TY  - EJOU
AU  - Zhang, Tao 
AU  - Cao, Yi 

TI  - Indoor Scene Splicing Based on Genetic Algorithm and ORB
T2  - Intelligent Automation \& Soft Computing

PY  - 2022
VL  - 33
IS  - 3
SN  - 2326-005X

AB  - The images generated by the image stitching algorithm have false shadow and poor real-time performance, and are difficult to maintain visual consistency. For this reason, a panoramic image stitching algorithm based on genetic algorithm is proposed. First, the oriented fast and rotated brief (ORB) algorithm is used to quickly perform detection and description of feature, then the initial feature point pairs are extracted according to the Euclidean distance for feature point rough matching, the parallelism of genetic algorithm is used to optimize the feature point matching performance. Finally, the PROSAC algorithm is used to remove mismatched point pairs and get the transformation matrix to complete the image stitching.
KW  - Indoor scene; image stitching; false shadow; oriented fast and rotated brief; genetic algorithm

DO  - 10.32604/iasc.2022.027082