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Textureshop: Scratching a new surface in photo editing Textureshop has created a new photo editing tool that combines existing techniques for shape-from-shading and texture synthesis to enable a user to texture objects... Read More Textureshop has created a new photo editing tool that combines existing techniques for shape-from-shading and texture synthesis to enable a user to texture objects in a photograph. The Textureshop tool allows user to give an object in a photo the appearance of a different texture. Textureshop added more patch deformations than previous models. Instead of selecting patch-like areas directly from source texture, this program distorts the texture coordinate of each of the pixels in the patch with surface normal, and then samples it from texture, so that the texture fits on the underlying surface. Benefits Easier to use - Existing professional photography editing programs require a long time commitment and appreciable skill to edit a feature of a photo while keeping it on the surface of an object in a scene. Operates on a single image - Methods previously employed to texture synthesis have used a series of images from different viewpoints. This application avoids the need for reconstructing global 3-D mesh, and synthesizes the texture instead on a network of individually parameterized surface patches, designed to operate on a single image.
Active Interactive Genetic Algorithms for Reducing User Fatigue and Boosting Evaluation Consistency in Search-Based Domain Interactive genetic algorithms (iGAs) depend on the evaluations or decisions provided by a user. The reliability of those evaluations is key for the successful... Read More Interactive genetic algorithms (iGAs) depend on the evaluations or decisions provided by a user. The reliability of those evaluations is key for the successful application of iGAs. However, even moderately-sized problems my require thousands of evaluations that are sometimes between rather similar solutions which can lead to frustration and inconsistent evaluations. This invention provides a scheme for actively combating user fatigue and inconsistency in iGAs. The efficiency gained from using an interactive procedure by requiring fewer evaluations is lost if the user is unable to provide consistent evaluations. This invention leads to the creation of active iGAs (aiGAs) which include steps of learning from human-computer interaction that actively guide the search-based interaction process. The innovation includes an evaluation-relaxation scheme that actively combats user fatigue and inconsistency by addressing two important issues: Lack of computable fitness Lack of a systematic method for modeling user-decision process Active iGAs optimize a synthetic fitness to obtain educated guesses of the user preferences and thereby reduce the number of user evaluations required. Three important components enable this invention to combat user fatigue and inconsistency. Partial Ordering: Qualitative decisions made by the user about relative solution quality are used to generate partial ordering of solutions Induced Complete Order: Concepts of non-domination and domination count from multi-objective evolutionary algorithms to induce a complete order of the solutions in the population based on their partial ordering Surrogate Function: Induced order is used to assign ranks to the solutions and use them Applications This technology provides the ability to solve difficult problems such as data management, engineering design and optimization, and time and resource allocation in large-scale businesses and organizations, more quickly, reliably, and accurately.
Assertion Generation Suite GoldMine software technology is an automated assertion generation tools to aid with the hardware design verification process. It uses data mining and static... Read More GoldMine software technology is an automated assertion generation tools to aid with the hardware design verification process. It uses data mining and static analysis to generate propositional and temporal assertions in Verilog RTL. The suite also includes: A Figure of Merit Evaluation feature - for evaluating and ranking assertions. Code Coverage Evaluations - for estimating the code covered by an assertion. Word Level Assertion Generation tool to make assertions more usable than those generated at bit level. For more information, visit the goldmine website: http://goldmine.csl.illinois.edu/
Patci Dr. Vetle Torvik fhas developed a new software tool for identifying scientific articles cited by patents. Using advanced probabilistic models and machine learning... Read More Dr. Vetle Torvik fhas developed a new software tool for identifying scientific articles cited by patents. Using advanced probabilistic models and machine learning, the software tracks down the links to databases containing a particular citation. It can determine the names of articles and the authors cited by the examiner even if the citation does not adhere to any standard format with improved accuracy over existing methods. For more information please see the poster here for details: https://www.ideals.illinois.edu/handle/2142/54885
Ripple: Communicating through Physical Vibration A novel technique for data transmission that uses vibration motors in all cell phones as transmitters and accelerometers as receivers. By carefully regulating the... Read More A novel technique for data transmission that uses vibration motors in all cell phones as transmitters and accelerometers as receivers. By carefully regulating the vibrations at the transmitter and sensing them through vibration sensors, two mobile devices can communicate. This is useful for security-sensitive applications such as mobile payments because vibrations are inherently more secure than RF broadcast in NFC or Bluetooth. The ubiquity of vibration motors in every cell phone, even in developing regions, presents an immediate market for vibratory communication
The Role of the Cochlear Processing in Human Speech Recognition This technology details five different methods of manipulating speech sounds to identify how they are processed, and measures the listener response to altered... Read More This technology details five different methods of manipulating speech sounds to identify how they are processed, and measures the listener response to altered speech sound, truncated speech sound, added noise, altered intelligibility, and morphed sounds. These methods allow for identification of the unique feature of each speech sound (e.g. time of onset and frequency).
