Die drei besten Artikel aus den »Selected Readings in Computer Graphics« des Jahres 2014 wurden mit dem Best Paper Award in den Kategorien »Impact on Business«, »Impact on Society« und »Impact on Science« ausgezeichnet. In die engere Wahl kamen weitere sechs Artikel.

Die Gewinner in den jeweiligen Kategorien sind:

Impact on Business

Santos, Pedro; Ritz, Martin; Tausch, Reimar; Schmedt, Hendrik; Monroy Rodriguez, Rafael; Stefano, Antonio; Posniak, Oliver; Fuhrmann, Constanze; Fellner, Dieter W.:

CultLab3D - On the Verge of 3D Mass Digitization

Impact on Society

Dambruch, Jens; Krämer, Michel:

Leveraging Public Participation in Urban Planning with 3D Web Technology

Impact on Science

Fuhrmann, Simon; Goesele Michael:

Floating Scale Surface Reconstruction

Liste der Publikationen

Gewinner und die Publikationen, die in die engere Wahl gekommen sind.

 

Dambruch, Jens; Krämer, Michel:
Leveraging Public Participation in Urban Planning with 3D Web Technology
2014
In: Polys, Nicholas F. (General Chair) et al.: Proceedings Web3D 2014 : 19th International Conference on 3D Web Technology. New York: ACM, 2014, pp. 117-124
International Conference on 3D Web Technology (WEB3D) <19, 2014, Vancouver, BC, Canada>
In this paper we present a web-based platform that makes use of HTML5 technology and WebGL to facilitate public participation in urban planning. It consists of components that enable city administrations to present urban plans to the public and to engage with stakeholders. One of these components uses the open source library X3DOM to visualise 3D content-for example, a city model containing a 3D representation of a planned building. Since X3DOM does not need additional software to be installed on the user's system our implementation is more portable than previous work.

Our solution is based on the open source software Liferay which allows it to be configured for various urban planning projects. In order to enable communication between different web application components residing in inline frames (iframes) we implemented a special message bus based on HTML5 postMessage. In this paper we describe implementation details, but we also intensively discuss the possibilities of modern web technology for urban planning. We motivate the use of such technology through three examples that can be implemented using our web application. In this paper we also present results from evaluating our application in user workshops carried out within the project urbanAPI that is funded by the European Commission. Finally, we draw conclusions and discuss possibilities for future urban planning use cases.

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Fuhrmann, Simon; Goesele, Michael:
Floating Scale Surface Reconstruction
2014
In: ACM Transactions on Graphics, Vol.33 (2014), 4, 11 p.; Article No. 46
International Conference on Computer Graphics and Interactive Techniques (SIGGRAPH) <41, 2014, Vancouver, BC, Canada>
Any sampled point acquired from a real-world geometric object or scene represents a finite surface area and not just a single surface point. Samples therefore have an inherent scale, very valuable information that has been crucial for high quality reconstructions. We introduce a new method for surface reconstruction from oriented, scale-enabled sample points which operates on large, redundant and potentially noisy point sets. The approach draws upon a simple yet efficient mathematical formulation to construct an implicit function as the sum of compactly supported basis functions. The implicit function has spatially continuous "floating" scale and can be readily evaluated without any preprocessing. The final surface is extracted as the zero-level set of the implicit function. One of the key properties of the approach is that it is virtually parameter-free even for complex, mixed-scale datasets. In addition, our method is easy to implement, scalable and does not require any global
operations. We evaluate our method on a wide range of datasets for which it compares favorably to popular classic and current methods.

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Lenz, Olav; Keul, Frank; Bremm, Sebastian; Hamacher, Kay; Landesberger, Tatiana von:
Visual Analysis of Patterns in Multiple Amino Acid Mutation Graphs
2014
In: Chen, Min (Ed.) et al.: IEEE Conference on Visual Analytics Science and Technology. Proceedings : VAST 2014. Los Alamitos, Calif.: IEEE Computer Society, 2014, pp. 93-102
IEEE Symposium on Visual Analytics Science and Technology (VAST) <9, 2014, Paris, France>
Proteins are essential parts in all living organisms. They consist of sequences of amino acids. An interaction with reactive agent can stimulate a mutation at a specific position in the sequence. This mutation may set off a chain reaction, which effects other amino acids in the protein. Chain reactions need to be analyzed, as they may invoke unwanted side effects in drug treatment.

