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Tytuł artykułu

Proste metody tworzenia map głębokości i wypełniania luk informacyjnych przy konwersji obrazów 2D do 3D

Identyfikatory
Warianty tytułu
EN
Simple binary depth map generation and color component hole filling for 2D to 3D image corwersion
Języki publikacji
PL
Abstrakty
PL
W artykule przedstawiono metody tworzenia map głębokości oraz wypełniania luk informacyjnych powstających podczas konwersji obrazów 2-wymiarowych na 3-wymiarowe, co może być wykorzystane np. w systemach monitoringu CCTV. Tworzenie map głębokości wykorzystuje rozpoznawanie i śledzenie obiektów w sekwencji wizyjnej. Do wypełnienia luk informacyjnych opracowano metodę lustrzanego odbicia przefiltrowanej czerwonej składowej obrazu.
EN
In this paper a depth map generation and the red color component hole filling approach to the 3D effects e.g. in monitoring systems is presented. The binary depth map generation is based on the object recognition and tracking. The proposed hole (occlusion) filling method uses the red color component mirroring and filtering. This can be used in CCTV monitoring systems.
Rocznik
Strony
9--13
Opis fizyczny
Bibliogr. 20 poz., il.
Twórcy
autor
autor
autor
  • Poznań University of Technology, Chair of Control and System Engineering, Division of Signal Processing and Electronic Systems
Bibliografia
  • [1] Tarn W. J., Zhang L.: 3D-TV Content Generation: 2D-to-3D Conversion. Multimedia and Expo. IEEE International Conference on, July 2006, Pages: 1869-1872.
  • [2] Chang Y. L. i in., Depth Map Generation for 2D-to-3D Conversion by Short-Term Motion Assisted Color Segmentation. Multimedia and Expo. IEEE International Conference on, July 2-5 2007, Pages: 1958-1961.
  • [3] Ideses I., Yaraslavsky L. P., Fishbain B.: Real-time 2D to 3D video conversion. Real-Time Image Proc (2007) 2:3-9.
  • [4] Redert A. i in.: Philips 3D Solutions: From Content Creation to Visualization. 3D Data Processing, Visualization, and Transmission, Third International Symposium on, June 2006, Pages: 429-431.
  • [5] Kim D., Min D., Sohn K.: Stereoscopic Video Generation Method Using Motion Analysis. 3DTV Conference, May 7-9 2007, Pages: 1-4.
  • [6] Ideses I. i in.: Depth Map Quantization - How Much is Sufficient? 3DTV Conference, 7-9 May 2007, Pages: 1-4.
  • [7] Zhang L., Tarn W. J.: Stereoscopic image generation based on depth images for 3D TV. Broadcasting, IEEE Transactions on. Volume 51, Issue 2, June 2005, Pages: 191-199.
  • [8] Balcerek J., Dąbrowski A., Konieczka A.: Simple efficient techniques for creating effective 3D impressions from 2D original images. Proc. of Signal Processing NTAV/SPA'2008, Poland Section, Chapter Circuits and Systems IEEE, Poznań, Poland, 25-27th September 2008, Pages: 219-224.
  • [9] Balcerek J., A. Konieczka, A. Dąbrowski, M. Stankiewicz, A. Krzykowska: Brightness Correction and Stereovision Impression Based Methods of Perceived Quality Improvement of CCTV Video Sequences. Proc. of 4th International Conference MCSS 2011. June 2-3, Krakow, Poland. Springer, 2011, Pages: 64-72.
  • [10] Marciniak T., Jackowski D., Pawłowski P., Dąbrowski A.: Real-time people tracking using DM6437 EVM. Proc. of SPA'2009, Poland Section, Chapter Circuits and Systems IEEE, Poznań, Poland, September, 24-26th 2009, Pages: 116-120.
  • [11] King Yuen Wong, Spetsakis M. E.: Tracking, Segmentation and Optical Flow. Dept. of Computer Science Centre for Vision Research York Technical Report CS-2003-09, Oct. 14 2003.
  • [12] Lucena M., Fuertes J. M., Perez de la Blanca N.: Using Optical Flow for Tracking. CIARP 2003, LNCS 2905, 2003, Pages: 87-94.
  • [13] Andrews R. J., Lovell B. C.: Color Optical Flow. Australian Pattern Recognition Society, Proceedings of the Workshop Digital Image Computing (2003), 2003. Pages: 135-139.
  • [14] Barren J. L., Fleet D. J., Beauchemin S. S.: Performance of Optical Flow Techniques. International Journal of Computer Vision, 12:1, Kluwer Academic Publisher, 1994, Pages: 43-77.
  • [15] Onural L.: An Overview of Research In 3DTV. Systems, Signals and Image Processing, 2007 and 6th EURASIP Conference focused on Speech and Image Processing, Multimedia Communications and Services. 14th International Workshop on, 27-30 June 2007, Page: 3.
  • [16] Dumbreck A. A., Smith C. W.: 3-D TV displays for industrial applications. Stereoscopic Television, IEEE Colloquium on, 15th Oct 1992, Pages: 7/1-7/4.
  • [17] Dubois E.: A projection method to generate anaglyph stereo images. 2001. Proceedings. (ICASSP'01). 2001 IEEE International Conference on. Volume 3, 7-11 May 2001 Pages: 1661-1664.
  • [18] Usselsteijn W. A., de Ridder H., Vliegen J.: Subjective evaluation of stereoscopic images: effects of camera parameters and display duration. Circuits and Systems for Video Technology. IEEE Transactions on, Volume 10, Issue 2, March 2000, Pages: 225-233.
  • [19] Gallagher A. C.: Detecting anaglyph images with channel alignment features. Proc. of 2010 17th IEEE International Conference on Image Processing (ICIP), 26-29 September 2010, Hong Kong, Pages: 2985-2988.
  • [20] Stelmach L. i in., Stereo image quality: effects of mixed spatio-temporal resolution. Circuits and Systems for Video Technology, IEEE Transactions on. Volume 10, Issue 2, March 2000, Pages: 188-193.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BWA1-0052-0051
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