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2022 ◽  
Vol 16 (4) ◽  
pp. 109-121
Author(s):  
Sh. N. Khaziev

Patterns similar to the papillary patterns of human fingers, palms, and soles can be found in living and inanimate nature. Studying such patterns and the structure of the ridged skin of humans and primates in comparison with similar formations on other objects is necessary for forensic science, forensic traceology, fingerprinting, and biometric identification. The article analyzes the history of the study of the ridged skin of humans, primates, and other animals by forensic scientists, zoologists, anthropologists, and representatives of other sciences.The author proposes systemizing and classifying the information about the analogs of papillary patterns and ridged skin on such grounds as the genus and type of carrier objects, relief structure, degree of comparability with the papillary pattern of human hands and soles.The article presents the most indicative varieties of analogs of papillary patterns in mammals, birds, fish, insects, corals, plants, and fungi. The author has studied and systemized structural features of the striped pattern of the skin of tigers and zebras, crests and stripes in corals, stripes and ridged patterns in fish. The data obtained on ridge formations, which are similar in structure and shape to the papillary patterns of human fingers and palms, will help to avoid expert errors during fingerprinting examination or erroneous placement of images of such formations in forensic databases.Knowledge of the structural features and properties of striped patterns of skins of specially protected wild animals, as well as the crest surface of paleontological museum objects, should be used for their identification by photo and video images in cases of embezzlement, smuggling, illegal hunting, and illegal trafficking.


2022 ◽  
Vol 2022 ◽  
pp. 1-8
Author(s):  
Saisai Xu

With the continuous development of social economy, sports have received more and more attention. How to improve the quality of sports has become the focus of research. The computer digital 3D video image processing is introduced in this paper, taking shooting as the starting point, in which computer digitization technology is used to collect images of sequence targets through combining the operation flow of shooting, monitor the results and data of shooting and process 3D video images, conduct the analyze and mine according to the corresponding statistical processing results, and evaluate the corresponding training. The simulation experiment proves that the computerized digital 3D video image processing is effective and can scientifically support sports-assisted training.


2022 ◽  
Vol 2022 ◽  
pp. 1-11
Author(s):  
Feng Shan ◽  
Youya Wang

The depth synthesis of image texture is neglected in the current image visual communication technology, which leads to the poor visual effect. Therefore, the design method of film and TV animation based on 3D visual communication technology is proposed. Collect film and television animation videos through 3D visual communication content production, server processing, and client processing. Through stitching, projection mapping, and animation video image frame texture synthesis, 3D vision conveys animation video image projection. In order to ensure the continuous variation of scaling factors between adjacent triangles of animation and video images, the scaling factor field is constructed. Deep learning is used to extract the deep features and to reconstruct the multiframe animated and animated video images based on visual communication. Based on this, the frame feature of video image under gray projection is identified and extracted, and the animation design based on 3D visual communication technology is completed. Experimental results show that the proposed method can enhance the visual transmission of animation video images significantly and can achieve high-precision reconstruction of video images in a short time.


Author(s):  
Victor Golikov ◽  
Oleg Samovarov ◽  
Daria Chernomorets ◽  
Marco Rodriguez-Blanco

The video images captured at long range usually have low contrast floating objects of interest on a sea surface. A comparative experimental study of the statistical characteristics of reflections from floating objects and from the agitated sea surface showed the difference in the correlation and spectral characteristics of these reflections. The functioning of the recently proposed modified matched subspace detector (MMSD) is based on the separation of the observed data spectrum on two subspaces: relatively low and relatively high frequencies. In the literature the MMSD performance has been evaluated in generally and moreover using only a sea model (additive Gaussian background clutter). This paper extends the performance evaluating methodology for low contrast object detection and moreover using only the real sea dataset. This methodology assumes an object of low contrast if the mean and variance of the object and the surrounding background are the same. The paper assumes that the energy spectrum of the object and the sea are different. The paper investigates a scenario in which an artificially created model of a floating object with specified statistical parameters is placed on the surface of a real sea image. The paper compares the efficiency of the classical Matched Subspace Detector (MSD) and MMSD for detecting low-contrast objects on the sea surface. The article analyzes the dependence of the detection probability at a fixed false alarm probability on the difference between the statistical means and variances of a floating object and the surrounding sea.


2021 ◽  
Vol 6 (1) ◽  
pp. 1-27
Author(s):  
Masayuki Iwase ◽  
Joff P. N. Bradley

Abstract The authors explore the noncompliant pedagogy of the image based on their video Autopoietic Veering: Schizo Socius of Tokyo and Vancouver (2021). It is not the kind of trendy modelized video abstract or kinetic presentation eagerly promoted by international publishers; it is a cross-cultural collaborative work intended to generate affirmative temporal ruptures of entropic habitual modes of seeing, memorizing, and thinking of human and nonhuman life in the cities of Tokyo (Japan) and Vancouver (Canada). The authors elucidate Stiegler’s (2015b) concept of a “global mnemotechnical system” that stores and produces human memories in vast digital archives and databases (tertiary retentions) through “mnemonic control” (Parisi & Goodman, 2011). The authors repurpose video images to interrupt and recontrol human perception and memories as “living engines” (Lazzarato, 2006). They foreground the philosophical work of Deleuze, Heidegger, and Virilio to rethink and revive the creative act of “critique” (Foucault, 1997) through “metamodelization” (Guattari, 1995; Manning, 2020); therefore, they plug these apparently incommensurable modes of thinking into their readings of the video’s images. They read the images as “time-images” and focus on their five dimensions that possibly activate “spiritual automation” (Deleuze, 1989), which they assess as “negentropic bifurcatory” potentials (Bradley & Kennedy, 2019).


