Naslovnica Pretraživanje AA
WP2: REINFORCEMENT OF INFRASTRUCTURE FOR SCIENCE-INDUSTRY COLLABORATION
 
 
PUBLIKACIJE NASTALE NA PROJEKTU VISTA

U okviru istraživanja na projektu VISTA objavljeno je više znanstvenih publikacija:

  • N. Banić and S. Lončarić. Smart light random memory sprays Retinex: a fast Retinex implementation for high-quality brightness adjustment and color correction. Journal of the Optical Society of America. A, Optics, image science, and vision. 32.11 (2015): 2136-2147.

  • N. Banić and S. Lončarić. Firefly: A Hardware-Friendly Real-Time Local Brightness Adjustment Method. IEEE International Conference on Image Processing (ICIP) 2015.

  • N. Banić and S. Lončarić. Color Dog: Guiding the Global Illumination Estimation to Better Accuracy. 10th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISAPP). Berlin, Germany, 2015.

  • N. Banić and S. Lončarić. A Perceptual Measure of Illumination Estimation Error. 10th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISAPP). Berlin, Germany, 2015.

  • I. Krešo and S. Šegvić. Improving the Egomotion Estimation by Correcting the Calibration Bias. 10th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISAPP). Berlin, Germany, 2015.

  • J. Krapac and S. Šegvić. Weakly Supervised Object Localization with Large Fisher Vectors. 10th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISAPP). Berlin, Germany, 2015.

  • N. Banić and S. Lončarić. Color Cat: Remembering Colors for Illumination Estimation. Signal Processing Letters, IEEE 22.6 (2015): 651-655.

  • I. Harbaš and M. Subašić. CWT-Based Detection of Roadside Vegetation Aided by Motion Estimation.  Visual Information Processing (EUVIP), 2014 5th European Workshop on, Dec. 10-12, 2014 Paris, France. 

  • D. Jurić and S. Lončarić. A Unified Approach for On-Road Visual Night-time Vehicle Light Detection. 10th International Symposium on Visual Computing, Las Vegas, USA.

  • D. Jurić and S. Lončarić. A Method for On-road Night-time Vehicle Headlight Detection and Tracking. The 3rd International Conference on Connected Vehicles and Expo, Vienna, Austria.

  • I. Harbaš and M. Subašić. Motion Estimation Aided Detection of Roadside Vegetation, Image and Signal Processing (CISP), 2014 7th International Congress on , 14-16 Oct. 2014, Dalian, China.

  • N. Banić and S. Lončarić. Improving the White patch method by subsampling. IEEE International Conference on Image Processing (ICIP) 2014, pp. 605-609.

  • I. Marković, M. Bukal, J. Ćesić and I. Petrović. Direction-only tracking of moving objects on the unit sphere via probabilistic data association. 17th International Conference on Information Fusion (FUSION). Salamanca, Spain, 2014.

  • D. Jurić and S. Lončarić. Warning and Prohibitory Traffic Sign Detection based on Edge Orientation Gradients. Third Croatian Computer Vision Workshop 2014, Zagreb, Croatia.
  • Ćesić, Josip; Marković, Ivan; Jurić-Kavelj, Srećko; Petrović, Ivan. Detection and tracking of dynamic objects using 3D laser range sensor on a mobile platform. 11th International Conference on Informatics in Control, Automation and Robotics (ICINCO). Vienna, Austria, 2014.
  • Ćesić, Josip; Marković, Ivan; Petrović, Ivan. Tracking of multiple moving objects on the unit sphere using a multiple-camera system on a mobile robot. The 13th International Conference on Intelligent Autonomous Systems (IAS). Padova, Italy, 2014.

  • Ivan Sikiric, Karla Brkic, Josip Krapac and Sinisa Segvic. Image Representations on a Budget: Traffic Scene Classification in a Restricted Bandwidth Scenario. IEEE Intelligent Vehicles. 2014. Dearborn, Michigan, USA.
  • I. Harbaš and M. Subašić. Detection of Roadside Vegetation Using Features from the Visible Spectrum. MIPRO 2014/CIS, pp. 1454 -1459 (MIPRO2014 Proceedings). Opatija, Croatia.
  • K. Kovačić, E. Ivanjko and S. Varela. Real time vehicle country of origin classification based on computer vision. ISEP 2014.
  • N. Banić and S. Lončarić, Color Rabbit: Guiding the Distance of Local Maximums in Illumination Estimation, in Digital Signal Processing (DSP), 2014 19th International Conference on. IEEE, 2014, pp. 345–350. Hong-Kong, China.
  • K. Kovačić, E. Ivanjko and H. Gold. Real time vehicle detection and tracking on multiple lanes. WSCG 2014.
  • N. Banić and S. Lončarić. Improving the Tone Mapping Operators by Using a Redefined Version of the Luminance Channel. ICISP 2014, LNCS 8509, pp. 392-399, 2014.
  • N. Banić and S. Lončarić. Color Badger: A Novel Retinex-Based Local Tone Mapping Operator. ICISP 2014, LNCS 8509, pp. 400-408, 2014.
  • N. Banić and S. Lončarić. Light Random Sprays Retinex: Exploiting the Noisy Illumination Estimation. Signal Processing Letters, IEEE 20.12 (2013): 1240-1243.
  • N. Banić and S. Lončarić. Using the Random Sprays Retinex Algorithm for Global Illumination Estimation. Proceedings of the Croatian Computer Vision Workshop 2013, pp. 3-8, (arXiv).
  • M. Lopar and S. Ribarić. An Overview and Evaluation of Various Face and Eyes Detection Algorithms for Driver Fatigue Monitoring Systems.  Proceedings of the Croatian Computer Vision Workshop 2013, pp. 15-18 (arXiv).
  • K. Kovačić, E. Ivanjko and H. Gold. Computer Vision Systems in Road Vehicles: A Review. Proceedings of the Croatian Computer Vision Workshop 2013, pp. 25-30 (arXiv).
  • I. Krešo, M. Ševrović and S. Šegvić. A Novel Georeferenced Dataset for Stereo Visual Odometry. Proceedings of the Croatian Computer Vision Workshop 2013, pp. 43-48 (arXiv).
  • Valentina Zadrija and Siniša Šegvić. Multiclass Road Sign Detection Using Multiplicative Kernel. Proceedings of the Croatian Computer Vision Workshop 2013, pp. 37–42.
  • Ivan Sikirić, Karla Brkić and Siniša Šegvić. Classifying Traffic Scenes Using The GIST Image Descriptor. Proceedings of the Croatian Computer Vision Workshop 2013, pp. 19–24.

TRAŽILICA
 
FINANCIRANJE
 

Projekt je sufinancirala Europska unija iz Europskog fonda za regionalni razvoj.
 
This project is cofinanced by the European Union from the European Regional Development Fund.
 
 
 

 

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