An Experimental Evaluation of Debayering Algorithms on GPUs for Recording Panoramic Video in Real-Time

Langseth, Ragnar; Gaddam, Vamsidhar Reddy; Stensland, Håkon Kvale; Griwodz, Carsten; Halvorsen, Pål; Johansen, Dag

doi:10.4018/ijmdem.2015070101

Cited by 4 publications

(4 citation statements)

References 19 publications

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“…At one time, "white porcelain" with high whiteness was also produced in this kiln, especially some of the porcelains from luochong kiln. The whiteness value reached more than 70 degrees, which was close to the whiteness value of white porcelain of Ding kiln at that time [10].…”

Section: Introductionsupporting

confidence: 77%

VR Technology in Bluish- white Porcelain Display Design of Fanchang Kiln

Hu¹,

Zhang

2024

IEEE Access

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With the world entering the new millennium, many rare cultural relics and architectural sites are in danger. It is very urgent and important to carry out rescue protection measures for some precious architectural heritages. This paper mainly studies the application of VR technology in the Bluish-white porcelain display design of Fanchang kiln. This paper analyzes the display elements of Bluish-white porcelain of Fanchang kiln from the principles and characteristics of Bluish-white porcelain display of Fanchang kiln, and discusses the characteristics of virtual display of Bluish-white porcelain of Fanchang kiln based on the characteristics of virtual display. The Bluish-white porcelain of Fanchang kiln is classified according to the use function, and the virtual display characteristics of different types of Fanchang kiln Bluish-white porcelain and their suitable virtual display mode are explored. Finally, combined with the panoramic image display technology and graphic VR display technology, the best virtual display mode suitable for different types of Fanchang kiln Bluish-white porcelain is made, and the interactive design is realized in the virtual software, and then the virtual display application is completed in the interactive projection of network and fixed occasions. Through the exploration of the virtual display mode of Fanchang kiln Bluish-white porcelain, the best virtual expression mode suitable for different types of Fanchang kiln Bluish-white porcelain is found. With the support of virtual reality technology, it realizes all-round browsing, scene roaming and information interaction of Fanchang kiln Bluish-white porcelain, providing an interactive platform for designers and consumers, so that the design can better meet the market demand, Improve efficiency. Experimental results show that the system runs smoothly in the application, and the user experience reaches more than 93.2%, which meets the actual application requirements.

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Section: Introductionsupporting

confidence: 77%

VR Technology in Bluish- white Porcelain Display Design of Fanchang Kiln

Hu¹,

Zhang

2024

IEEE Access

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“…When the change of the original image is not obvious, due to the neighborhood similarity of the processed image, the matching and tracking results of the gray-scale correlation algorithm generally will not produce errors. 8 However, in the target tracking process, the effects of reflections on the water surface, wide-angle distortion of the image, and noise interference during imaging will greatly affect the collected target information. Under the influence of noise, some pixels with their own background will be detected as moving areas in the detection results, or some areas in the moving target may be missed.…”

Section: Error Analysis Methods In the Algorithm Calculation Processmentioning

confidence: 99%

“…Template matching is one of the main research contents in graphics and image processing. When the change of the original image is not obvious, due to the neighborhood similarity of the processed image, the matching and tracking results of the gray-scale correlation algorithm generally will not produce errors 8 . However, in the target tracking process, the effects of reflections on the water surface, wide-angle distortion of the image, and noise interference during imaging will greatly affect the collected target information.…”

Section: Panoramic Multitarget Real-time Detection Methodsmentioning

confidence: 99%

(Retracted) Real-time detection of panoramic multitargets based on machine vision and deep learning

2022

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. With the continuous development of computer vision technology, moving object detection technology has been paid enough attention and made great progress. Many new methods and new equipment have been developed. As an important part of computer vision, it has important applications in battlefield reconnaissance, video surveillance, image compression and retrieval, human–computer interaction and other research fields, moving object detection and tracking algorithm has always been a research hotspot. We mainly study the panoramic multitarget real-time detection based on machine vision and deep learning. By studying the principle of multitarget real-time detection based on machine vision and deep learning, the panoramic multitarget real-time detection model based on machine vision and deep learning is determined. The principle and correction effect of existing image distortion correction algorithm are analyzed, and the existing problems are summarized. Aiming at the problem that the existing image distortion correction effect is not good, a new method based on machine vision and deep learning is proposed. A real-time panoramic multitarget detection method based on degree learning is proposed. The experimental results show that when the target is moving at medium speed and slow speed, the success rate of tracking is 97% and 95%, respectively; the probability of successful target detection is 100% and 97%, respectively. Experimental results show that the improved method can solve the problem of particle degradation and improve the accuracy of real-time detection.

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“…By using the head-mounted device to unfold the visual images of all parties in real time, the user can independently select the images to be viewed to achieve an "immersive" experience. On this basis, VR panoramic images have been used in medical, film, entertainment, education and other fields; the second part is VR video [10] research. VR video, as a combination of video information and computer technology, produces a new way.…”

Section: Introductionmentioning

confidence: 99%

Feasibility Analysis of VR Technology in Physical Education and Sports Training

2024

IEEE Access

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VR technology can simulate the complex environment; break through the limitations of traditional physical education curriculum on sports venues, equipment, safety and other aspects. It can provide scientific and accurate guidance for learners and obtain more technical knowledge by visualizing the complex and abstract sports theoretical knowledge. Compared with the traditional sports teaching activities, virtual reality technology can not only simulate the sports scene by generating VR panorama. On this basis, it can effectively improve learners' enthusiasm and motor skills. At present, due to the immaturity of VR technology and the high price of related equipment, people are cautious about the use of VR technology, so VR technology has not been popularized in education. In view of this situation, this paper studies whether VR technology can be effectively applied to physical education teaching and sports training. This paper is divided into four parts: the first part is the research of VR panorama; the second part is the research of VR video; the third part is the application of VR technology in physical education; the fourth part is the investigation. It is found that VR, as a new technology, has great application potential. As long as it is scientifically and reasonably used, VR can greatly promote the improvement of sports scene and the level of sports.

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An Experimental Evaluation of Debayering Algorithms on GPUs for Recording Panoramic Video in Real-Time

Cited by 4 publications

References 19 publications

VR Technology in Bluish- white Porcelain Display Design of Fanchang Kiln

VR Technology in Bluish- white Porcelain Display Design of Fanchang Kiln

(Retracted) Real-time detection of panoramic multitargets based on machine vision and deep learning

Feasibility Analysis of VR Technology in Physical Education and Sports Training

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