Biography:

Leonardo Sacht is an adjunct professor at Federal University of Santa Catarina (UFSC) in Florianopolis, Brazil. He received a bachelor degree in Mathematics and Scientific Computing from UFSC in 2008 and MSc and DSc degrees in Mathematics from the Brazilian Institute for Pure and Applied Mathematics (IMPA) in 2010 and 2014, respectively. He also spent one year between 2012 and 2013 as a visiting student at ETH Zurich, in Switzerland. He recently published papers on journals such as ACM Transactions on Graphics, Journal of Real-Time Image Processing and IEEE Transactions on Image Processing.

Abstract:

Many tasks in geometry processing and physical simulation benefit from multiresolution hierarchies. One important characteristic across a variety of applications is that coarser layers strictly encage finer layers, nesting one another. Existing techniques such as surface mesh decimation, voxelization, or contouring distance level sets do not provide sufficient control over the quality of the output surfaces while maintaining strict nesting. We propose a solution that enables use of application-specific decimation and quality metrics. The method constructs each next-coarsest level of the hierarchy, using a sequence of decimation, flow, and contact-aware optimization steps. From coarse to fine, each layer then fully encages the next while retaining a snug fit. The method is applicable to a wide variety of shapes of complex geometry and topology. We demonstrate the effectiveness of our nested cages not only for multigrid solvers, but also for conservative collision detection, domain discretization for elastic simulation, and cage-based geometric modeling. 

Biography:

Abstract:

Biography:

Vishal Verma is an Assistant Professor at Department of Computer Science, M. L. N. College, Yamunanagar, INDIA. He received his Ph.D. in Computer Science from the Maharishi Markandeshwar University, Mullana, INDIA. He is having rich experience of more than fourteen years in teaching blended with core research experience in computer graphics (lighting techniques, rendering techniques and their use in mobile devices), CBIR techniques, and knowledge discovery. He has a number of international journals and conference papers to his credit. He had served as member of international review board to many international conferences and also chaired a technical session in an international conference in Australia.

Abstract:

Image-based rendering (IBR) is a new powerful approach to computer graphics that allows three-dimensional objects and scenes to be visualized in a realistic way without full 3D geometric model reconstruction. Conventional computer graphics systems use geometry-based rendering (GBR) techniques to render three-dimensional objects or scenes. These techniques produce images from 3D geometric model of the scene which may include a variety of information like geometry of scene objects, position of light sources, optical properties of the surfaces, viewer position, and so forth. The main bottleneck of GBR pipeline is that model generation is a time consuming process and is highly dependent on the scene complexity. Further, such systems have a limited ability to construct a photo-realistic virtual environment. Thus, the researchers in the field of computer graphics have recently turned to IBR techniques due to many forces like these techniques are computationally less expensive, close to photorealism, and their rendering time is usually constant and does not depend upon the scene complexity. IBR techniques use pre-acquired reference images together with other parameters like depth maps, positional correspondences etc. in order to synthesize the arbitrary views of an object or scene. These techniques have many potential applications in the domains like virtual reality, electronic games, sports broadcasting, 3D-Television, movie industry, mobile/ handheld devices etc. The objective of this talk is to discuss the concept of image-based rendering, fundamental principles behind various IBR techniques, and the strengths & limitations of each technique.

Biography:

Hermilo Sánchez-Cruz received his Ph.D. in computer sciences in 2002, and his B.Sc. in physics in 1995, both from the National Autonomous University (UNAM). Currently, he is a full-time professor with the Autonomous University of Aguascalientes in Mexico (UAA) where he teaches graduate courses in pattern recognition and image processing. He is a member of the National Council of Researchers (SNI) of México since 2005. His recent projects address problems in pattern recognition, image compression, 2-D and 3-D image recognition, where he has proposed important new code representations.

Abstract:

Nowadays, research on 3D object representation for analysis, animation and recognition is a very active field. A three dimensional binary object consists of a set of connected voxels, either through their faces, edges or vertices. In order to perform shape analysis methods, as well as improving memory storage allocation, some chain codes have been proposed to represent the surface of such objects. For instance, in computer vision and pattern recognition has been proposed digital representation schemes for 3D discrete curves, by using the well-known absolute Freeman chain code, or the relative orthogonal chain codes, which are codes to represent face connected objects.  Recently, a new relative chain code has been proposed to represent a 3D binary object, independently of connectivity. The different code schemes address some problems associated with invariance under affine transformations, like rotation and scale, and also, with the suitability in performing storage memory efficiently. We analyze and explore how to solve such problems. In the conference talk, we also explore the application of 3D chain codes regarding the geometric structure of the objects, depending of face, edge or vertex connectivity, or a combination of them, particularly with skeletonized and volumetric objects.