A mutation chain is represented by a directed acyclic graph, where amino acids are connected by their mutation dependencies. As each amino acid may mutate individually, many mutation graphs exist. To determine important impacts of mutations, experts need to analyze and compare common patterns in these mutations graphs. Experts, however, lack suitable tools for this purpose.

We present a new system for the search and the exploration of frequent patterns (i.e., motifs) in mutation graphs. We present a fast pattern search algorithm specifically developed for finding biologically relevant patterns in many mutation graphs (i.e., many labeled acyclic directed graphs). Our visualization system allows an interactive exploration and comparison of the found patterns. It enables locating the found patterns in the mutation graphs and in the 3D protein structures. In this way, potentially interesting patterns can be discovered. These patterns serve as starting point for a further biological analysis.

In cooperation with biologists, we use our approach for analyzing a real world data set based on multiple HIV protease sequences.

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Preiss, Jens; Fernandes, Felipe; Urban, Philipp:
Color-Image Quality Assessment: From Prediction to Optimization
2014
In: IEEE Transactions on Image Processing, Vol.23 (2014), 3, pp. 1366-1378
While image-difference metrics show good prediction performance on visual data, they often yield artifact-contaminated results if used as objective functions for optimizing complex image-processing tasks. We investigate in this regard the recently proposed color-image-difference (CID) metric particularly developed for predicting gamut-mapping distortions. We present an algorithm for optimizing gamut mapping employing the CID metric as the objective function. Resulting images contain various visual artifacts, which are addressed by multiple modifications yielding the improved color-image-difference (iCID) metric. The iCID-based optimizations are free from artifacts and retain contrast, structure, and color of the original image to a great extent. Furthermore, the prediction performance on visual data is improved by the modifications.

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Rus, Silvia; Große-Puppendahl, Tobias; Kuijper, Arjan:
Recognition of Bed Postures Using Mutual Capacitance Sensing
2014
In: Aarts, Emile (Ed.) et al.: Ambient Intelligence : European Conference, AmI 2014. Berlin, Heidelberg, New York: Springer, 2014. (Lecture Notes in Computer Science (LNCS) 8850), pp. 51-66
European Conference on Ambient Intelligence (AmI) <2014, Eindhoven, The Netherlands>
In recent years, mutual capacitive sensing made significant advances in the field of gathering implicit contextual data. These systems find broad usage in pervasive activity-recognition systems, installed stationary or made portable. In the domain of context recognition new ways of interaction with the environment opened up since conductive objects can be detected under certain conditions at distances up to 50 cm.

This paper investigates an approach to recognize bed postures using mutual capacitance sensing. The overall goal is to develop a technological concept that can be applied to recognize bed postures of patients in elderly homes. The use of this contextual data may lead to many desired benefits in elderly care e.g. the better prevention of decubitus ulcer, a condition caused by prolonged pressure on the skin resulting in injuries to skin and underlying tissues. For this, we propose a low-cost grid of crossed wires of 48 measurement points placed between the mattress and the bed sheet. The experimental results analyze a set of five lying positions. We achieved for all tested individuals an accuracy of 80.76% and for several individuals of the same bodysize an accuracy of 93.8%.

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Santos, Pedro; Ritz, Martin; Tausch, Reimar; Schmedt, Hendrik; Monroy Rodriguez, Rafael; Stefano, Antonio; Posniak, Oliver; Fuhrmann, Constanze; Fellner, Dieter W.:
CultLab3D - On the Verge of 3D Mass Digitization
2014
In: Klein, Reinhard (Ed.) et al.: GCH 2014 : Eurographics Workshop on Graphics and Cultural Heritage. Goslar: Eurographics Association, 2014, pp. 65-73
Eurographics Symposium on Graphics and Cultural Heritage (GCH) <12, 2014, Darmstadt, Germany>
Acquisition of 3D geometry, texture and optical material properties of real objects still consumes a considerable amount of time, and forces humans to dedicate their full attention to this process. We propose CultLab3D, an automatic modular 3D digitization pipeline, aiming for efficient mass digitization of 3D geometry, texture, and optical material properties. CultLab3D requires minimal human intervention and reduces processing time to a fraction of today's efforts for manual digitization. The final step in our digitization workflow involves the integration of the digital object into enduring 3D Cultural Heritage Collections together with the available semantic information related to the object. In addition, a software tool facilitates virtual, location-independent analysis and publication of the virtual surrogates of the objects, and encourages collaboration between scientists all around the world. The pipeline is designed in a modular fashion and allows for further extensions
to incorporate newer technologies. For instance, by switching scanning heads, it is possible to acquire coarser or more refined 3D geometry.

