Award for the best bussines plan of the »Podjetna Primorska« initiative of 2010/2011. We received the award in the category of bussiness plans for potential university spin-off companies for our plan for an Animal Explorer, presented by Peter Maričić. The plan was concieved under the supervision of the Dr. Janez Žibert. A the core of the bussines idea is a biometric iris scanner that will make it easier to gather biometric data of animals. The scanner is used to identitfied of wild animals, farm animals as well as pets and make identification easier and more animal friendly compared to the existing approaches.
F.17 Transfer of existing technologies, know-how, methods and procedures into practice
In 2014 NIST organized a competition in speaker recognition as part of the Odyssey- Langauge and Speaker Recognition Workshop, which is the one of the most established scientific communication channels in the field of speaker recognition. More than 120 researchers entered the competition and together contributed more than 9000 distinct systems for evaluation. The system developed by the University of Ljubljana and our colleagues from the SME Alpineon incorporated duration information into the processing pipeline and ranked among the top ten performers of the competition. Our result in the competition contributed to the visibility of the university of Ljubljana and Alpineon in the speaker-recognition community. The system that was used in the competition is described in [COBISS.SI-ID 10818644].
E.02 International awards
COBISS.SI-ID: 10818644The paper introduces a novel framework for 3D face recognition that capitalizes on region covariance descriptors and Gaussian mixture models. The framework presents an elegant and coherent way of combining multiple facial representations, while simultaneously examining all computed representations at various levels of locality. The framework first computes a number of region covariance matrices/descriptors from different sized regions of several image representations and then adopts the unscented transform to derive low-dimensional feature vectors from the computed descriptors. By doing so, it enables computations in the Euclidean space, and makes Gaussian mixture modeling feasible. In the last step a support vector machine classification scheme is used to make a decision regarding the identity of the modeled input 3D face image. The proposed framework exhibits several desirable characteristics, such as an inherent mechanism for data fusion/integration (through the region covariance matrices), the ability to examine the facial images at different levels of locality, and the ability to integrate domain specific prior knowledge into the modeling procedure. We assess the feasibility of the proposed framework on the Face Recognition Grand Challenge version 2 (FRGCv2) database with highly encouraging results. It should be noted that the work was presented at the IEEE Conference on Automatic Face and Gesture Recognition (FG2013), which is ranked 4th in the world in the area of computer vision and pattern recognition according to Microsoft Academic Search. Based on our past work and networking activities at FG 2013, we also managed to win the bid for the 2015 IEEE FG conference in the name of the University of Ljubljana. Thus, from 2013 till 2015 we coordinated all organizational activites with respect to the conference, which was held in May 2015 Cankarjev Dom, Ljubljana. To the best of our knowledge, this iwas one of the biggest scientific events of 2015 in Slovenia. Details on the event can be found at www.fg2015.org.
B.01 Organiser of a scientific meeting
COBISS.SI-ID: 9821012The invention describes a novel method and device for capturing depth or 3D images, that uses pattern projection onto the observed scene. Prior work includes depth imaging methods that make use of a scene that has been illuminated by narrow beams of infra-red light (WO 2007/043036 A1, US 8.150.142 B2). Our research goal was set to find a method and device for capturing depth images od scenes, whereby the depth of all points on the scene should be determined in a simple manner without the necessity to determine the correspondence between the projected pattern and the image of this pattern. The major advantage of the proposed method and device for capturing depth images is that the depth of any point in the scene can be determined just by determining the distance of its image from the sensor spot that has been foreseen in advance for this particular point. A Slovenian patent was issued for the invention. We have also applied for a Euorpoean patent with respect to this invention. The patent is expected to clear in 2017.
F.33 Slovenian patent
COBISS.SI-ID: 11298900