TY - GEN
T1 - 2D to 3D conversion based on disparity map estimation
AU - Gonzalez-Huitron, V.
AU - Ramos-Diaz, E.
AU - Kravchenko, V.
AU - Ponomaryov, V.
N1 - Publisher Copyright:
© Springer International Publishing Switzerland 2014.
PY - 2014
Y1 - 2014
N2 - Different hardware implementations of designed automatic 2D to 3D video color conversion employing 2D video and sequence are presented. The analyzed frameworks include together processing of neighboring frames using the following blocks: CIELa*b* color space conversion, wavelet transform (WT) with edge detection using HF wavelet sub-bands (HF, LH and HH) or pyramidal scheme, color segmentation via k-means on a*b* color plane, up-sampling in wavelet case, disparity map (DM) estimation, adaptive postfiltering, and finally, the anaglyph 3D scene generation. The SSIM and QBP criteria are applied in order to compare the performance of the proposed frameworks against other 3D computation techniques. The designed techniques has been implemented on DSP TMS320DM648, Matlab’s Simulink module over a PC with Windows 7, and using graphic card (NVIDIA Quadro K2000) demonstrating that the proposed approach can be applied in real-time processing mode.
AB - Different hardware implementations of designed automatic 2D to 3D video color conversion employing 2D video and sequence are presented. The analyzed frameworks include together processing of neighboring frames using the following blocks: CIELa*b* color space conversion, wavelet transform (WT) with edge detection using HF wavelet sub-bands (HF, LH and HH) or pyramidal scheme, color segmentation via k-means on a*b* color plane, up-sampling in wavelet case, disparity map (DM) estimation, adaptive postfiltering, and finally, the anaglyph 3D scene generation. The SSIM and QBP criteria are applied in order to compare the performance of the proposed frameworks against other 3D computation techniques. The designed techniques has been implemented on DSP TMS320DM648, Matlab’s Simulink module over a PC with Windows 7, and using graphic card (NVIDIA Quadro K2000) demonstrating that the proposed approach can be applied in real-time processing mode.
KW - 3D image
KW - Anaglyph
KW - DSP
KW - Disparity map
KW - Real-time
KW - Wavelet
UR - http://www.scopus.com/inward/record.url?scp=84949157286&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-12568-8_119
DO - 10.1007/978-3-319-12568-8_119
M3 - Contribución a la conferencia
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 982
EP - 989
BT - Progress in Pattern Recognition Image Analysis, Computer Vision and Applications - 19th Iberoamerican Congress, CIARP 2014, Proceedings
A2 - Bayro-Corrochano, Eduardo
A2 - Hancock, Edwin
PB - Springer Verlag
T2 - 19th Iberoamerican Congress on Pattern Recognition, CIARP 2014
Y2 - 2 November 2014 through 5 November 2014
ER -