EG2014 - Posters

Permanent URI for this collection

https://diglib7.eg.org/handle/10.2312/7705

Facet Extraction and Classification for the Reassembly of Fractured 3D Objects

[meta data] [files:
001-002.pdf ,
poster1001.pdf
]
Andreadis, Anthousis
; 
Mavridis, Pavlos
; 
Papaioannou, Georgios

AR-TagBrowse: Annotating and Browsing 3D Objects on Mobile Devices

[meta data] [files:
005-006.pdf
]
Eftaxopoulos, Evangelos
; 
Vasilakis, Andreas
; 
Fudos, Ioannis

HDR Imaging Using Augmented Lagrange Multipliers (ALM)

[meta data] [files:
003-004.pdf ,
poster1004.pdf
]
Bhardwaj, Adit
; 
Raman, Shanmuganathan

A Nonobscuring Eye Tracking Solution for Wide Field-of-View Head-mounted Displays

[meta data] [files:
007-008.pdf
]
Stengel, Michael
; 
Grogorick, Steve
; 
Rogge, Lorenz
; 
Magnor, Marcus

Interactive Diffraction from Biological Nanostructures

[meta data] [files:
009-010.pdf ,
posterfinal_a4.pdf
]
Dhillon, Daljit Singh
; 
Teyssier, Jeremie
; 
Single, Michael
; 
Gaponenko, Iaroslav
; 
Milinkovitch, Michel
; 
Zwicker, Matthias

Learning Strategies to Select Point Cloud Descriptors for 3D Object Classification: A Proposal

[meta data] [files:
011-012.pdf ,
poster1016.pdf
]
Garstka, Jens
; 
Peters, Gabriele

Hexahedral Mesh Adaptation to Imprint Geometric Details: Application to CAD Models

[meta data] [files:
013-014.pdf
]
Goff, Nicolas Le
; 
Ledoux, Franck
; 
Weill, Jean-Christophe

Skeleton-based Joints Position Detection

[meta data] [files:
017-018.pdf ,
poster1021.pdf
]
Madaras, Martin
; 
Piovarci, Michal
; 
Kovacovský, Tomás

The Split Grid - A Hierarchical 1D-Grid-based Acceleration Data Structure for Ray Tracing

[meta data] [files:
015-016.pdf
]
Bauszat, Pablo
; 
Kastner, Marc Aurel
; 
Eisemann, Martin
; 
Magnor, Marcus

Reconstructing Complex Indoor Environments with Arbitrary Wall Orientations

[meta data] [files:
019-020.pdf
]
Mura, Claudio
; 
Villanueva, Alberto Jaspe
; 
Mattausch, Oliver
; 
Gobbetti, Enrico
; 
Pajarola, Renato

BibTeX (EG2014 - Posters)
@inproceedings{
10.2312:egp.20141060,

booktitle = {
Eurographics 2014 - Posters},

editor = {
Mathias Paulin and Carsten Dachsbacher
},
title = {{
Facet Extraction and Classification for the Reassembly of Fractured 3D Objects}},

author = {
Andreadis, Anthousis
 and 
Mavridis, Pavlos
 and 
Papaioannou, Georgios
},
year = {
2014},

publisher = {
The Eurographics Association},


ISSN = {1017-4656},

DOI = {
10.2312/egp.20141060}

}
@inproceedings{
10.2312:egp.20141062,

booktitle = {
Eurographics 2014 - Posters},

editor = {
Mathias Paulin and Carsten Dachsbacher
},
title = {{
AR-TagBrowse: Annotating and Browsing 3D Objects on Mobile Devices}},

author = {
Eftaxopoulos, Evangelos
 and 
Vasilakis, Andreas
 and 
Fudos, Ioannis
},
year = {
2014},

publisher = {
The Eurographics Association},


ISSN = {1017-4656},

DOI = {
10.2312/egp.20141062}

}
@inproceedings{
10.2312:egp.20141061,

booktitle = {
Eurographics 2014 - Posters},

editor = {
Mathias Paulin and Carsten Dachsbacher
},
title = {{
HDR Imaging Using Augmented Lagrange Multipliers (ALM)}},

