Image Processing and Pattern Recognition Group > Research

Research

Research fields

 

2D and 3D Image Processing and Recognition

• Features extraction and measurements from intensity images
• Pattern recognition
• Image texture detection and analysis
• Automatic extraction of semantic information from images and video data for annotation purposes
• Camera calibration
• Binocular and trinocular stereovision
• Stereovision for mobile robots and automotive applications
• Design and implementation of hardware solutions for stereovision using FPGA technology

 

Stereovision Based Perception for Driving Assistance Systems and Autonomous Driving

• 3D lane detection
• 3D objects detection and tracking
• 3D objects classification
• Pedestrian detection
• 3D structured/unstructured environment modeling
• Risk assessment

 

Medical Image Processing

• Texture based detection and classification of diffuse and focal illness from Ultrasound Images
• Structured reporting for medical images
• DICOM infrastructure implementation

 

 

Research projects

 

Recent research projects

  • "DEEP PERCEPTION - Deep Learning Based 3D Perception for Autonomous DriviDeeng", grant funded by Romanian Ministry of Education and Research, code PN-III-P4-PCE-2021-1134, PCE 113 (2022-2024)

  • "SEPCA - Integrated Semantic Visual Perception and Control for Autonomous Systems", grant funded by Romanian Ministry of Education and Research, code PN-III-P4-ID-PCCF-2016-0180, (2018-2022)

  • "CAMELEON - Compact image Acquisition and position MEasurement system for targets in the LEO raNge", grant funded by Romanian Ministry of Education and Research, code PN-III-P2-2.1-PED-2019-4819 (2020-2022)

  • "DeepSense - Advanced environment perception techniques based on Deep Learning and probabilistic estimators", grant funded by Romanian Ministry of Education and Research, code PN-III-P1-1.1-TE-2016-0440 (2018-2020)

  • "MULTISPECT - Multispectral environment perception by fusion of 2D and 3D sensorial data from the visible and infrared spectrum", grant funded by Romanian Ministry of Education and Research, code PN-III-P4-ID-PCE-2016-0727(2017-2019)

  • "UP-DRIVE - Autonomous parking and driving" , Horizon 2020 project (2016-2019)
  • "MULTIFACE - Multifocal System for Real Time Tracking of Dynamic Facial and Body Features", grant funded by Romanian Ministry of Education and Research, code PN-II-RU-TE-2014-4-1746 (2015-2017)
  • "R5-COP - Reconfigurable ROS-based Resilient Reasoning Robotic Cooperating Systems", FP7 ARTEMIS project, (2014-2017)
  • “MRS - Measuremnet of road surface using stereo”, - research project financed by Robert Bosch GmbH, Germany (2013-2016)
  • "CoMoSeF - Co-operative Mobility Services of the Future", Celtic Plus project, (2012-2015).
  • "PAN-Robots - Plug And Navigate ROBOTS for smart factories", FP7 project (2012 – 2015). 
  • "Cooperative Advanced Driving Assistance System Based on Smart Mobile Platforms and Road Side Units – SmartCoDrive", grant funded by Romanian Ministry of Education and Research, code PN II PCCA 2011 3.2-0742 din 03.07.2012 (2012-2016).
  • "MULTISENS - Multi-scale and multi-modal perception of the 3D dynamic environments by fusion of the dens stereo, dens optical flow and visual odometry data", grant funded by Romanian Ministry of Education and Research, code PN II IDEI 2011 (2012-2016)
  • "AMHEOS - Automatic Medium and High Earth Orbit Observation System Based on Stereovision", grant funded by Romanian Ministry of Education and Research, code PN-II-PT-PCCA-2011-3.2-0651 (2012-2016)
  • "DRIVE C2X", FP7 project (2011-2014).
  • "INSEMTIVES - Incentives for Semantics", FP7 project (2010 – 2012)
  • "LarKC - LarKC: The Large Knowledge Collider", FP7 project (2010 – 2011)
  • “INTERSASFE2 - Cooperative Intersection Safety”,  FP7 project (2008 – 2011) 
  • “PERSENS - Sensorial Perception and World Model Representation for Driving Assistance Systems”, grant founded by Romanian Ministry of Education and Research, CNCSIS, code 1522/2009, (2009-2011)
  •  "LEOSCOP - Experimental Low Earth Orbit Surveillance Stereoscope", grant, founded by  Romanian Ministry of Education and Research, CNMP: 82-093 / 2008, (2008-2011)
  •  “Stereo System Modular Design – MODULAR”, research project funded by Volkswagen AG, Germany, (2008-2009)
  •  “Dense STEREO-Based Object Tracking and CLASSification for Pre-Crash-Applications – STEREOCLASS”, research project funded by Volkswagen AG, Germany, (2008)
  •  "DESPED - Stereo-Based Object Tracking and Pedestrian Recognition in Traffic environments" - international research project financed by Volkswagen AG, Germany (2006-2007)
  • "DESBOR - DEnse Stereo-Based Object Recognition system for automatic cruise control (ACC) in urban traffic environments" - international research project financed by Volkswagen AG, Germany (2005-2007)
  •  "Method and system for real-time acquisition of high-resolution 3D images based on trinocular stereo-vision" - national research grant financed by Romanian Ministry of Research (2004 - 2006)
  •  "SCABOR - Stereo Camera Based Object Recognition System for Vehicle Application" - international research project financed by Volkswagen AG, Germany (2001 - 2004) 
  •  "Intelligent System for the Noninvasive Detection and Evaluation of Liver Fibrosis, Restructuration and Dysplastic Nodules, Using 2d/3D Ultrasound and Molecular Markers - SIDEF", Contract CEEX VIASAN 71/2006 (2006 - 2008)

    • Older Projects

    • Study and implementation of a hardware device for real-time convolution. Beneficiary: Tolmi Electronics Ltd. Ireland
    • Study of the computational matching strategies based on fitting the model to symbolic structures. Implementation of an experimental model-based recognition system for industrial objects, with application in robotics. Beneficiary: Romanian Ministry of Education and Research
    • Study and implementation of a method for symbolic representation of knowledge in model-based recognition. Beneficiary: Romanian Ministry of Education and Research
    • Model-based industrial objects recognition with application in robotics. Beneficiary: Romanian Ministry of Education and Research
    • Pattern recognition methods based on descriptors and syntactic descriptions. Beneficiary: ITC Cluj Napoca