Correntropy-based robust affine ICPs available in the literature use point-to-point metric to estimate transformation between point clouds. However, traditional affine ICP variants are highly sensitive to effects such as noises, deformations, and outliers the least-square metric is substituted with the correntropy criterion to increase the robustness of ICPs to such effects. Various methods have been presented to overcome this problem in the literature and one of them is the affine variant of the iterative closest point (ICP) algorithm. There may be linear or non-linear transformation between point clouds, but determining the affine relation is more challenging among linear cases. The problem of matching point clouds is an efficient way of registration, which is significant for many research fields including computer vision, machine learning, and robotics. Between 35.5☌ and 36.7☌, from 12 o’clock to 14 o’clock, the integrity of the public space landscape model is as high as 97.2%. Moreover, this study also discusses the analysis results of temperature and time on the integrity of the landscape model. Then, we use the multi-image fusion method based on the dimensional closeness to merge and finally analyze the public space landscape model with extremely high integrity. Therefore, this study builds an excellent public space landscape model based on the 3D image processing of the visual sensor, establishes the coverage relationship table through the genetic algorithm and the greedy algorithm, and then uses the infrared image segmentation method of the local entropy combined with the region growth method to segment the 3D image of the vision sensor. Landscape designers also feel distressed by this and pursue this higher level, which can not only improve the living environment, but also make people being able to live and work in peace, and contentment is an honor for the landscape architect.
People are becoming more and more stringent about the landscape environment around them.
The landscape construction of public space has become a topic of discussion. With the continuous improvement of people’s living standards, the specific requirements for the quality of life are gradually increasing. It can be said that it is a hot topic at home and abroad high-end technology. With the rapid development of the times, the computing of the internet of things and the industry go hand in hand, the application of visual sensors is becoming more and more extensive, and the image fusion technology and target recognition technology have been further improved.
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