• Title/Summary/Keyword: 360 Product Image

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Study on the Emotional Response of VR Contents Based on Photorealism: Focusing on 360 Product Image (실사 기반 VR 콘텐츠의 감성 반응 연구: 360 제품 이미지를 중심으로)

  • Sim, Hyun-Jun;Noh, Yeon-Sook
    • Science of Emotion and Sensibility
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    • v.23 no.2
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    • pp.75-88
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    • 2020
  • Given the development of information technology, various methods for efficient information delivery have been constructed as the method of delivering product information moves from offline and 2D to online and 3D. These attempts not only are about delivering product information in an online space where no real product exists but also play a crucial role in diversifying and revitalizing online shopping by providing virtual experiences to consumers. 360 product image is a photorealistic VR that allows a subject to be rotated and photographed to view objects in three dimensions. 360 product image has also attracted considerable attention considering that it can deliver richer information about an object compared with the existing still image photography. 360 product image is influenced by divergent production factors, and accordingly, a difference emerges in the responses of users. However, as the history of technology is short, related research is also insufficient. Therefore, this study aimed to grasp the responses of users, which vary depending on the type of products and the number of source images in the 360 product image process. To this end, a representative product among the product groups that can be frequently found in online shopping malls was selected to produce a 360 product image and experiment with 75 users. The emotional responses to the 360 product image were analyzed through an experimental questionnaire to which the semantic classification method was applied. The results of this study could be used as basic data to understand and grasp the sensitivity of consumers to 360 product image.

Live-Action VR Re-lighting Pipeline Using Depth Information (깊이 정보를 활용한 실사 VR의 리라이팅 파이프라인)

  • Baek, Kwang-Ho;Lee, Junsang
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.22 no.9
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    • pp.1214-1219
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    • 2018
  • A variety of VR contents are being introduced as of 2017. VR contents are concentrated in the genre of games and interactive because of the difficulty of $360^{\circ}$ shooting production environment. Live action $360^{\circ}$ VR content has many problems due to the difficulty of the production environment. In this paper, a three - dimensional information value is generated in binocular disparity of a real image by using a re-light technique based on real image data. The generated 3D information values are combined with a technique of converting the depth information into a depth map and a re-light technique by installing virtual lighting on the surface formed in the 3D space. In order to solve the problem of lighting exposure, we apply the technique of re-lighting to the VR production pipeline by comparing and analyzing the result image of actual image and virtual image data.

Virtual Reality Based Cultural Tourist Attractions converging with Souvenir (수베니어를 융합한 가상현실 기반의 문화 관광지 가상체험 서비스)

  • Lee, Ga-Yeon;Lee, Seok-hyun
    • Journal of Convergence for Information Technology
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    • v.7 no.3
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    • pp.111-116
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    • 2017
  • This study offers the possibility as a new product of souvenirs from cultural tourist sites with virtual reality contents, instead of a simple exhibit. Users can watch augmented reality contents on souvenirs, and use the virtual experience service of cultural tourist sites with VR viewer. It has 4K-class high-quality $360^{\circ}$ image capture to increase the immersion of users in virtual space, implement virtual reality space and intuitive UI interaction with users using IMU (Inertial Measurement Unit). It is also possible to apply various add-on functions, including 3D contents, through technical development to increase its marketability, and apply in other industries. In addition, the prototype of the souvenir and VR viewer will be made by using a 3D printer and such in order to apply the contents which will be introduced in this study. Various product expansions can be considered through consultation with the relevant companies for the use of ready-made products.

Evaluation of Dose Reduction and Maintaining Image Quality according to Exposure Factors of Cone Beam Computed Tomography (콘빔전산화단층촬영에서 노출 조건에 따른 화질 유지 및 선량 감소에 대한 평가)

  • Han, Jin-Woo
    • Journal of the Korean Society of Radiology
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    • v.14 no.4
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    • pp.353-360
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    • 2020
  • This research aims at suggesting exposure condition that shows maintaining the value of the physical image quality factor by decreasing tube voltage and tube current from the standard exposure condition(80 kV, 7 mA) of a CBCT apparatus. To measure the value of the physical image quality factor, modular transfer function(MTF) was analyzed and dose-area product(DAP) was used for the measurement of exposure dose. CBCT images of a Sedentex IQ phantom were obtained under 15 exposure conditions of different combination of tube voltage(80, 78, 76 kV) and tube current(7, 6, 5, 4, 3 mA) and MTF 10 was calculated under each exposure conditions. There were no significant differences in MTF 10 under 80 kV-6 mA, 80 kV-5 mA exposure conditions in comparison with standard exposure condition. Based on the results of this research, 80 kV-5 mA condition are expected to be able to reduce exposure dose with maintaining the value of the physical image quality factor of the standard exposure condition.

A Case Study on the Recommendation Services for Customized Fashion Styles based on Artificial Intelligence (인공지능에 의한 개인 맞춤 패션 스타일 추천 서비스 사례 연구)

  • An, Hyosun;Kwon, Suehee;Park, Minjung
    • Journal of the Korean Society of Clothing and Textiles
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    • v.43 no.3
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    • pp.349-360
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    • 2019
  • This study analyzes the trends of recommendation services for customized fashion styles in relation to artificial intelligence. To achieve this goal, the study examined filtering technologies of collaborative, content based, and deep-learning as well as analyzed the characteristics of recommendation services in the users' purchasing process. The results of this study showed that the most universal recommendation technology is collaborative filtering. Collaborative filtering was shown to allow intuitive searching of similar fashion styles in the cognition of need stage, and appeared to be useful in comparing prices but not suitable for innovative customers who pursue early trends. Second, content based filtering was shown to utilize body shape as a key personal profile item in order to reduce the possibility of failure when selecting sizes online, which has limits to being able to wear the product beforehand. Third, fashion style recommendations applied with deep-learning intervene with all user processes of buying products online that was also confirmed to penetrate into the creative area of image tag services, virtual reality services, clothes wearing fit evaluation services, and individually customized design services.