on both meshes and point clouds, which is based on a hybrid shape matching scheme combining local shape descriptors with global Fisher vectors. The differential fast point feature histogram (dFPFH) is defined so as to extend the well-known FPFH descriptor in order to capture local geometry transitions. Local shape similarity is quantified by averaging the minimum weighted distances associated with pairs of dFPFH values calculated...

3D Object Retrieval with Parametric Templates

Roman Getto & Dieter W. Fellner
We propose a 3D object retrieval system which uses parametric templates as prior knowledge for the retrieval. A parametric template represents an object-domain and a semantic concept like 'chair' or 'plane' or a more specific concept like 'dining-char' or 'biplane'. The template can be specified at a general or specific level and can even equal actual retrieved objects. The parametric template is composed of several input parameters and an operation chain which constructs an object....

Non-rigid 3D Shape Retrieval

Z. Lian, J. Zhang, S. Choi, H. ElNaghy, J. El-Sana, T. Furuya, A. Giachetti, R. A. Guler, L. Lai, C. Li, H. Li, F. A. Limberger, R. Martin, R. U. Nakanishi, A. P. Neto, L. G. Nonato, R. Ohbuchi, K. Pevzner, D. Pickup, P. Rosin, A. Sharf, L. Sun, X. Sun, S. Tari, G. Unal … & R. C. Wilson
Non-rigid 3D shape retrieval has become a research hotpot in communities of computer graphics, computer vision, pattern recognition, etc. In this paper, we present the results of the SHREC'15 Track: Non-rigid 3D Shape Retrieval. The aim of this track is to provide a fair and effective platform to evaluate and compare the performance of current non-rigid 3D shape retrieval methods developed by different research groups around the world. The database utilized in this track consists...

Scalability of Non-Rigid 3D Shape Retrieval

I. Sipiran, B. Bustos, T. Schreck, A. M. Bronstein, S. Choi, L. Lai, H. Li, R. Litman & L. Sun
Due to recent advances in 3D acquisition and modeling, increasingly large amounts of 3D shape data become available in many application domains. This rises not only the need for effective methods for 3D shape retrieval, but also efficient retrieval and robust implementations. Previous 3D retrieval challenges have mainly considered data sets in the range of a few thousands of queries. In the 2015 SHREC track on Scalability of 3D Shape Retrieval we provide a benchmark...

Retrieval of Non-rigid (textured) Shapes Using Low Quality 3D Models

Andrea Giachetti, Francesco Farina, Francesco Fornasa, Atsushi Tatsuma, Chika Sanada, Masaki Aono, Silvia Biasotti, Andrea Cerri & Sungbin Choi
This paper reports the results of the SHREC 2015 track on retrieval of non-rigid (textured) shapes from low quality 3D models. This track has been organized to test the ability of the algorithms recently proposed by researchers for the retrieval of articulated and textured shapes to deal with real-world deformations and acquisition noise. For this reason we acquired with low cost devices models of plush toys lying on different sides on a platform, with articulated...

Retrieval of Objects Captured with Kinect One Camera

Pedro B. Pascoal, Pedro Proença, Filipe Gaspar, Miguel Sales Dias, Filipe Teixeira, Alfredo Ferreira, Viktor Seib, Norman Link, Dietrich Paulus, Atsushi Tatsuma & Masaki Aono
Low-cost RGB-D sensing technology, such as the Microsoft Kinect, is gaining acceptance in the scientific community and even entering into our homes. This technology enables ordinary users to capture everyday object into digital 3D representations. Considering the image retrieval context, whereas the ability to digitalize photos led to a rapid increase of large collections of images, which in turn raised the need of efficient search and retrieval techniques. We believe the same is happening now...

Hybrid-Space Localized Stylization Method for View-Dependent Lines Extracted from 3D Models

Luis Cardona & Suguru Saito
We propose a localized stylization method that combines object-space and image-space techniques to locally styl- ize view-dependent lines extracted from 3D models. In the input phase, the user can customize a style and draw strokes by tracing over view-dependent feature lines such as occluding contours and suggestive contours. For each stroke drawn, the system stores its style properties as well as its surface location on the underlying polygonal mesh as a data structure referred as...

Drawing Characteristics for Reproducing Traditional Hand-Made Stippling

Domingo Martín, Vicente Del Sol, Celia Romo & Tobias Isenberg
We contribute an in-depth analysis of the characteristics of traditional stippling and relate these to common practices in NPAR stippling techniques as well as to the abilities and limitations of existing printing and display technology. In our work we focus specifically on the properties of stipple dots and consider the dimensions and attributes of pens and paper types used in artistic practice. With our analysis we work toward an understanding of the requirements for digital...

