WSCG '2016: Short Papers Proceedings Domovská stránka kolekce Zobrazit statistiky

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Záznamy kolekce (řazeno podle Datum zaslání v sestupně pořadí): 1 až 20 z 47
Gonzalez, Matilde , Collet, Christophe
Face tracking using a combination of colour and pattern matching based on particle filter

Robust real-time face tracking is an important and challenging task in computer vision applications. In this paper, we propose a novel particle filter algorithm to robustly track faces. Particle observations are computed by considering cue and appearance feature. Cue feature is u...

Tuba, Eva , Tuba, Milan , Simian, Dana
Handwritten digit recognition by support vector machine optimized by Bat algorithm

Handwritten digit recognition is an important but very hard practical problem. This is a classification problem for which support vector machines are very successfully used. Determining optimal support vector machine is another hard optimization problem that involves tuning of the soft margi...

Ettaïeb, Saïd , Mnassri, Besma , Hamrouni, Kamel
Integration of statistical spatial relations into Active Shape Model- Application to striatum segmentation in MRI

This paper describes a new method based on Active Shape Model (ASM) and statistical spatial relations. It combines three types of a priori knowledge: the structures shapes, the distance and the angle variability between them. This knowledge is estimated during a training step. Then...

Rihani, Amal , Jribi, Majdi , Ghorbel, Faouzi
A novel accurate 3D surfaces description using the Arc-length reparametrized level curves of the three-polar representation

This paper studies the problem of the 3D surfaces representation. Our starting point is the extraction of the threepolar representation from the 3D shapes. It consists on a level curves set of the superposition of the three geodesic potentials generated from three reference points&...

Boughzala, Omelkhir , Guesmi, Lamia , Ben Abdallah, Asma , Hédi Bedoui, Mohamed
Automatic segmentation of cervical cells in Pap smear images

In the context of medical diagnosis by image analysis, segmentation is the most critical step in image processing. The problem of image segmentation has been studied for years and many methods have been suggested in the literature. However, there is not yet any automatic metho...

Pandey, Jalaj , Sharma, Ojaswa
Fast and robust construction of 3D architectural models from 2D plans

In this work we present a simple and robust method to create 3D building models from a set of architectural plans. Such plans are created for human readability and thus pose some problem in automatic creation of a 3D model. We suggest a semi-automated approach for pl...

Mabrouk, Sabra , Chaieb, Faten , Ghorbel, Faouzi
An unsupervised 3D mesh segmentation based on HMRF-EM algorithm

We propose a new 3D mesh segmentation method based on the HMRF-EM framework. The clustering method relies on the curvature attribute and considers the spatial information encoded by the mutual influences of neighboring mesh elements. A region growing process is then carried out in&...

Colet, Mateus Eugênio , Braun, Adriana , Manssour, Isabel H.
A new approach to turbid water surface identification for autonomous navigation

Navigation of autonomous vehicles in natural environments based on image processing is certainly a complex problem due to the dynamic characteristics of aquatic surfaces, such as brightness and color saturation. This paper presents a new approach to identify turbid water surfaces based ...

Mliki, Hazar , Hammami, Mohamed
Facial expression recognition using salient facial patches

This paper proposes a novel facial expression recognition method composed of two main steps: offline step and online step. The offline step selects the most salient facial patches using mutual information technique. The online step relies on the already selected patches to identify ...

Krekhov, Andrey , Grüninger, Jürgen , Baum, Kevin , McCann, David , Krüger, Jens
MorphableUI: a hypergraph-based approach to distributed multimodal interaction for rapid prototyping and changing environments

Nowadays, users interact with applications in constantly changing environments. The plethora of I/O modalities is beneficial for a wide range of application areas such as virtual reality, cloud-based software, or scientific visualization. These areas require interfaces based not only on the&...

Rachkovskaya, Galina S. , Kharabayev, Yuriy N. , Rachkovskaya, Natalya S.
Kinematical ruled surfaces based on interrelated movements in triads of contacted axoids

Kinematical ruled surfaces are constructed by generating the line's motion of a moving ruled surface during its movement along a fixed ruled surface [Spr02a]. The main condition of constructing kinematical ruled surfaces is that a moving axoid contacts with a fixed axoid along ...

Schlegel, Steven , Volke, Sebastian , Scheuermann, Gerik
Measuring event probabilities in uncertain scalar datasets using Gaussian processes

In this paper, we show how the concept of Gaussian process regression can be used to determine potential events in scalar data sets. As a showcase, we will investigate climate data sets in order to identify potential extrem weather events by deriving the probabilities of ...

Avetisyan, Razmik , Rosenke, Christian , Staadt, Oliver
Flexible calibration of color and depth camera arrays

In this work we present a flexible approach for calibrating an array of multiple stationary color and depth cameras using an optical tracking system. Our application domain is focused on 3D telepresence. Calibrating cameras in this area is still a major problem due to the ...

Avetisyan, Razmik , Rosenke, Christian , Luboschik, Martin , Staadt, Oliver
Temporal filtering of depth Images using optical flow

We present a novel depth image enhancement approach for RGB-D cameras such as the Kinect. Our approach employs optical flow of color images for refining the quality of corresponding depth images. We track every depth pixel over a sequence of frames in the temporal domain ...

Quigley, Carson , Shooter, Steven , Mitchel, Aaron
Toward a computational model and decision support system for reducing errors in pharmaceutical packaging

The US Institute of Medicine reports that one medication error occurs per patient per day in hospital care, and other studies indicate that medication administration errors attributed to packaging and/or labeling confusion can be as high as 33%. While many engineered products have&...

Chan, K. L.
Background modeling using perception-based local pattern

Background modeling is an important issue in video surveillance. A sophisticated and adaptive background model can be used to detect moving objects which are segregated from the scene in each image frame of the video via the background subtraction process. Many background subtraction&#x...

Arora, Noopur , Shukla, Parul , Biswas, Kanad K.
Integrating depth-HOG and spatio-temporal joints data for action recognition

In this paper, we propose an approach for human activity recognition using gradient orientation of depth maps and spatio-temporal features from body-joints data. Our approach is based on an amalgamation of key local and global feature descriptors such as spatial pose, temporal variation...

Baum, David , Kovacs, Pascal , Eisenecker, Ulrich , Müller, Richard
A User-centered approach for optimizing information visualizations

The optimization of information visualizations is time consuming and expensive. To reduce this we propose an improvement of existing optimization approaches based on user-centered design, focusing on readability, comprehensibility, and user satisfaction as optimization goals. The changes comprise (1) ...

Milman, Igal , Pilyugin, Victor V.
Interactive visual analysis of multidimensional geometric data

One of the most important tasks in modern world is to find solutions to problems of processing and analyzing multidimensional data. In this paper we present an approach for cluster analysis of multidimensional geometric data. Some definitions and extensions of classical cluster analysis...

Salamah, Samer , Brunnett, Guido
Multiphase action representation for online classification of motion capture data

In this paper we introduce a novel, simple, and efficient method for human action recognition based on a multiphase representation of human motion. An action is considered as a finite state machine where each state represents a primitive motion called motion phase, which is si...

Záznamy kolekce (řazeno podle Datum zaslání v sestupně pořadí): 1 až 20 z 47