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Schinko, Christoph; Berndt, Rene; Eggeling, Eva; Fellner, Dieter W.:
A Scalable Rendering Framework for Generative 3D Content
2014
In: Polys, Nicholas F. (General Chair) et al.: Proceedings Web3D 2014 : 19th International Conference on 3D Web Technology. New York: ACM, 2014, pp. 81-87
International Conference on 3D Web Technology (WEB3D) <19, 2014, Vancouver, BC, Canada>
Delivering high quality 3D content through a web browser is still a challenge especially when intellectual property (IP) protection is necessary. Thus, the transfer of 3D modeling information to a client should be avoided. In our work we present a solution to this problem by introducing a server-side rendering framework. Only images are transferred to the client, the actual 3D content is not delivered. By providing simple proxy geometry it is still possible to provide direct interaction on the client.

Our framework incorporates the Generative Modeling Language (GML) for the description and rendering of generative content. It is then possible to not only interact with the 3D content, but to modify the actual shape within the possibilities of the generative content. By introducing a control layer and encapsulating processing and rendering of the generative content in a so called GML Rendering Unit (GRU) it is possible to provide a scalable rendering framework.

Schmidt, Uwe; Roth, Stefan:
Shrinkage Fields for Effective Image Restoration
2014
In: IEEE Computer Society: 2014 IEEE Conference on Computer Vision and Pattern Recognition. Proceedings : CVPR 2014. Los Alamitos, Calif.: IEEE Computer Society Conference Publishing Services (CPS), 2014, pp. 2774-2781
IEEE Conference on Computer Vision and Pattern Recognition (CVPR) <32, 2014, Columbus, Ohio, USA>
Many state-of-the-art image restoration approaches do not scale well to larger images, such as megapixel images common in the consumer segment. Computationally expensive optimization is often the culprit. While efficient alternatives exist, they have not reached the same level of image quality. The goal of this paper is to develop an effective approach to image restoration that offers both computational efficiency and high restoration quality. To that end we propose shrinkage fields, a random field-based architecture that combines the image model and the optimization algorithm in a single unit. The underlying shrinkage operation bears connections to wavelet approaches, but is used here in a random field context. Computational efficiency is achieved by construction through the use of convolution and DFT as the core components; high restoration quality is attained through loss-based training of all model parameters and the use of a cascade architecture. Unlike heavily engineered
solutions, our learning approach can be adapted easily to different trade-offs between efficiency and image quality. We demonstrate state-of-the-art restoration results with high levels of computational efficiency, and significant speedup potential through inherent parallelism.

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Wächter, Michael; Moehrle, Nils; Goesele, Michael:
Let There Be Color! Large-Scale Texturing of 3D Reconstructions
2014
In: Fleet, David (Ed.) et al.: Computer Vision - ECCV 2014. Proceedings Part V : 13th European Conference on Computer Vision. Berlin, Heidelberg, New York: Springer, 2014. (Lecture Notes in Computer Science (LNCS) 8693), pp. 836-850
European Conference on Computer Vision (ECCV) <13, 2014, Zurich, Switzerland>
3D reconstruction pipelines using structure-from-motion and multi-view stereo techniques are today able to reconstruct impressive, large-scale geometry models from images but do not yield textured results. Current texture creation methods are unable to handle the complexity and scale of these models. We therefore present the first comprehensive texturing framework for large-scale, real-world 3D reconstructions. Our method addresses most challenges occurring in such reconstructions: the large number of input images, their drastically varying properties such as image scale, (out-of-focus) blur, exposure variation, and occluders (e.g., moving plants or pedestrians). Using the proposed technique, we are able to texture datasets that are several orders of magnitude larger and far more challenging than shown in related work.

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