• 대한전기학회
Mobile QR Code QR CODE : The Transactions of the Korean Institute of Electrical Engineers
  • COPE
  • kcse
  • 한국과학기술단체총연합회
  • 한국학술지인용색인
  • Scopus
  • crossref
  • orcid
The Transactions of the Korean Institute of Electrical Engineers

The Transactions of the Korean Institute of Electrical Engineers

ISO Journal TitleTrans. Korean. Inst. Elect. Eng.
SCImago Journal & Country Rank

Journal Search

  1. Home
  2. Archive
  3. 2020-12 (Vol.69 No.12)
  4. 10.5370/KIEE.2020.69.12.1962
XML PDF INFO REF

References

1 
B. Wang, S. A. R. Florez, V. Frémont, 2014, Multiple obstacle detection and tracking using stereo vision: application and analysis, The 13th Intl. Conf. on Control, Automation, Robotics, and VisionDOI
2 
K. Huh, J. Park, J. Hwang, D. Hong, 2008, A stereo vision based obstacle detection system in vehicles, Optics and Lasers in Eng., Vol. 46, No. 2, pp. 168-178DOI
3 
Z. Wang, Z. Zheng, 2008, A region based stereo matching algorithm using cooperative optimization, IEEE Int. Conf. Computer Vision and Pattern Recognition, pp. 1-8DOI
4 
M. Brown, D. Burschka, G. Hager, 2003, Advances in comput- ational stereo, IEEE Trans. Pattern Analysis and Machine Intelligence, Vol. 25, No. 8, pp. 993-1008DOI
5 
H. Hirschmuller, P. Innocent, J. Garibaldi, 2004, Real-time correlation based stereo vision with reduced border errors, Intl. J. of Computer Vision, Vol. 47, No. 1-3, pp. 229-246DOI
6 
Q. Yang, L. Wang, R. Yang, 2006, Real-time global stereo matching using hierarchical belief propagation, BMVC, pp. 989-998Google Search
7 
S. Jin, J. Cho, X. Pham, 2010, FPGA design and implement- ation of a real-time stereo vision system, IEEE Trans. Cir. and Syst. for Video technol., Vol. 20, No. 1, pp. 15-26DOI
8 
K. Ambrosch, W. Kubinger, 2010, Accurate hardware-based stereo vision, Computer Vision and Image Understanding, Vol. 114, No. 11, pp. 1303-1316DOI
9 
N. Chang, T. Tsai, B. Hsu, Y. Chen, T. Chang, 2010, Algorithm and achitecture of disparity estimation with mini-census adaptive support weight, IEEE Trans. Cir. and Syst. for Video technol., Vol. 6, No. 20, pp. 792-806DOI
10 
R. Fan, Y. Liu, M. J. Bocus, M. Liu, 2018, Real-time subpixel fast bilateral stereo, Proc. of the IEEE Intl. Conf. on Information and Automation, pp. 1058-1065DOI
11 
M. Dehnavi, M. Eshghi, 2018, Cost and power efficient FPGA based stereo vision system using directional graph transform, J. of Vis. Commun. Image R., Vol. 56, pp. 106-115DOI
12 
K. J. Yoon, I. S. Kweon, 2006, Adaptive support-weight approach for correspondence search, IEEE Trans. Pattern Analysis and Machine Intelligence, Vol. 28, pp. 650-656DOI
13 
K. J. Yoon, I. S. Kweon, 2008, Distinctive Similarity Measure for stereo matching under point ambiguity, Computer Vision and Image Understanding, Vol. 112DOI
14 
N. Chang, T. Tsai, B. Hsu, Y. Chen, T. Chang, 2010, Algorithm and architecture of disparity estimation with mini-census adaptive support weight, IEEE Trans. Cir. and Syst. for Video technol., Vol. 20, No. 6, pp. 792-805DOI
15 
S. E. Palmer, 1999, Vision Science: Photons to Phenomenology, Bradford Books, MIT PressGoogle Search
16 
S. Jin, J. Cho, X. Pham, K. Lee, S. Park, M. Kim, J. Jeon, 2010, FPGA design and implementation of a real-time stereo vision system, Trans. Cir. and Syst. for Video technol., Vol. 20, No. 1, pp. 15-26DOI