Various algorithms of calibration have been proposed by domestic and foreign scholars, including traditional visual calibration algorithm, camera self-calibration algorithm, and active-vision-based calibration algorithm. This paper focuses on some of the most widely used camera calibration algorithms and ...
Most initial research focused on the feasibility analysis of machine vision applications in agriculture and the development of image processing algorithms. With the rapid development of image acquisition devices and image processing technologies, the application of machine vision technology in agricultural ...
Cho and Kang [31] used object salience derived from region-based algorithms. Then they extracted features including disparity, motion, contrast, spatial complexity of salient objects and brightness and binocular asymmetries degree between left and right image to construct their model. The features were...
One of our recurring complaints with OnePlus phones over the years has been the lackluster camera optimization at launch. The OnePlus 9 Pro finally made moves towards delivering a consistent camera experience. The OnePlus 10 Pro builds on that legacy by adopting many of the same sensors and optim...
“Development of SIM reconstruction methods”, we first provide a summary of existing OS-SIM processing algorithms in the subsection “Development of OS-SIM reconstruction methods”. Then, in subsection “Development of 2D-SIM reconstruction methods”, we review the development of 2D-SIM ...
crowd analysis and finally violence detection in a crowd environment. Majority of the papers reviewed in this survey are based on deep learning technique. Various deep learning methods are compared in terms of their algorithms and models. The main focus of this survey is application of deep learni...
of use for both skilled and unskilled users (N. Bruno,2018; N. Bruno and Roncella,2019; Saygi and Remondino,2013). In conjunction with artificial intelligence, automated diagnosis can be performed within a machine-driven platform through deep learning algorithms for preliminary knowledge analysis ...
and data processing, as well as products for storage and transmission of data. The category also includes collections of data, such as databases (libraries) of spectra, as well as collections of calibration models used in conjunction with the still developing field of chemometric algorithms that an...
Analysis and synthesis of phase shifting algorithms based on linear systems theory August 2012 M. Servin, J.C. Estrada Review of fringe pattern phase recovery using the 1-D and 2-D continuous wavelet transforms August 2012 Lionel R. Watkins Measurement uncertainty of Carré-type phase-stepping al...
Genetic algorithms The GA is a model of machine learning, which derives its behavior from a representation of the processes of evolution in nature. This is done by the creation within a machine/computer of a population of individuals represented by chromosomes. Essentially these are a set of cha...