author = {
Bhardwaj, Adit
 and 
Raman, Shanmuganathan
},
year = {
2014},

publisher = {
The Eurographics Association},


ISSN = {1017-4656},

DOI = {
10.2312/egp.20141061}

}
@inproceedings{
10.2312:egp.20141063,

booktitle = {
Eurographics 2014 - Posters},

editor = {
Mathias Paulin and Carsten Dachsbacher
},
title = {{
A Nonobscuring Eye Tracking Solution for Wide Field-of-View Head-mounted Displays}},

author = {
Stengel, Michael
 and 
Grogorick, Steve
 and 
Rogge, Lorenz
 and 
Magnor, Marcus
},
year = {
2014},

publisher = {
The Eurographics Association},


ISSN = {1017-4656},

DOI = {
10.2312/egp.20141063}

}
@inproceedings{
10.2312:egp.20141064,

booktitle = {
Eurographics 2014 - Posters},

editor = {
Mathias Paulin and Carsten Dachsbacher
},
title = {{
Interactive Diffraction from Biological Nanostructures}},

author = {
Dhillon, Daljit Singh
 and 
Teyssier, Jeremie
 and 
Single, Michael
 and 
Gaponenko, Iaroslav
 and 
Milinkovitch, Michel
 and 
Zwicker, Matthias
},
year = {
2014},

publisher = {
The Eurographics Association},


ISSN = {1017-4656},

DOI = {
10.2312/egp.20141064}

}
@inproceedings{
10.2312:egp.20141065,

booktitle = {
Eurographics 2014 - Posters},

editor = {
Mathias Paulin and Carsten Dachsbacher
},
title = {{
Learning Strategies to Select Point Cloud Descriptors for 3D Object Classification: A Proposal}},

author = {
Garstka, Jens
 and 
Peters, Gabriele
},
year = {
2014},

publisher = {
The Eurographics Association},


ISSN = {1017-4656},

DOI = {
10.2312/egp.20141065}

}
@inproceedings{
10.2312:egp.20141066,

booktitle = {
Eurographics 2014 - Posters},

editor = {
Mathias Paulin and Carsten Dachsbacher
},
title = {{
Hexahedral Mesh Adaptation to Imprint Geometric Details: Application to CAD Models}},

author = {
Goff, Nicolas Le
 and 
Ledoux, Franck
 and 
Weill, Jean-Christophe
},
year = {
2014},

publisher = {
The Eurographics Association},


ISSN = {1017-4656},

DOI = {
10.2312/egp.20141066}

}
@inproceedings{
10.2312:egp.20141068,

booktitle = {
Eurographics 2014 - Posters},

editor = {
Mathias Paulin and Carsten Dachsbacher
},
title = {{
Skeleton-based Joints Position Detection}},

author = {
Madaras, Martin
 and 
Piovarci, Michal
 and 
Kovacovský, Tomás
},
year = {
2014},

publisher = {
The Eurographics Association},


ISSN = {1017-4656},

DOI = {
10.2312/egp.20141068}

}
@inproceedings{
10.2312:egp.20141067,

booktitle = {
Eurographics 2014 - Posters},

editor = {
Mathias Paulin and Carsten Dachsbacher
},
title = {{
The Split Grid - A Hierarchical 1D-Grid-based Acceleration Data Structure for Ray Tracing}},

author = {
Bauszat, Pablo
 and 
Kastner, Marc Aurel
 and 
Eisemann, Martin
 and 
Magnor, Marcus
},
year = {
2014},

publisher = {
The Eurographics Association},


ISSN = {1017-4656},

DOI = {
10.2312/egp.20141067}

}
@inproceedings{
10.2312:egp.20141069,

booktitle = {
Eurographics 2014 - Posters},

editor = {
Mathias Paulin and Carsten Dachsbacher
},
title = {{
Reconstructing Complex Indoor Environments with Arbitrary Wall Orientations}},

author = {
Mura, Claudio
 and 
Villanueva, Alberto Jaspe
 and 
Mattausch, Oliver
 and 
Gobbetti, Enrico
 and 
Pajarola, Renato
},
year = {
2014},

