WSCG 2017: Poster Papers Proceedings Domovská stránka kolekce Zobrazit statistiky

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Marx, Edgar , Khalili, Ali , Valdestilhas, André
Semantic search user interface patterns: an introduction

Within the past few years, many patterns and principles have been proposed towards the enhancement of search user interfaces and experience. However, to access and explore information efficiently is still significantly challenging. Recently, we have seen the rise of a new kind&#x...

Amine, Mohammed , Sakly, Ines , Mhiri, Slim , Ghorbel, Faouzi
Multi-references shape constraint for snakes

In this research, we intend to present a new method of snakes with an invariant shape prior. We consider the general case where different templates are available and we have to choose the most suitable ones to define the shape constraint. A new external force is then...

Saric, Matko
Scene text segmentation based on redundant representation of character candidates

Text segmentation is important step in extraction of textual information from natural scene images. This paper proposes novel method for generation of character candidate regions based on redundant representation of subpaths in extremal regions (ER) tree. These subpaths are constructed using ...

Elghoul, S. , Saidani, M. , Ghorbel, F.
An interactive Tunisian virtual museum through affine reconstruction of gigantic mosaics and antic 3-D models

Museums are no longer static depositories for objects, as they used to be for the past two centuries. Online and interactive access has created new opportunities for museums and cultural institutions to reach out and discover new audiences for promotion of cultural achievements. Th...

Felea, Iulian , Florea, Corneliu , Vertan, Constantin , Florea, Laura
Isomorphic loss function for head pose estimation

Accurate head pose estimation is a key step in many practical applications involving face analysis tasks, such as emotion recognition. We address the problem of head pose estimation in still color images acquired with a standard camera with limited resolution details. To achieve th...

Amara, Jihen , Kaur, Pawandeep , Owonibi, Michael , Bouaziz, Bassem
Convolutional neural network based chart image classification

Charts are frequently embedded objects in digital documents and are used to convey a clear analysis of research results or commercial data trends. These charts are created through different means and may be represented by a variety of patterns such as column charts, line chart...

Belykh, Igor , Markov, Dmitry
Volumetric ultrasound imaging: modeling of waveform inversion

Ultrasound imaging is widely used in medicine and nondestructive testing. Medical ultrasound volumetric imaging can be considered as a competitive method to X-ray CT and MRI. Recent results in breast ultrasound tomography provide spatial distribution of sound speed and attenuation coefficient...

Qin, Guiming , Ma, Yan , Fu, Yuanguang
Efficient modeling methods of large-scale model for Monte Carlo transport simulation

Monte Carlo methods are widely used in simulation of the full-core reactor. They are usually adopted to deal with the geometry model based on the Constructive Solid Geometry. A visual modeling software for the automatic particle transport program, called JLAMT, is developed by the&...

Muraki, Yuta , Nishio, Koji , Kanaya, Takayuki , Kobori, Ken-ichi
An automatic hole filling method of point cloud for 3D scanning

In recent years, due to the development of three-dimensional scanning technology, the opportunities for real objects to be three-dimensionally measured, taken into the PC as point cloud data, and used for various contents are increasing. However, the point cloud data obtained by three-d...

Santana, José M. , Trujillo, Agustín , Suárez, José P. , Ortega, Sebastián
Efficient atmospheric rendering for mobile virtual globes

Most virtual globe systems feature a rendering of the atmosphere that surrounds the earth. This element is so widespread that seeing a virtual earth without a surrounding halo makes the image seem much more artificial. Atmospheric rendering is a costly process aimed to enhance ...

Radolko, Martin , Farhadifard, Fahimeh , Freiherr von Lukas, Uwe
Background modeling: dealing with pan, tilt or zoom in videos

Even simple camera movements like pan, tilt or zoom constitute enormous problems for background subtraction algorithms since the modeling of the background works only under the assumption of a static camera. The problem has been mostly ignored and other algorithms have been used fo...

Zhou, Wei , Zhou, Yanghong , Li, Runze , Mok, P. Y.
Fashion recommendations using text mining and multiple content attributes

Many online stores actively recommend commodities to users for facilitating easy product selection and increasing product exposure. Typical approach is by collaborative filtering, namely recommending the products based on their popularity, assuming that users may buy the products that many others...

Batuhan Baskurt, Kemal , Same, Refik
Improved adaptive background subtraction method using pixel-based segmenter

Moving object detection is essential in many computer vision systems as it is generally first process which feeds following algorithmic steps after getting camera stream. Thus quality of moving object detection is crucial for success of the whole process flow. It has been studied&#...

Zoppitelli, Pierre , Mavromatis, Sébastien , Sequeira, Jean
Ellipse detection in very noisy environment

Ellipse detection is a major issue of image analysis because circles are transformed into ellipses by projective transformations, and most of 3D scenes contain circles that are significant for understanding them (mechanical parts, man-made objects, interior decoration,). Several algorithms have b...

Rekik, Farah , Ayedi, Walid , Jallouli, Mohammed
Evaluation of an object detection system in the submarine environment

The object detection in underwater environment requires a perfect description of the image with appropriate features, in order to extract the right object of interest. In this paper we adopt a novel underwater object detection algorithm based on multi-scale covariance descriptor (MSCOV) ...

Paulauskienė, Kotryna , Kurasova, Olga
A new dimensionality reduction-based visualization approach for massive data

We live in a big data and data analytics era. The volume, velocity, and variety of data generated today require special methods and techniques for data analysis and inferencing. Data visualization tools allow us to understand the data deeper. One of the straightforward ways of...

Massaoudi, Mohammed , Bahroun, Sahbi , Zagrouba, Ezzeddine
Video summarization based on local features

Keyframe extraction process consists on presenting an abstract of the entire video with the most representative frames. It is one of the basic procedures relating to video retrieval and summary. This paper present a novel method for keyframe extraction based on SURF local features....

Talbi, F. , Alim-Ferhat, F. , Seddiki, S. , Hachemi, B.
Evaluation of standard and directional median filters algorithms and their implementation on FPGA for medical application

The standard and the directional median filters are effective methods for the removal of impulse-based noise from the images. The main advantage is being the preserving of edges as compared to the mean filter. The main objective of this article is to implement the standard�...

Lai, Wei-Hao , Tang, Chang-Yu , Chang, Chun-Fa
Ray tracing API integration for OpenGL applications

Ray tracing is one of the most important rendering techniques in computer graphics. By means of simulating reflection and refraction of light transportation, ray tracing generates more photorealistic images than scanline rendering. However, the high computational cost is the main disadvantage...


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