Computer Vision

5 Dec 2016

Alberto Lago wins the prize “Itsasargia 2016”

2019-10-25T13:20:09+02:00Categories: Computer Vision|Tags: , , , , |0 Comments

Our colleague Alberto Lago has been awarded the “Itsasargia 2016” (lighthouse in Basque language) by Vicinay Marine Innovation (VMi). This award recognizes the external partner that represents the VMi values, that person and guides them with their professional work and involvement. VMi is the R&D&i unit of the Vicinay Marine group and works on solutions for anchoring of floating infrastructures on the offshore industry providing advanced products, processes and services to their customers. Vicinay and Tecnalia hold a stable long term collaboration in different fields and technologies. Alberto is cooperating in projects that provide intelligence to the production process, cooperating on the data acquisition process with the aim of making Vicinay a reference for Industry 4.0. Alberto Lago is one member of the project development team and his unbeatable professionalism as well as his character and initiative have earned him this recognition. Congratulations Alberto! [...]

2 Dec 2016

New PhD on Tecnalia Computer Vision

2019-10-25T13:20:11+02:00Categories: Computer Vision|Tags: , , |0 Comments

Our colleague at Tecnalia Computer Vision, Arantza Bereciartua has successfully presented her PhD dissertation at the Control Engineering and Automatics Department of the University of the Basque Country. This work has been co-tutored among this University and Tecnalia. The work presents a 3D variational segmentation method for liver segmentation over multisequence mRI images. This work has also been presented in [Computer Methods and Programs in Biomedicine] and in [Biomedical Signal Processing and Control] journals. Congratulations!

11 Nov 2016

Automated image analysis solutions for identification, cataloguing and monitoring of urban assets to enhance sustainability.

2019-10-25T13:20:12+02:00Categories: Computer Vision|Tags: , , , , , |0 Comments

“Nature-based solutions” are actions inspired by nature which use the features and complex system processes of nature, such as its ability to store carbon and regulate water flows, in order to help societies address a variety of environmental, social and economic challenges in sustainable ways. Nature based solutions examples are green roofs, green walls, urban farms, etc. Knowing the capacity of a city to host these types of nature based solutions allows defining what adaptation actions are available in the municipality, which needs to be modified, new areas that could accommodate these solutions and finally identify what their potential for climate change adaptation with such solutions. Tecnalia Research & Innovation, with experience in the specific subject of climate adaptation, has developed a methodology to identify and map NBS in municipalities through the call KLIMATEK I + B + G: Projects R & D, Innovation and demonstration in climate change adaptation 2016. [...]

4 Jan 2016

New PhD on Tecnalia Computer Vision

2019-07-19T12:11:06+02:00Categories: Computer Vision|Tags: , , |0 Comments

Our colleague at Tecnalia Computer Vision, Adrián Galdrán has successfully presented his PhD dissertation at the Applied Mathematics Department of the University of the Basque Country. This work has been co-tutored among this University and Tecnalia. The work, entitled “Visibility Recovery on Images Acquired in Attenuating Media. Application to Underwater, Fog, and Mammographic Imaging”, presents novel variational algorithms to restore the information contained on degraded images acquired under attenuating conditions such as, underwater, haze or human tissue. This restoration plays an essential role for the performance of ulterior image analysis and understanding algorithms. The developed algorithms have been already applied to natural, underwater, medical and steel process images both for restoration purposes and to improve the performance of analysis algorithms. Congratulations!

1 Dec 2015

Tecnalia Computer Vision certified as GEI

2019-07-19T12:11:42+02:00Categories: Computer Vision|Tags: , , , , , , |0 Comments

The Computer Vision group has been awarded with the International Excellence Group (GEI) recognition by Tecnalia. At Tecnalia, GEI recognition is given to highly specialized teams that outstand both on academic research (PhD Thesis, patents exploited by 3rd parties, relevant research papers…) and on market oriented approach (International R&D contracts, development of technological assets… ). The existence of these groups at Tecnalia potentiates focused applied research with greater outcomes to industry. Tecnalia evaluation committee highlighted the international contracts with different transnational companies of our group and the international awards received by the team. We would like to thank our collaborators and companies that along these years have trusted in the group.