publisher = {
The Eurographics Association},


ISSN = {1017-4656},

DOI = {
10.2312/egp.20141069}

}

Browse

Recent Submissions

Now showing 1 - 10 of 10
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    Facet Extraction and Classification for the Reassembly of Fractured 3D Objects
    (The Eurographics Association, 2014) Andreadis, Anthousis; Mavridis, Pavlos; Papaioannou, Georgios; Mathias Paulin and Carsten Dachsbacher
    The reassembly of fractured 3D objects is a critical problem in computational archaeology, and other application domains. An essential part of this problem is to distinguish the regions of the object that belong to the original surface from the fractured ones. A general strategy to solve this region classification problem is to first divide the surface of the object into distinct facets and then classify each one of them based on statistical properties. While many relevant algorithms have been previously proposed ( [PKT01], [HFG*06], [WW08]), a comparative evaluation of some well-known segmentation strategies, when used in the context of such a problem, is absent from the bibliography. In this poster we present our ongoing work on the evaluation of the performance and quality of segmentation algorithms when operating on fractured objects. We also present a novel method for the classification of the segmented regions to intact and fractured, based on their statistical properties.
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    AR-TagBrowse: Annotating and Browsing 3D Objects on Mobile Devices
    (The Eurographics Association, 2014) Eftaxopoulos, Evangelos; Vasilakis, Andreas; Fudos, Ioannis; Mathias Paulin and Carsten Dachsbacher
    We report on the development of a novel interactive augmented reality app called AR-TagBrowse, built on Unity 3D that enables users to tag and browse 3D objects. Users upload 3D objects (polygonal representation and diffuse maps) through a web server. 3D objects are then linked to real world information such as images and GPS location. Users may optionally segment the objects into areas of interest. Such objects will subsequently pop up in the AR-TagBrowse app when one of these events is detected (visible location or image). The user is then capable of interactively viewing the 3D object, browsing tags or entering new tags providing comments or information for specific parts of the object.
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    HDR Imaging Using Augmented Lagrange Multipliers (ALM)
    (The Eurographics Association, 2014) Bhardwaj, Adit; Raman, Shanmuganathan; Mathias Paulin and Carsten Dachsbacher
    We consider the High Dynamic Range (HDR) imaging problem for real world scenes. We can change either the exposure time or the aperture while capturing multiple images of the scene to generate an HDR image. This paper addresses the HDR imaging problem for static and dynamic scenes when we do not have any knowledge of the camera settings. We have proposed a novel threshold for Augmented Lagrange Multipliers (ALM) framework which enables us to process the images getting rid of artifacts due to moving objects and defocus blur.
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    A Nonobscuring Eye Tracking Solution for Wide Field-of-View Head-mounted Displays
    (The Eurographics Association, 2014) Stengel, Michael; Grogorick, Steve; Rogge, Lorenz; Magnor, Marcus; Mathias Paulin and Carsten Dachsbacher
    We present a solution for integrating a binocular eye tracker into current state-of-the-art lens-based head-mounted displays (HMDs) without affecting the available field-of-view on the display. Estimating the relative eye gaze of the user opens the door for HMDs to a much wider spectrum of virtual reality applications and games. Further, we present a concept of a low-cost head-mounted display with eye tracking and discuss applications which strongly depend on or benefit from gaze estimation.
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    Interactive Diffraction from Biological Nanostructures
    (The Eurographics Association, 2014) Dhillon, Daljit Singh; Teyssier, Jeremie; Single, Michael; Gaponenko, Iaroslav; Milinkovitch, Michel; Zwicker, Matthias; Mathias Paulin and Carsten Dachsbacher
    We describe a technique for interactive rendering of diffraction effects produced by biological nanostructures such as snake skin surface gratings. Our approach uses imagery from atomic force microscopy that accurately captures the nanostructures responsible for structural coloration, that is, coloration due to wave interference, in a variety of animals. We develop a rendering technique that constructs bidirectional reflection distribution functions (BRDFs) directly from the measured data and leverages precomputation to achieve interactive performance. We demonstrate results of our approach using various shapes of the surface grating nanostructures. Finally, we evaluate the accuracy of our precomputation-based technique and compare to a reference BRDF construction technique.
