Research and Improvement of Content-Based Image Retrieval Framework

Hou, Yong; Wang, Qingjun

doi:10.1142/s021800141850043x

Cited by 40 publications

(16 citation statements)

References 7 publications

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“…In increasingly complex competitive martial arts routine competitions, athletes must complete fine, stable, high-quality and difficult sports in order to achieve outstanding performance. Therefore, it is very important to find a technology suitable for real-time image extraction [1]. VR technology can import multiple images at once, and quickly perform intelligent image matching and stitching.…”

Section: Introductionmentioning

confidence: 99%

Retracted: Martial Arts Routine Difficulty Action Technology VR Image Target Real-Time Extraction Simulation

Sun

Shi-hong

et al. 2020

IEEE Access

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With the gradual increase in the difficulty of competitive martial arts, athletes must complete fine, stable, high-quality and difficult movements in order to achieve excellent performance. The real-time extraction of martial arts movements is a topic that many martial arts enthusiasts care about. This research mainly discusses the real-time extraction and simulation of VR image targets of martial arts routine difficulty action technology. Considering the complex characteristics of martial arts movements, this article will analyze the preprocessing content of existing images. This includes image enhancement and image filtering, and uses median filtering methods to enhance the characteristics of the collected images. In this way, the visual effect of the original image can be improved, and the processed image will contribute to the subsequent segmentation. A new image segmentation method is proposed for the color model of the image. According to the H component of the HSV model representing the characteristics of chromaticity, the color image is transformed into the HSV model, and the H component is extracted. The histogram concept applies to H components. Based on the histogram of the H component, the segmentation threshold is determined, and the cropping target in the image is detected. Because the model space is very sensitive to color, VR technology is used to automatically determine the segmentation target. Combined with the above division methods, the automatic extraction of objects in the image is completed. The method of using VR technology for image extraction processing has high precision, and the error value is 3.92%<5%. The research results show that the VR segmentation results are good, suitable for image segmentation in complex backgrounds and automatic image extraction in complex backgrounds.

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Section: Introductionmentioning

confidence: 99%

Retracted: Martial Arts Routine Difficulty Action Technology VR Image Target Real-Time Extraction Simulation

Sun

Shi-hong

et al. 2020

IEEE Access

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“…Not only does it resemble real objects in appearance, but it also requires good performance in terms of form, light and shadow, and texture. To achieve this requirement, the technical implementation can be divided into four steps: the first step is geometric modeling, which mainly establishes the geometric model of the three-dimensional scene; the second step is image modeling, which mainly focuses on the results of geometric modeling Perform material, lighting, color and other processing [19]; the third step is behavior modeling, which mainly deals with the behavior and motion description of objects [20][21]. As shown in Fig.…”

Section: Conceptual Model Of Virtual Realitymentioning

confidence: 99%

The application of virtual reality technology in the digital preservation of cultural heritage

Zhong

Wang

Zhang

2021

ComSIS

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Virtual reality technology involves computer graphics, artificial intelligence, network, sensor technology and many other aspects. It can use the powerful computing and graphics processing capabilities of computers to provide alternatives to the original and express its visual, tactile, and auditory technical means. According to archaeological research data And documentary records, virtual reconstruction and simulated display of the cultural heritage that has been wiped out. "Digital protection" of cultural heritage is a new way of protection, relying on computer technology, and the use of digital equipment to collect, save, process, output and disseminate the required information, including databases established on computer systems, So as to achieve the purpose of information sharing and dissemination. This article mainly studies the application research of virtual reality technology in the digital preservation of cultural heritage. Create an immersive environment for users, display the objects realistically in the virtual reality system, thereby digitizing the technical protection of cultural heritage; secondly, use the virtual environment model of material cultural protection to build and use the terrain to generate and edit The device imitates the terrain of the natural world to achieve its position and the effect of being in it. Finally, the radial basis function is used to calculate the value in the virtual environment, so that the digital preservation of cultural heritage is more accurate. Experimental data shows that 35.54% and 64.46% of users are more likely to use the handle to interact with three-dimensional objects. They believe that the speed of the handle has changed and the control is more precise. Experimental results show that: The virtual environment reality technology specification is more efficient than the original technology in the process of digitizing cultural heritage.

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“…Image enhancement. Image enhancement refers to the processing method that highlights some information in an image according to specific needs, 35 and, at the same time, melts or removes some unnecessary information. Enhanced images can often enhance the recognition ability of special information, often used to improve the visual effect of the image, get more direct and clear images, and provide better conditions for feature extraction, feature point matching, and so on.…”

Section: Image Grayscalementioning

confidence: 99%

Three-dimensional mechanical parts reconstruction technology based on two-dimensional image

Huo

2020

International Journal of Advanced Robotic Systems

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With the development of computer technology and three-dimensional reconstruction technology, three-dimensional reconstruction based on visual images has become one of the research hotspots in computer graphics. Three-dimensional reconstruction based on visual image can be divided into three-dimensional reconstruction based on single photo and video. As an indirect three-dimensional modeling technology, this method is widely used in the fields of film and television production, cultural relics restoration, mechanical manufacturing, and medical health. This article studies and designs a stereo vision system based on two-dimensional image modeling technology. The system can be divided into image processing, camera calibration, stereo matching, three-dimensional point reconstruction, and model reconstruction.In the part of image processing, common image processing methods, feature point extraction algorithm, and edge extraction algorithm are studied. On this basis, interactive local corner extraction algorithm and interactive local edge detection algorithm are proposed. It is found that the Harris algorithm can effectively remove the features of less information and easy to generate clustering phenomenon. At the same time, the method of limit constraints is used to match the feature points extracted from the image. This method has high matching accuracy and short time. The experimental research has achieved good matching results. Using the platform of binocular stereo vision system, each step in the process of three-dimensional reconstruction has achieved high accuracy, thus achieving the three-dimensional reconstruction of the target object. Finally, based on the research of three-dimensional reconstruction of mechanical parts and the designed binocular stereo vision system platform, the experimental results of edge detection, camera calibration, stereo matching, and three-dimensional model reconstruction in the process of three-dimensional reconstruction are obtained, and the full text is summarized, analyzed, and prospected.

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Research and Improvement of Content-Based Image Retrieval Framework

Cited by 40 publications

References 7 publications

Retracted: Martial Arts Routine Difficulty Action Technology VR Image Target Real-Time Extraction Simulation

Retracted: Martial Arts Routine Difficulty Action Technology VR Image Target Real-Time Extraction Simulation

The application of virtual reality technology in the digital preservation of cultural heritage

Three-dimensional mechanical parts reconstruction technology based on two-dimensional image

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