Visualizations and Animations from the NCSA A number of scientific animations have been developed by the University of Illinois National Center for Supercomputing Applications (NCSA) Advanced Visualization... Read More A number of scientific animations have been developed by the University of Illinois National Center for Supercomputing Applications (NCSA) Advanced Visualization Laboratory (AVL) under the direction of Professor Kalina Borkiewicz. Examples of available animations include the Milky Way, black holes, tornado super-twisters, solar super-storms, and many more. AVL's animations are cinematic virtual tours through astrophysics, earth sciences, engineering, and other data domains. Their work has been shared through venues such as international digital-dome museum shows, high-definition documentary television programs, and IMAX movies. Their work has also been featured in productions such as The Science of Interstellar documentary, The Tree of Life and Europa Report, and the Dynamic Earth IMAX show. For more information, please visit the AVL website. Available Licenses NCSA AVL animations are available non-exclusively for commercial use under the two license agreements provided in the sidebar. Note that the financial terms, statement of attribution, and copyright notice need to be determined and finalized before the license is ready for execution. Please contact OTM at otm@illinois.edu or Professor Kalina Borkiewicz at kalina@illinois.edu. Commercial Use License Producer: a three-party license that is intended for use when an organization engages a separate producer or distributor. Commercial Use License: a two party license that is between the University and an organization
NAMD: Scalable Molecular Dynamics Software NAMD is parallel molecular dynamics software designed to provide high-performance simulations of large biomolecular systems. NAMD was developed by the ... Read More NAMD is parallel molecular dynamics software designed to provide high-performance simulations of large biomolecular systems. NAMD was developed by the Theoretical and Computational Biophysics Group under the direction of Professor Klaus Schulten in collaboration with other faculty and laboratories at the University of Illinois at Urbana-Champaign. To learn more about NAMD, please visit this website. Available Licenses The latest version of NAMD software is available free of charge for use by individuals, companies and academic institutions for non-commercial and internal business use only. The software is available under a ready-to-sign click-through agreement on the NAMD website. From this site, select the “Download NAMD” link and then the appropriate version of the software. You will be prompted to register (or login with your credentials), in order to review and accept the license, and to then receive access to software.
VMD: Visual Molecular Dynamics Software VMD is molecular visualization software for displaying, animating, and analyzing large biomolecular systems using 3-D graphics and built-in scripting. VMD was... Read More VMD is molecular visualization software for displaying, animating, and analyzing large biomolecular systems using 3-D graphics and built-in scripting. VMD was developed by the Theoretical and Computational Biophysics Group under the direction of Professor Klaus Schulten in collaboration with other faculty and laboratories at the University of Illinois at Urbana-Champaign. To learn more about VMD please visit this website. Available Licenses The latest version of VMD is available free of charge for use by individuals, companies and academic institutions for non-commercial and internal business purposes only. The software is available under a ready-to-sign click-through agreement on the VMD website. From this site, select the “Download VMD” link and then the appropriate version of the software. You will be prompted to register (or login with your credentials), in order to review and accept the license, and to then receive access to software.
A New Human Face Detection Algorithm and System Thomas Huang has been recognized worldwide as a pioneer in research involving topics such as computer vision and signal processing, winning numerous honors and awards for... Read More Thomas Huang has been recognized worldwide as a pioneer in research involving topics such as computer vision and signal processing, winning numerous honors and awards for his seminal contributions to these fields. One noteable invention is Huang's facial recognition software. Consisting of three modules - face detection, discriminative manifold learning, and multiple linear regression - the age-estimation software was trained on a database containing photos of 1,600 faces. The software can estimate ages from 1 year to 93 years. The software’s accuracy ranges from about 50 percent when estimating ages to within 5 years, to more than 80 percent when estimating ages to within 10 years. The accuracy has the potential to be improved through additional training on larger databases of faces. In addition to performing tasks such as security control and surveillance monitoring, age-estimation software also could be used for electronic customer relationship management. Through facial and emotion recognition algorithms, Huang and his team have also been able to reconstruct a 3D face according to the input image and then personalize the 3D face model. This allows for the possibility of having synthetic talking faces deliver messages, instead of text. A method for detecting an object in an image includes calculating a log L likelihood of pairs of pixels at select positions in the image that are derived from training images. The calculated log L likelihood of the pairs of pixels is compared with a threshold value. The object is detected when the calculated log L likelihood is greater than the threshold value.

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