Biography:

Fouad Bousetouane, Received his BSc in computer science and mathematics, in 2008 and Master by Research degree in Artificial Intelligence and Pattern Recognition from Badji Mokhtar University, Algeria, in 2010. He obtained his PhD in Artificial Intelligence and Computer Vision from UBMA-University (Algeria), co-supported by LISIC-Laboratory (France) in 2014. He is valedictorian, member of International Association of Computer Science and Information Technology (IACSIT) and Computer Vision Foundation (CVF). He collaborated with researchers from CNRS-Lille (France) and LISIC-laboratory (France) for developing computer vision algorithms for multi-object tracking, handoff management, dynamic/static occlusion handling and re-identification across multi-sensor networks. He is Co-Founder of Robotics and Intelligent Computing Startup. He authored many technical articles in machine learning, computer vision, satellite image processing, and served as a reviewer for top ranked journals and conferences including ( IET-Image Processing journal, IEEE transaction journal on Intelligent Transportation Systems, IEEE-IROS2012 and IEEE-ITSC-2015). Currently, he is a postdoctoral researcher in computer vision and Artificial intelligence at Real-Time Intelligent Systems (RTIS) laboratory, University of Nevada, Las Vegas, USA. His research interests include artificial intelligence, pattern recognition, probabilistic graphical models and Bayesian computation, machine learning, computer vision and deep learning.

Abstract:

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Biography:

M.N.V.S.S. Kumar is an Associate Professor in the Electronics and Communication Engineering at Aditya Institute of Technology And Management, Tekkali, India. He received his Ph. D in 2013 from Andhra University, India; M. Tech (R&M) from Andhra University, India. He interested in Image Processing, Signal Processing and Global Positioning System. He is also a member of the Institute of Electrical and Electronics Engineers (MIEEE - 91195213) with contribute in 36 journals publication and 56 conferences.

Abstract:

Underwater navigation robots like AUV’s (Autonomous Underwater Vehicle) are used for navigation and surveying purposes. Crucial equipment that provides navigational and surveillance capability to the Autonomous Underwater Vehicle (AUV) is the sonar. With the advancement of technology, there are Imaging sonars which scan areas upto a range of 100 to 300 meters in front of the AUV and provide images as output. Sonar information collected while searching for, or identifying, underwater mines is often presented to the operator in the form of a two dimensional image. This 2D information provides only range and bearing but not depth of the target. It is necessary to convert this two dimensional data to three dimensional object so as to distinguish the object from sea floor. This 2D data is considered as a finite sampling of a surface. To construct the 3D model three algorithms Slice centroid algorithm, ball pivoting algorithm and Quick Hull and Triangulation algorithm are implemented. Among all three methods Quick Hull and Triangulation algorithm performs well in constructing the 3D surface with good resolution. In Slice centroid algorithm the shape of the 3D object is obtained but with this we cannot construct the surface. In ball pivoting algorithm the surface can be constructed but the resolution is very less. In Quick Hull and Triangulation algorithm the finite sampling S is referred to as point cloud i.e, a group of points. The finite sampling S is obtained from the underwater sonar scans. The obtained sampling is converted to a surface by triangulating the 2D data.

Biography:

Yonas Abebaw completed diploma in graphic and computer science. He has received national certified in graphic and computer science (COC). He developed web graphic for a certain PLC here in Ethiopia

Abstract:

Web design is the process of creating websites. It encompasses several different aspects, including webpage layout, content production, and graphic design. Web design is technically a subset of the broader category of web development. Hence, this study inquires the school management system in Ethiopia from the perspective of web design. Under in Ethiopia school management system, most of its recording is conducted manually and in a backward manner. Thus, it has aimed to replace the traditional manual paper into a web based system by using web design.
This study was done by different data gathering tools; such as, interview which helps to get a required information in a greater detail on the existing system, document analysis, system development methodologies like object oriented analysis and design approach were selected to analyze. Development environment, programming and other tools were employed like CSS3, AJAX, JQUERY and PHP.
Finally, from study conducted and the final result, Developing web design for school management system will be important for better usage of time and resources, some of them Account management, Batch and Course management, Student Attendance management, Class Schedule management, Exam Schedule and Exam data Management and also it creates a room for communication of students’ parent with school teachers it avoids or reduces errors and most importantly to provide timely information for anybody who wants it. It is therefore I suggest any esteemed academic institutions to developing web design use betterment of information communication safely.