An efficient time representation for real

Realistic virtual reality applications require highly-detailed geometry as well es convincing surface representations. In many applications, especially in the automotive industry, the realistic rendering of metallic effect paints is necessary.

Due to their complex appearance, this is a demanding problem. Previous methods either use a computationally heavy-weight and often hand-tuned simulation approach or a data-driven approach.

The former are thus not well-suited for real-time applications.

an efficient time representation for real

In this paper, we describe an efficient representation for metallic car paints, based on computing the statistical properties of measured real-world samples. Our approach is suited for real-time rendering, poses only moderate requirements on the computing power, uses a low amount of memory and displays high-quality results, as shown in our evaluation section.

As an additional advantage, our representation allows the generation of BTFs of arbitrary resolution. We would like to thank Volkswagen and X-Rite for providing measurements of the metallic paints. Skip to main content. This service is more advanced with JavaScript available. Advertisement Hide. Conference paper First Online: 07 December This process is experimental and the keywords may be updated as the learning algorithm improves. This is a preview of subscription content, log in to check access.

Acknowledgments We would like to thank Volkswagen and X-Rite for providing measurements of the metallic paints. Atanasov, A. ACM Google Scholar. Baolong, G. Cook, R. ACM Trans. Debevec, P. Dischler, J. Dorsey, J. In: Proceedings of the Driving Simulation Conference, pp. Ershov, S. In: Proceeding of Graphicon, pp. In: Computer Graphics Forum, vol. Wiley Online Library Google Scholar.

Gervautz, M. New Trends Comput. Guarnera, D. Guarnera, G.Skip to search form Skip to main content You are currently offline. Some features of the site may not work correctly. Pegoraro and M. Uysal and W. PegoraroM. UysalW. Aalst Published Computer Science. The discipline of process mining deals with analyzing execution data of operational processes, extracting models from event data, checking the conformance between event data and normative models, and enhancing all aspects of processes.

Most approaches assume that event data is accurately capture behavior.

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However, this is not realistic in many applications: data can contain uncertainty, generated from errors in recording, imprecise measurements, and other factors. View PDF on arXiv. Save to Library. Create Alert. Launch Research Feed. Share This Paper. Figures and Tables from this paper. Figures and Tables. References Publications referenced by this paper. View 1 excerpt, references background. Research Feed. View 2 excerpts, references background and methods. Highly Influential. Discovering anomalous frequent patterns from partially ordered event logs.

View 1 excerpt, references methods. Related Papers. By clicking accept or continuing to use the site, you agree to the terms outlined in our Privacy PolicyTerms of Serviceand Dataset License.Sparse representation techniques for robust face recognition have been widely studied in the past several years. Recently face recognition with simultaneous misalignment, occlusion and other variations has achieved interesting results via robust alignment by sparse representation RASR.

In RASR, the best alignment of a testing sample is sought subject by subject in the database. However, such an exhaustive search strategy can make the time complexity of RASR prohibitive in large-scale face databases. In this paper, we propose a novel scheme, namely misalignment robust representation MRRby representing the misaligned testing sample in the transformed face space spanned by all subjects.

The MRR seeks the best alignment via a two-step optimization with a coarse-to-fine search strategy, which needs only two deformation-recovery operations. Extensive experiments on representative face databases show that MRR has almost the same accuracy as RASR in various face recognition and verification tasks but it runs tens to hundreds of times faster than RASR.

an efficient time representation for real

The running time of MRR is less than 1 second in the large-scale Multi-PIE face database, demonstrating its great potential for real-time face recognition. Skip to main content Skip to sections. This service is more advanced with JavaScript available.

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Advertisement Hide. European Conference on Computer Vision. Conference paper. Download to read the full conference paper text. Zhao, W. Huang, G. Kumar, N. Nowak, E. Yin, Q. Wagner, A. Wright, J. Elhamifar, E. Yang, M. Zhou, Z.

Huang, J. Zhang, L. Yan, S. Viola, P. Shan, S. Cootes, T. Peng, Y. Yang, A. Kim, S. Gross, R. Georghiades, A. Personalised recommendations. Cite paper How to cite?To make the computer generated imagery CGI vivid, ana-lyzing the appearance of materials becomes the first priority.

Real world materials usually exhibit complex appearance and cannot be faithfully represented simply by analytical or parametric reflectance functions, such as the combination of bump, glossy, specular and diffuse maps which is widely used in current real-time rendering programs. In this paper, we propose an appearance representation for general complex materials which can be applied in real-time rendering framework. By combining a single parametric shading function such as the Phong model and the pro-posed spatial-varying residual function SRFthis repre-sentation can recover the appearance of complex materials without much loss of visual fidelity.