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    Learning Strategies to Select Point Cloud Descriptors for 3D Object Classification: A Proposal
    (The Eurographics Association, 2014) Garstka, Jens; Peters, Gabriele; Mathias Paulin and Carsten Dachsbacher
    We propose a reinforcement learning approach for an adaptive selection and application of 3D point cloud feature descriptors for the purpose of 3D object classification. The result of the learning process is an autonomously learned strategy of selection of descriptors with the property that the successive application of these descriptors to a 3D point cloud yields high classification rates among a large number of object classes. The order in which the descriptors are applied to an unfamiliar point cloud depends on the features calculated in previous steps of the descriptor sequence, i.e., the sequence of descriptors depends on the object to be classified, thus it is highly adaptive. Our approach starts with a given number of descriptors and object classes, but it is able to adapt dynamically to changes in the environment. For example, further descriptors can be added during the learning process, and new object classes are created autonomously if necessary.
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    Hexahedral Mesh Adaptation to Imprint Geometric Details: Application to CAD Models
    (The Eurographics Association, 2014) Goff, Nicolas Le; Ledoux, Franck; Weill, Jean-Christophe; Mathias Paulin and Carsten Dachsbacher
    A novel algorithm is proposed to modify any unstructured hexahedral mesh in order to diminish the global time of numerical simulation processes, like optimization process and parametric studies. It consists in an imprinting algorithm that allows us to automatically add geometric details into an existing mesh. This addition is done using geometric projections, sheets (layers of hexahedral elements) insertions and combinatorial algorithms while preserving the hexahedral mesh structure as best as possible.
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    Skeleton-based Joints Position Detection
    (The Eurographics Association, 2014) Madaras, Martin; Piovarci, Michal; Kovacovský, Tomás; Mathias Paulin and Carsten Dachsbacher
    We present a system for detection of joint positions in scans of articulated models. Our method is based purely on skeletons extracted from scanned point clouds of input models. First, skeletons are extracted from scans and then an estimation of possible matches between skeletons is performed. The matches are evaluated and sorted out. The whole matching process is fully automatic, but some user-driven suggestions can be included. Finally, we pick the best matching of skeletons and create a union-skeleton containing all the nodes from all the skeletons. We find nodes in the union-skeleton with rotation changes higher than the predefined threshold. We take these nodes as joints and visualize them in original scans.
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    The Split Grid - A Hierarchical 1D-Grid-based Acceleration Data Structure for Ray Tracing
    (The Eurographics Association, 2014) Bauszat, Pablo; Kastner, Marc Aurel; Eisemann, Martin; Magnor, Marcus; Mathias Paulin and Carsten Dachsbacher
    We present a new acceleration structure for ray tracing called the Split Grid. Combining concepts of hierarchical grids, kd-trees and Bounding Volume Hierarchies (BVHs), our approach is based on the idea of nesting 1D-grids. Our proposed acceleration structure is compact in storage, adaptive to the scene geometry and can be traversed using a fast and efficient traversal scheme. We show that the Split Grid is comparable to other current state-of-theart acceleration structures regarding traversal performance and memory footprint. While other data structures usually achieve these levels of performance only due to a complex and expensive construction process (e.g. using the Surface Area Heuristic (SAH) [MB90]), our proposed Split Grid is built with a very simplistic construction scheme which is a major benefit of our approach.
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    Reconstructing Complex Indoor Environments with Arbitrary Wall Orientations
    (The Eurographics Association, 2014) Mura, Claudio; Villanueva, Alberto Jaspe; Mattausch, Oliver; Gobbetti, Enrico; Pajarola, Renato; Mathias Paulin and Carsten Dachsbacher
    Reconstructing the architectural shape of interiors is a problem that is gaining increasing attention in the field of computer graphics. Some solutions have been proposed in recent years, but cluttered environments with multiple rooms and non-vertical walls still represent a challenge for state-of-the-art methods. We propose an occlusionsaware pipeline that extends current solutions to work with complex environments with arbitrary wall orientations.