›› 2012, Vol. 42 ›› Issue (04): 1032-1036.

Previous Articles     Next Articles

Fast stereo matching algorithm used in stereo video coding based on video plus depth

ZHAO Yan, LIU Jing, CHEN He-xin, LIU Bo-xuan   

  1. College of Communication Engineering, Jilin University, Changchun 130022, China
  • Received:2011-06-10 Online:2012-07-01 Published:2012-07-01

PDF (PC)

361

Abstract: Large amount of data and less efficiency of stereo matching algorithm are far from meeting the needs of real-time transmission. A Fast stereo matching algorithm used in stereo video coding based on video plus depth is proposed. It utilizes motion information generated in the reference view coding as compensation in depth coding to reform disparity estimation in the stereo matching process. The information will be reorganized as the disparity estimation of Frame P for the subsequent iteration. Full use of the existing coding information reduces the complexity of disparity map generated in Frame P. Experimental results demonstrate that the proposed method can double the speed of generating the disparity map.

Key words: information processing, video plus depth, stereo matching, stereo video, motion vector

CLC Number: 

  • TN919.81
[1] Schafer R.Review and future directions for 3D-video//Proceedings of the Picture Coding. Beijing,China,2006:1-11.
[2] 耿英楠,赵岩,陈贺新. 基于运动估计的置信度传播立体视频匹配算法[J]. 吉林大学学报:信息科学版,2010,28(4):330-333. Geng Ying-nan,Zhao Yan,Chen He-xin. Stereo video matching algorithm of belief propagation based on motion estimation[J]. Journal of Jilin University(Information Science Edition),2010,28(4):330-333.
[3] Larsen E S, Mordohai P, Pollefeys M, et al. Temporally consistent reconstruction from multiple video streams using enhanced belief propagation//IEEE Int Conf on Computer Vision (ICCV)-2007, Rio de Janeiro, Brasil, 2007.
[4] Shawn Lankton. 3D vison with stereo disparity. http://www.shawnlankton.com/.
[5] Bleyer M, Gelautz M. A layered stereo matching algorithm using image segmentation and global visibility constraints[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 2005,59(3):128-150.
[6] Lee S, Oh K, Ho Y. Segment-based multi-view depth map estimation using belief propagation from dense multi-view video//IEEE 3D-TV Conf, Istanbul, Turkey, 2008.
[7] 葛亮,朱庆生,傅思思,等. 改进的立体像对稠密匹配算法[J]. 吉林大学学报:工学版,2010,40(1):212-217. Ge Liang,Zhu Qing-sheng,Fu Si-si,et al. Improved image dense stereo matching algorithm[J]. Journal of Jilin University(Engineering and Technology Edition), 2010,40(1):212-217.
[8] Comaniciu D,Meer P. Mean shift:a robust approach toward feature space analysis[J]. PAMI, 2002,24(5):603-619.
[9] 殷虎,王敬东,李鹏. 一种基于彩色图像分割的立体匹配算法[J]. 红外技术,2009,31(12):702-707. Yin Hu,Wang Jing-dong,Li Peng. A stereo matching algorithm based on color image egmentation[J]. Infrared Technology,2009,31(12):702-707.
[10] 周秀芝,王润生. 基于像元集的置信传递立体匹配[J]. 中国图像图形学报,2008,13(3):506-512. Zhou Xiu-zhi,Wang Run-sheng. Pixel-set based stereo matching by using belief propagation[J]. Journal of Image and Graphics, 2008,13(3):506-512.
[11] 张春田,苏育挺,张静. 数字图像压缩编码[M].北京:清华大学出版社,2006.
[1] YING Huan,LIU Song-hua,TANG Bo-wen,HAN Li-fang,ZHOU Liang. Efficient deterministic replay technique based on adaptive release strategy [J]. Journal of Jilin University(Engineering and Technology Edition), 2018, 48(6): 1917-1924.
[2] LIU Zhong-min,WANG Yang,LI Zhan-ming,HU Wen-jin. Image segmentation algorithm based on SLIC and fast nearest neighbor region merging [J]. Journal of Jilin University(Engineering and Technology Edition), 2018, 48(6): 1931-1937.
[3] SHAN Ze-biao,LIU Xiao-song,SHI Hong-wei,WANG Chun-yang,SHI Yao-wu. DOA tracking algorithm using dynamic compressed sensing [J]. Journal of Jilin University(Engineering and Technology Edition), 2018, 48(6): 1938-1944.
[4] YAO Hai-yang, WANG Hai-yan, ZHANG Zhi-chen, SHEN Xiao-hong. Reverse-joint signal detection model with double Duffing oscillator [J]. 吉林大学学报(工学版), 2018, 48(4): 1282-1290.
[5] QUAN Wei, HAO Xiao-ming, SUN Ya-dong, BAI Bao-hua, WANG Yu-ting. Development of individual objective lens for head-mounted projective display based on optical system of actual human eye [J]. 吉林大学学报(工学版), 2018, 48(4): 1291-1297.
[6] CHEN Mian-shu, SU Yue, SANG Ai-jun, LI Pei-peng. Image classification methods based on space vector model [J]. 吉林大学学报(工学版), 2018, 48(3): 943-951.
[7] CHEN Tao, CUI Yue-han, GUO Li-min. Improved algorithm of multiple signal classification for single snapshot [J]. 吉林大学学报(工学版), 2018, 48(3): 952-956.
[8] MENG Guang-wei, LI Rong-jia, WANG Xin, ZHOU Li-ming, GU Shuai. Analysis of intensity factors of interface crack in piezoelectric bimaterials [J]. 吉林大学学报(工学版), 2018, 48(2): 500-506.
[9] LIN Jin-hua, WANG Yan-jie, SUN Hong-hai. Improved feature-adaptive subdivision for Catmull-Clark surface model [J]. 吉林大学学报(工学版), 2018, 48(2): 625-632.
[10] WANG Ke, LIU Fu, KANG Bing, HUO Tong-tong, ZHOU Qiu-zhan. Bionic hypocenter localization method inspired by sand scorpion in locating preys [J]. 吉林大学学报(工学版), 2018, 48(2): 633-639.
[11] YU Hua-nan, DU Yao, GUO Shu-xu. High-precision synchronous phasor measurement based on compressed sensing [J]. 吉林大学学报(工学版), 2018, 48(1): 312-318.
[12] WANG Fang-shi, WANG Jian, LI Bing, WANG Bo. Deep attribute learning based traffic sign detection [J]. 吉林大学学报(工学版), 2018, 48(1): 319-329.
[13] LIU Dong-liang, WANG Qiu-shuang. Instantaneous velocity extraction method on NGSLM data [J]. 吉林大学学报(工学版), 2018, 48(1): 330-335.
[14] TANG Kun, SHI Rong-hua. Detection of wireless sensor network failure area based on butterfly effect signal [J]. 吉林大学学报(工学版), 2017, 47(6): 1939-1948.
[15] LI Juan, MENG Ke-xin, LI Yue, LIU Hui-li. Seismic signal noise suppression based on similarity matched Wiener filtering [J]. 吉林大学学报(工学版), 2017, 47(6): 1964-1968.
Viewed
Full text


Abstract

Cited
  Shared   
  Discussed   
No Suggested Reading articles found!
Copyright © Journal of Jilin University(Engineering and Technology Edition), All Rights Reserved.
Tel: +86-431-85095297　Fax: +86-431-85094074　E-mail: xbgxb@jlu.edu.cn
Powered by Beijing Magtech Co. Ltd