Sentence examples for analysis for recognition of from inspiring English sources

Current results and innovative approaches using computer vision analysis for recognition of PCB structure aiming to build error-free net lists through a net list merging algorithm are depicted in this paper.

The crucial step of image analysis for recognition of agglomerates is to differentiate, in the groups of particles, those particles that are only visually in contact (i.e., they are occluded or overlapped from the point of view of a camera) from actual physical agglomerates (Fig. 1).

This approach, called adaptive Bayesian inference system (BasIS), uses a probabilistic formulation with a sequential analysis method, for recognition of walking activities performed by participants.

Malvern Instruments Ltd released an application note [4] describing the image analysis method for recognition of agglomerates based on multiple morphological properties of particles, such as size, convexity, and/or circularity.

In this paper, we propose a method for recognition of human actions by analysis of skeleton poses.

Principal Component Analysis (PCA) and Modular PCA (MPCA) are well known statistical methods for recognition of facial images.

The antibodies were then tested for recognition of native OPN protein by ELISA and immunoblot analysis.

Through knockout analysis RIG-I has been shown to be the primary recognition receptor for majority of RNA viruses, while MDA5 is the major receptor for recognition of picornaviruses.

Later, Teague [38] suggested the notion of moments based on the theory of orthogonal polynomials to develop efficient algorithms for shape analysis and recognition of patterns in images.

For example, the analysis or recognition of a shape is often perturbed by noise, thus the smoothing of object boundaries is a necessary preprocessing step.

This full-polarimetric radar is conceived for the analysis and the recognition of non cooperative aircraft in flight.