TY - GEN
T1 - Linear protection grid optimized image stitching for mobile robots
AU - Zhou, Lulu
AU - Tian, Yanling
AU - Lu, Gang
AU - Wu, Xiaojun
AU - Zhang, Qieshi
N1 - Funding Information:
This work was supported by National Key R&D Program of China (NO. 2017YFB1402100), Fundamental Research Funds for the Central Universities (NO. GK201801004), Secretary and Professor Studio Program of SNNU (NO. SDTR201809), National Natural Science Funds of China (U1813205), Shenzhen Technology Project (JCYJ20180507182610734, J-CYJ20170413152535587), and Shenzhen Engineering Laboratory for 3D Content Generating Technologies (NO. [2017]476).
Publisher Copyright:
© 2018 IEEE
PY - 2019/8
Y1 - 2019/8
N2 - Image stitching can be used to in 3D reconstruction to obtain the comprehensive obstacle information, which plays an important role in the field of mobile robots.However, previous algorithms have two problems: 1. The linear structure of the image might have been corrupted. 2. Some inconsistency may exist in the transitional region of the stitched image. In order to solve above problems, in this paper, we propose a grid-based linear structure protection method, which applies the constraints to the lines extracted from the image to protect them from the distortion caused by the mesh deformation process, and resulting in a natural panorama with reduced distortion. This method helps to obtain a natural panoramic image with reduced distortion. At the same time, we use the neighbor weighted based boundary artifact removal approach to process the stitched image, which can avoid the stitching problem and can make the image look more natural. We conducted some experiments, and the results demonstrated that our method is more efficient and more natural as compared with some state-of-the-art methods.
AB - Image stitching can be used to in 3D reconstruction to obtain the comprehensive obstacle information, which plays an important role in the field of mobile robots.However, previous algorithms have two problems: 1. The linear structure of the image might have been corrupted. 2. Some inconsistency may exist in the transitional region of the stitched image. In order to solve above problems, in this paper, we propose a grid-based linear structure protection method, which applies the constraints to the lines extracted from the image to protect them from the distortion caused by the mesh deformation process, and resulting in a natural panorama with reduced distortion. This method helps to obtain a natural panoramic image with reduced distortion. At the same time, we use the neighbor weighted based boundary artifact removal approach to process the stitched image, which can avoid the stitching problem and can make the image look more natural. We conducted some experiments, and the results demonstrated that our method is more efficient and more natural as compared with some state-of-the-art methods.
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U2 - 10.1109/RCAR47638.2019.9043984
DO - 10.1109/RCAR47638.2019.9043984
M3 - Conference contribution
AN - SCOPUS:85089136127
T3 - 2019 IEEE International Conference on Real-Time Computing and Robotics, RCAR 2019
SP - 661
EP - 666
BT - 2019 IEEE International Conference on Real-Time Computing and Robotics, RCAR 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2019 IEEE International Conference on Real-Time Computing and Robotics, RCAR 2019
Y2 - 4 August 2019 through 9 August 2019
ER -