Fast panoramic image stitching algorithm based on parameter regression

Fast panoramic image stitching algorithm based on parameter regression

Blog Article

In reality, the field of view of images acquired by cameras was usually limited, and the demand for panoramic images was increasing.Therefore, a fast panoramic image stitching blackmores ache relief algorithm based on parameter regression was proposed for panoramic image sequences.The traditional image registration task was transformed into deep learning combined with machine learning, a multi-scale deep convolutional neural network (MDCNN) based on Gaussian difference pyramid was designed to extract features of stitching images, and LightGBM regression model was used to predict stitching parameters.

The transformation matrix and the focal length of the camera were obtained to align the images, and a hyperbolic image fusion algorithm was designed to eliminate the stitching seam between the images.The experimental results show that the proposed algorithm can quickly mosaic images and obtain clearer stomahesive protective powder - 1 oz squeeze bottle (3) and more natural panoramic mosaic effects than the existing representative algorithms.It also has good adaptability for infrared images.