This article illustrates the application of the Kalman filter in real-time human re-identification tasks to improve accuracy, reliability, and reduce computational costs while determining a person's position and orientation. The use of the Kalman filter addresses noise filtering and prediction issues in human re-identification tasks.
The paper reveals a method of highly productive determination of normalized vectors for the surfaces of threedimensional objects. The method is based on the approximated calculation of even vectors of the rasterization line by adding the odd neighboring unit vectors. For the determination of further need in the normalization of obtained vectors, the computation of special threshold metrics is proposed. For the accelerated calculation of the threshold metrics, the developed expressions are given. In case of normalization of even vectors, it is recommended to use the developed polynomial approximate expressions. The plots of relative errors between obtained simplified and reference expressions are given. The possibility of increasing the productivity of the method by calculating the shared vector coordinate increments for each rasterization line is analyzed. The experimental research of productivity gain from the new method usage is carried out. During the study, the six variants of possible method usage are considered. The results of the research analysis are given in the table. The new method is designed for usage in highly effective visualization systems.
Paper presents the possibilities of the polarization-singular approaches to increase the efficiency of differential Muellermatrix polarimetry diagnosis of histological sections of biopsy of adenoma and adenocarcinoma of the prostate with excellent balanced accuracy. Physically substantiated and experimentally determined the effectiveness of the method of 3D layered Jones-matrix mapping of preparations of polycrystalline films of blood plasma and saliva in the diagnosis of malignant conditions of prostate tissue. Physically substantiated and experimentally determined the effectiveness of the 3D method of direct and with spatial-frequency filtering of layer-by-layer polarization mapping of preparations of polycrystalline films of blood in differentiating malignant conditions of prostate tissue.
KEYWORDS: Telecommunications, Navigation systems, Laser systems engineering, Laser development, Signal processing, Optical filters, Atmospheric optics, Optical communications, Digital signal processing, Computing systems
The article introduces an approach to solving the problem of small beam divergence in data transmission using lasers. A combined model for calculating and classifying laser beam spots is developed, the developed scheme is modeled and the solution speed is analyzed. , the developed method showed good efficiency and can be used for calculating the coordinates of laser beam spots and their further classification. It can be useful in such systems as laser beam profiling systems, fiber optic communication systems, laser navigation and tracking systems in military affairs, and atmospheric optical communication lines.
KEYWORDS: Photonic integrated circuits, Data compression, Statistical analysis, Associative arrays, Data processing, Data modeling, Computer programming, Data conversion, Binary data, Algorithm development
Basic coding methods for data compression in optical transmission are considered. A parallel-hierarchical transformation is proposed as a means of addressing the shortcomings of the methods considered. Pyramid-linear and pyramid-nonlinear coding at the functional level are given. The corresponding number of elements in the masks was calculated. The efficiency of the developed method compared to known methods was analyzed. The compression ratio and data compression conditions were determined.
KEYWORDS: Signal detection, Image processing, Image analysis, Video, Signal to noise ratio, Interference (communication), Signal processing, Image compression, Switching, Signal generators
The article identifies invariance to image rotation as one of the main problems in image processing. A pyramidal method of generalized spatial processing was proposed as a means to solve the problem specified. The principle of signal processing according to the developed method is presented with an example of its implementation. A comparison of the developed preparation method with the contour preparation method was carried out. As a result, the level of immunity of the developed method to disturbance under Gaussian noise was determined.
The paper discusses the possibility of time-logic functions (LTF) using polynomial, extending the formal mathematical apparatus to practical problems of pattern recognition. Reviewed operations on LTF have been presented in case of submitting them in the form of polynomials as well as hardware implementation of these operations have been discussed.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.