Image Stylization by Oil Paint Filtering using Color Palettes

Amir Semmo, Daniel Limberger, Jan Eric Kyprianidis & Jürgen Döllner
This paper presents an approach for transforming images into an oil paint look. To this end, a color quantization scheme is proposed that performs feature-aware recolorization using the dominant colors of the input image. In addition, an approach for real-time computation of paint textures is presented that builds on the smoothed structure adapted to the main feature contours of the quantized image. Our stylization technique leads to homogeneous outputs in the color domain and enables...

The Influence of a Moving Camera on the Perception of Distances between Moving Objects

Bärbel Garsoffky, Tobias Meilinger, Chantal Horeis & Stephan Schwan
Movies and especially animations, where cameras can move nearly without any restriction, often use moving cameras, thereby intensifying continuity [Bor02] and influencing the impression of cinematic space [Jon07]. Further studies effectively use moving cameras to explore perception and processing of real world action [HUGG14]. But what is the influence of simultaneous multiple movements of actors and camera on basic perception and understanding of film sequences? It seems reasonable to expect that understanding of object movement...

Visibility-Aware Framing for 3D Modelers

Roberto Ranon & Marc Christie
Modelling and editing entire 3D scenes is a fairly complex task. The process generally comprises many individual operations such as selecting a target object, and iterating over changes in the view and changes of the object's properties such as location, shape, or material. To assist the stage of viewing the selected target, 3D modellers propose some automated framing techniques. Most have in common the ability to translate the camera so that the target is framed...

Eye Tracking Visualization

Michael Burch, Tanja Blascheck, Kuno Kurzhals, Hermann Pflüger, Michael Raschke, Daniel Weiskopf & Thies Pfeiffer
Eye tracking has become a widely used method to analyze user behavior in marketing, neuroscience, human-computer interaction, and visualization research. Apart from measuring completion times and recording accuracy rates of correctly given answers during the performance of visual tasks in classical controlled user experiments, eye tracking-based evaluations provide additional information on how visual attention is distributed and changing for a presented stimulus. Due to the wide field of applications of eye tracking and various kinds...

3D Architectural Modeling: Efficient RANSAC for n-gonal Primitive Fitting

Ahsan Abdullah, Reema Bajwa, Syed Rizwan Gilani, Zuha Agha, Saeed Boor Boor, Murtaza Taj & Sohaib Ahmed Khan
We present a modeling approach to automatically fit 3D primitives to point clouds in order to generate a CAD like model. For detailed modeling we propose a new n-gonal 3D primitive and a novel RANSAC based fitting approach. Non-planar surfaces are modeled through surface of revolution with B-spline profiles. We first reduce the dimension by projecting the 3D data onto a 2D plane. Primitive fitting algorithm is then applied in this 2D space. Our approach...

Fractured Object Reassembly via Robust Surface Registration

Pavlos Mavridis, Anthousis Andreadis & Georgios Papaioannou
The reassembly of fractured 3D objects from their parts is an important problem in cultural heritage and other domains.We approach reassembly from a geometric matching perspective and propose a pipeline for the automatic solution of the problem, where an efficient and generic three-level coarse-to-fine search strategy is used for the underlying global optimization. Key to the efficiency of our approach is the use of a discretized approximation of the surfaces' distance field, which significantly reduces...

Individual Time Stepping for SPH Fluids

Liangliang He, Xiaojuan Ban, Xu Liu & Xiaokun Wang
We present a novel adaptive stepping scheme for SPH fluids, in which particles have their own time-steps determined from local conditions, e.g. Courant condition. These individual time-steps are constrained for global convergence and stability. Fluid particles are then updated asynchronously. The approach naturally allocates computing resources to visually complex regions, e.g. regions with intense collisions, thereby reducing the overall computational time. The experiments show that our approach is more efficient than the standard method and...

Separation of Manga Line Drawings and Screentones

Kota Ito, Yusuke Matsui, Toshihiko Yamasaki & Kiyoharu Aizawa
Screentones are unique expressions of Japanese comics (manga), which enrich their visual expression. However, such screentones have a very different visual nature from that of line drawing areas; this prevents us from applying various kinds of image processing techniques to manga. We propose a method for extracting line drawings and removing screentones. We employ Laplacians of Gaussian filters and flow-based differences of Gaussian filters, one for removing screentones and the other for preserving lines, and...

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