The difference between the real data and the parametric shading is directly fitted by a specific function for easy reconstruction. It is sim-ple, flexible and easy to be implemented on programmable graphics hardware. We capture real photographs of differ-ent materials with a homemade lighting platform and use them to obtain the the data of SRF representation. Documents: Advanced Search Include Citations.

Abstract To make the computer generated imagery CGI vivid, ana-lyzing the appearance of materials becomes the first priority. Powered by:.Participation in these surveys or contests is completely voluntary and you have the choice of whether or not to disclose such information. Information requested may include contact information (such as name, correspondence address and telephone number), and demographic information (such as zip or postal code or age). By accepting any contest prize or winnings from us, you consent to use of your name for advertising and promotional purposes without additional compensation, except where prohibited by law.

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an efficient time representation for real

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We understand the importance of security and the techniques needed to secure information.Try the stain remover sticks from Juniperseed Mercantile or Buncha Farmers. A reusable Swiffer cloth is great for those of us who already own a Swiffer mop. But if you already own a Swiffer mop, check out the reusable Swiffer cloths from Juniperseed Mercantile.

Efficient Time and Space Representation of Uncertain Event Data

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One great brand is Luna Pads, which are made with organic cotton. Remember to ask the seller to ship with no plastic packaging. Some women prefer the Diva Cup, which can be washed and reinserted.

Read about them here. Several readers have offered other options. Check out my May 7, 2010 post and especially the comments for plastic-free sunscreen alternatives. Check out these new plastic-free, organic hair elastics.

This way, I can avoid all the disposable cups, plates, and cutlery in the lunchroom. Those containers contain endocrine-disrupting chemicals. My Waring Pro is all glass and metal and works just fine. It was a fun experiment. When we run out of jars, we store leftovers in bowls with saucers on top instead of plastic wrap. Bowls with saucers are great for stacking. We also use Anchor glass refrigerator containers to store daily portions of our homemade cat food.

More on that below. The key to freezing foods in glass is not to fill the jar too full, since the food will expand inside the container. The other caveat is not to heat the glass too quickly. Let foods thaw at room temperature to avoid glass breakage.

Another option for the refrigerator or freezer are the flat-topped airtight stainless steel containers from Life Without Plastic. Their flat top makes them easy to stack and the fact that they are airtight means food can be stored longer.It forced me to do it and that is what I needed. Tal Galilli was great!. He is very patient and willing to help no matter what our questions were. Overall,great course and I plan to take more. This will be very helpful for the type of data analysis work I doThis course is an excellent follow up to the R basic course.

A lot of new and helpful material was added and contributed to a more advanced understanding of R programmingProfessor John Verzani is excellent.

2020 mid year review - reflections + goals 🌟

I used to be thrilled to see his long explanation on the concepts. It was so helpful and makes us love the subject. If you understand the subject, you start loving the subject and this is exactly what I realized and professor's explanation made me start loving R.

Assistant Teacher (Shweta Jadhav) really was so helpful. Her feedback, comments were so very valid and felt really blessed to meet and get taught from such wonderful people. Every one at Statistics are such wonderful and nice people.

I am really blessed to be part of such an institute :)Both professor Verzani and the TA's were always ready to answer questions. This is probably the most actively I've ever participated in an online class. I really benefitted from this course and I appreciate all the thought and effort put into making it such a valuable resource for R users.

This course will definitely be used for my work. This course should be called Intro to R for Busy People. I'm really glad I took this course and will recommend it to others. Thank you John and the TAs!. You've made my fear of R vanish-- the pace of the course definitely helped with building confidenceI took the course to get starting using R, thus I think this will help with my use of statistics in the future. Thank you for the excellent course. I appreciated the timely and detailed responses from Dr.

Discussions initiated by other students were also very valuable - esp for PCA and ClustersInstructor gave good, understandable answers on the board, and several nice summaries of topics we were covering. I have truly enjoyed this course with Professor Babinec.

Anthony did a great job of answering questions, adding explanations and expanding on ideas. The best teacher I have had at statistics. The course has fueled my desire to increase my understanding of measurement, specifically Rasch and IRT techniques and theories.

This course helped me to learn more about Rasch analysis and Winsteps.

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I feel that this course taught me the how and why of what I see in my daily work.