Author(s):  
Volodymyr Barannik ◽  
Natalia Barannik ◽  
Oleksandr Slobodyanyuk

It is shown that the current direction of increasing the safety of information resources when transmitting information in info-communication systems is the use of methods of steganographic instruction in video imagery. The effectiveness of such methods is significantly increased when used in a complex of methods of concealment, which are based on the principles of inconsistent and cosmic communication. At the same time, existing methods of steganographic are used in the process of insertion of information mainly only laws, empty features of visual perception of video images. So, it is justified that the scientific and applied problem, which is to increase the density of embedded messages in the video container with a given level of their reliability, is relevant. The solution of this problem is based on the solution of the contradiction, which concerns the fact that increasing the density of embedded data leads to a decrease in the bit rate of the video container, steganalysis stability, reliability of special information, and video container. Therefore, the research aims to develop a methodology for the steganographic embedding of information, taking into account the regularities of the video container, which are generated by its structural and structural-statistical features. The solution to the posed problem of applying steganographic transformations is proposed to be realised by methods of indirectly embedding parts of the hidden message in certain conditions or functional relationships. The possibility of creating steganographic transformations regarding the indirect embedding and extraction of hidden information in a multiadic basis by modifying the underlying basis system within an admissible set is demonstrated. It is shown that the multiadic system, which is created in the spectral space of DCT transforms, has the potential to form a set of admissible modifications of basis systems.


2021 ◽  
Vol 3 (1) ◽  
pp. 106-113
Author(s):  
V Chyhin ◽  

The possibility of creating a computer control system for an unmanned aerial vehicle using remote cloud computing according to predefined scenarios from the user's desktop is investigated. For this, an experimental setup was created, which includes a quadcopter, a personal computer with the Windows operating system, an on-board computer Raspberry-3 with the Linux operating system, a Pi Camera V2 camcorder, and a Pixhawk autopilot. To model the control and transmission of video images the own control programs and photo pursuit on a computer Raspberry-3 in Python are recorded. Based on the obtained results, a model of unmanned aerial vehicle control from the desktop of the user's personal computer via the on-board computer without the use of a standard control panel and operator is proposed.


2021 ◽  
Vol 11 (23) ◽  
pp. 11497
Author(s):  
Yifei Wei ◽  
Zhenhong Jia ◽  
Jie Yang ◽  
Nikola K. Kasabov

In this paper, we introduce a tone mapping algorithm for processing high-brightness video images. This method can maximally recover the information of high-brightness areas and preserve detailed information. Along with benchmark data, real-life and practical application data were taken to test the proposed method. The experimental objects were license plates. We reconstructed the image in the RGB channel, and gamma correction was carried out. After that, local linear adjustment was completed through a tone mapping window to restore the detailed information of the high-brightness region. The experimental results showed that our algorithm could clearly restore the details of high-brightness local areas. The processed image conformed to the visual effect observed by human eyes but with higher definition. Compared with other algorithms, the proposed algorithm has advantages in terms of both subjective and objective evaluation. It can fully satisfy the needs in various practical applications.


2021 ◽  
Vol 108 (Supplement_9) ◽  
Author(s):  
Jakub Chmelo ◽  
Joshua Brown ◽  
Pooja Prasad ◽  
Nick Hayes ◽  
Maziar Navidi ◽  
...  

Abstract Background Lymphadenectomy is essential for adequate oncological clearance and accurate staging during oesophagectomy for malignant disease. Adequate lymph node clearance has implications on patient outcomes and confers a survival benefit. Abdominal lymph node clearance may be technically challenging due to the location of nodes along key structures such as the common hepatic artery and splenic vessels. Robotic assistance during abdominal lymphadenectomy permits improved 3-D visualisation and instrument articulation in a potentially constricted space. This video demonstrates a technique for robotic abdominal lymphadenectomy during oesophagectomy. Methods This video demonstrates a technique for coeliac axis lymph node clearance during the abdominal phase of an oesophagectomy, as practiced at this institution. The intention for such a video is for ongoing appraisal and refinement of robotic techniques within the unit, as well as for teaching and training. The video was edited using iOS software, and text has been used to explain each step in conjunction with the images. Results Dissection of all relevant coeliac axis nodal stations is successfully demonstrated, with the lymph nodes resected en-bloc with the specimen. Text has also been used to explain the steps seen in the video images. Conclusions Robotic assistance permits safe and adequate lymphadenectomy during minimally invasive oesophagectomy, as demonstrated in this video.


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