27 Nov 2015

Call for Applications: CO·SI 2016 Mas

2019-07-19T12:12:04+02:00Categories: Computer Vision|Tags: , |0 Comments

Tecnalia actively collaborates with Erasmus Mundus Joint Master Degree CO·SI (Colour in Science and Industry). COSI / COlour in Science and Industry / is a two-year (120 ECTS) Erasmus+ Joint Master Degree, aiming to train the next generation of highly-skilled industrial experts in applied colour science, in various cutting-edge industries (photonics, optics, spectral imaging, multimedia technologies, computer graphics and vision) in a diverse range of sectors (including multimedia, health care, cosmetic, automotive, food-processing) bridging a talent gap in the industry where colour experts are in high demand. The 2 area of focus are spectral technologies and applied colour imaging. COSI is brought to you by a world leading university-business cooperation of 4 European universities (University Jean Monnet, University of Granada, University of Eastern Finland and Gjovik University College), 5 Asian universities and 15 industrial leaders across the globe. Call for Applications for 2016-2018 intake is now open! Apply [...]

10 Jun 2015

Pickable: New 2D cable robot developed by TECNALIA

2019-10-25T13:20:17+02:00Categories: Computer Vision|Tags: , , , , |0 Comments

The project ‘Robotics and flexible automation of food product packaging’ known as ‘PicknPack’ is a project of 4 years duration which holds a total budget of EUR 11,88Millon and an European Union contribution of 8,76Millon. It is coordinated by the University of Wageningen in the Netherlands and the consortium is made up of 14 partners from 9 different countries, including Tecnalia from the Division of Industry and Transport. PicknPack began on November, 2012 to provide the European food industry the benefits of flexible production, offering the advantage of reducing costs by increasing safety and hygiene in the packaging of its products by combining the unique ability to adapt to each product and lot size. In PicknPack 3 main modules that work in close cooperation are developed: a sensor module for evaluating the quality of the product, a robotic handling module guided by machine vision and an adaptive packaging [...]

9 Feb 2015

Color image processing for bathymetric measurement improvement on Euskadi beaches

2019-10-25T13:20:22+02:00Categories: Computer Vision|Tags: , , , |0 Comments

AZTI-Tecnalia (, a technological center with expertise on marine and food research, works on the study of coastline dynamics with the goal of establishing its relationship with its morphology and usages, given that this relationship is the one controlling, for instance, the flooding of maritime walks, beach configurations, or the suitability of conditions for leisure uses of the coastline. Of special interest is the analysis of the dynamics of beaches where a high degree of urbanization and exposure to the sea, together with a great environmental and economic value, makes them be in a fragile equilibrium. Spatial (from hundreds of meters till kilometers) and temporal (hours, days) scales characterizing the dynamics of the coast imply the unsuitability of conventional, limited and costly measurement techniques, to study the behavior of these coastal system. Fortunately, image and video-based measuring techniques (commonly known as coastal video-monitoring) allow us nowadays to describe [...]

29 Sep 2014

Tecnalia presents recent work on Image Improvement under Hazy and Foggy Conditions at European Conference on Computer Vision ECCV – Zurich, Swiss

2019-10-25T13:20:23+02:00Categories: Computer Vision|0 Comments

Tecnalia has presented new results on image restoration in a paper entitled “A Variational Framework for Image Dehazing” in this year European Conference on Computer Vision. This work is fruit of joint collaboration with Pompeu Fabra University at Barcelona and the Basque Country University. Image dehazing consists on the restoration of images captured under adverse weather conditions, such as haze or fog. These images typically exhibit low contrast and faded colors, which may severely limit the visibility within the scene. Unveiling the image structure under the haze layer and recovering vivid colors out of a single image remains a challenging task, since the degradation is depth-dependent and conventional methods are unable to handle this problem. The developed work extends a well-known perception-inspired variational framework for the task of single image dehazing. The previous framework consisted on minimizing the following energy: where I is the degraded image. The [...]

14 Apr 2014

Alzheimer: descubriendo lo invisible

2019-07-04T13:45:24+02:00Categories: Computer Vision|Tags: |0 Comments

Alzheimer´s disease causes symptoms such as memory loss, disorientation or mood swings in those suffering from it, but, what exactly changes in the brain and how can we improve its detection? Magnetic resonance imaging (MRI) opens the possibility of examining the structure, the metabolism or the functionality of the brain and thereby, numerous analysis tools have been developed to understand and extract the information they carry. One of the most common techniques is “Voxel-based morphometry” or VBM (Ashburner and Friston, 2000), used to identify brain regional atrophy by statistically comparing a group of patients with a group of controls. Figure 1 describes the steps involved in a VBM analysis. Figure 1: Steps of a VBM analysis. VBM studies to date have exploited T1-weighted MRIs, which were designed to enhance the MRI signal contrast between grey and white matter tissues (Figure 2). They are therefore suitable for detecting [...]

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