RESEARCH AREAS

Cutting edge Research in Computer Vision and Machine Learning

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Volterra-based convolution filter implementation in Torch

Download the layer’s code from here: VolterraConvolution.zip The code is based on the following publication: G. Zoumpourlis, A. Doumanoglou, N. Vretos, P. Daras, “Non-linear Convolution Filters for CNN-based Learning”, IEEE International Conference on Computer Vision (ICCV 2017), Venice, Italy, October 22-29 2017

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FORENSOR: Action Recognition

Action Recognition via Motion Analysis In this method, the first step of performing real-time object tracking is based on background subtraction. Initially, the algorithm grabs an image of the background, assuming that the frame is empty of subjects. Subsequently, while capturing each new frame, the background is subtracted by the newly acquired image and the resulted outcome is thresholded to form a foreground binary mask. This mask is further enhanced by the morphological operation of dilation and finally a connected…

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Factory2Fit – Developing the Factories of the Future

The Factory2Fit Project By developing solutions to make the factory environment more flexible and adaptable, the Factory2Fit project will bring increased worker motivation, satisfaction and productivity. It will help current and future workers to become knowledge workers in smart factories with fulfilling careers. The Factory2Fit Idea The core idea behind the Factory2Fit project is that the workers are experts in their own work – therefore they should have an active role in designing their work. The adaptation solutions that Factory2Fit will deliver are based on a…

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Sensorimotor Object Recognition 3D Dataset

The CERTH-SOR3D dataset contains 20830 instances of human-object interactions. The capturing process involved three synchronized Microsoft Kinect v2 sensors (three capturing views) under controlled environmental conditions. The available data contain 1) RGB videos (1920×1080 pixels ), 2) depth map sequences (512×424 pixels). and c) 3D optical flow fields. Visit the official site

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VCL goes fashion!

VCL’s research in multimedia analysis and retrieval, supported by EU funded and national projects, generated state of the art knowledge and tools applicable to many multimedia related domains. The need for applying similar techniques on the fashion industry data led VCL researchers to build the VSeen visual analysis platform, specifically tuned for the fashion domain. VSeen is a visual search engine and a set of supporting services that were designed with the guidance of our end users, i.e. big Italian fashion brands. VSeen currently is…

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ICT4Life: Use of sensors for new integrated care services

With an increasingly growing population in Europe, cognitive impairments are a major social and public health issue. According to the World Alzheimer Report (WHO) [1], dementia, including Alzheimer’s disease, remains one of the biggest global public health challenges our generation is facing. The number of people living with dementia worldwide is estimated as of now at 44 million, set to almost double by 2030 and more than triple by 2050. Cognitive impairment, however, is further deteriorated if individuals also suffer…

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H Βραδιά του Ερευνητή 2016

  Έξυπνη πλοήγηση του κοινού και ενημέρωση μέσω Bluetooth Low Energy (BLE) beacons. Το TheBeaconProject επιδεικνύει την δυνατότητα συνεργασίας IoT συσκευών όπως τα beacons με τις έξυπνες συσκευές των χρηστών (κινητά τηλέφωνα, wearables, tablets κ.α.) για την καθοδήγηση επισκεπτών σε χώρους διαδραστικών εκθεμάτων, μέσω στοχευμένων μηνυμάτων. Ενεργοποιήστε το Bluetooth® στη συσκευή σας και αφήστε τα beacons να σας οδηγήσουν στα εκθέματα του Εργαστηρίου Υπολογιστικής Όρασης του Ινστιτούτου Τεχνολογιών Πληροφορικής και Επικοινωνιών! Κατεβάστε την εφαρμογή  

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VCL at ICIP 2016

The Visual Computing Lab will showcase its Tele-Immersive platform in the International Conference in Image Processing (ICIP), at Phoenix, Arizona, September 25-28 2016. The presented technology is based on the work accepted into ICIP’s technical program: 3D TELE-IMMERSION PLATFORM FOR INTERACTIVE IMMERSIVE EXPERIENCES BETWEEN REMOTE USERS

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Visual Computing Lab

The focus of the Visual Computing Laboratory is to develop new algorithms and architectures for applications in the areas of 3D processing, image/video processing, computer vision, pattern recognition, bioinformatics and medical imaging.

Contact Information

Dr. Petros Daras, Principal Researcher Grade Α
1st km Thermi – Panorama, 57001, Thessaloniki, Greece
P.O.Box: 60361
Tel.: +30 2310 464160 (ext. 156)
Fax: +30 2310 464164
Email: daras@iti.gr